diff --git a/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.html b/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.html index 10a5f0674..1c3723fcf 100644 --- a/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.html +++ b/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.html @@ -13115,7 +13115,7 @@ div#notebook {
-
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+
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%load_ext autoreload
@@ -13129,7 +13129,7 @@ div#notebook {
-
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+
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import matplotlib.pyplot as plt
@@ -13140,6 +13140,8 @@ div#notebook {
 import expipe
 import os
 import pathlib
+import scipy
+import scipy.signal
 import numpy as np
 import exdir
 import pandas as pd
@@ -13162,28 +13164,10 @@ div#notebook {
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-
- - -
- -
- - -
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10:25:26 [I] klustakwik KlustaKwik2 version 0.2.6
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data_loader = dp.Data()
@@ -13198,7 +13182,7 @@ div#notebook {
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output = pathlib.Path('output/stimulus-spike-lfp-response')
@@ -13212,7 +13196,7 @@ div#notebook {
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identify_neurons = actions['identify-neurons']
@@ -13227,7 +13211,7 @@ div#notebook {
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def get_lim(action_id):
@@ -13258,7 +13242,7 @@ div#notebook {
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def signaltonoise(a, axis=0, ddof=0):
@@ -13266,16 +13250,6 @@ div#notebook {
     m = a.mean(axis)
     sd = a.std(axis=axis, ddof=ddof)
     return np.where(sd == 0, 0, m / sd)
-
-
-def compute_clean_lfp(anas, width=500, threshold=2):
-    anas = np.array(anas)
-
-    for ch in range(anas.shape[1]):
-        idxs, = np.where(abs(anas[:, ch]) > threshold)
-        for idx in idxs:
-            anas[idx-width:idx+width, ch] = 0 # TODO AR model prediction
-    return anas
@@ -13285,7 +13259,7 @@ div#notebook {
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+
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def compute_energy(p, f, f1, f2):
@@ -13303,7 +13277,7 @@ div#notebook {
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def find_theta_peak(p, f, f1, f2):
@@ -13324,7 +13298,7 @@ div#notebook {
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def compute_half_width(p, f, m_p, m_f):
@@ -13354,7 +13328,36 @@ div#notebook {
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+
+
+
# p = np.load('debug_p.npy')
+# f = np.load('debug_f.npy')
+# compute_half_width(p, f, 0.01038941, 30.30187709636872)
+
+ +
+
+
+ +
+
+
+
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+
+
+
# plt.plot(f, p)
+# plt.xlim(29.9,30.6)
+
+ +
+
+
+ +
+
+
+
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def compute_stim_peak(p, f, s_f):
@@ -13367,81 +13370,16 @@ div#notebook {
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-
def compute_spike_lfp(anas, sptr, t_start, t_stop, NFFT):
-
-    t_start = t_start * pq.s if t_start is not None else 0 * pq.s
-    sampling_rate = anas.sampling_rate
-    units = anas.units
-    if t_start is not None and t_stop is not None:
-        t_stop = t_stop * pq.s
-        mask = (anas.times > t_start) & (anas.times < t_stop)
-        anas = np.array(anas)[mask,:]
-
-    cleaned_anas = zscore(compute_clean_lfp(anas))
-    
-    cleaned_anas = neo.AnalogSignal(
-        signal=cleaned_anas * units, sampling_rate=sampling_rate, t_start=t_start
-    )
-
-    sptr = neo.SpikeTrain(
-        sptr.times[(sptr.times > t_start) & (sptr.times < cleaned_anas.times[-1])],
-        t_start=t_start, t_stop=cleaned_anas.times[-1]
-    )
-
-    sigs, freqs = el.sta.spike_field_coherence(cleaned_anas, sptr, **{'nperseg': NFFT})
-    return sigs, freqs, cleaned_anas
-
- -
-
-
- -
-
-
-
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-
-
-
# action_id_0 = '1833-200619-1'
-# action_id_1 = '1833-200619-2'
-# lfp_0 = data_loader.lfp(action_id_0, 6)
-# lfp_1 = data_loader.lfp(action_id_1, 6)
-
-# lim_0 = get_lim(action_id_0)
-# lim_1 = get_lim(action_id_1)
-
-# sptrs_0 = data_loader.spike_trains(action_id_0, 6)
-# sptrs_1 = data_loader.spike_trains(action_id_1, 6)
-
-# coher_0, freq_0, clean_lfp_0 = compute_spike_lfp(lfp_0, sptrs_0[163], *lim_0, 4096)
-# coher_1, freq_1, clean_lfp_1 = compute_spike_lfp(lfp_1, sptrs_1[28], *lim_1, 4096)
-
-# best_channel_0 = np.argmax(signaltonoise(clean_lfp_0))
-# best_channel_1 = np.argmax(signaltonoise(clean_lfp_1))
-
-# plt.plot(freq_0, coher_0[:,best_channel_0])
-# plt.plot(freq_1, coher_1[:,best_channel_1])
-# plt.xlim(0,20)
-
- -
-
-
-
In [14]:
-
NFFT = 4096*2
-theta_band_f1, theta_band_f2 = 6, 10 
+
def compute_spike_lfp_coherence(anas, sptr, NFFT):
+
+    sigs, freqs = el.sta.spike_field_coherence(anas, sptr, **{'nperseg': NFFT})
+    return sigs, freqs
@@ -13454,23 +13392,327 @@ div#notebook {
In [15]:
-
def process(row):
+
def butter_bandpass(lowcut, highcut, fs, order=5):
+    nyq = 0.5 * fs
+    low = lowcut / nyq
+    high = highcut / nyq
+    b, a = scipy.signal.butter(order, [low, high], btype='band')
+    return b, a
+
+
+def butter_bandpass_filter(data, lowcut, highcut, fs, order=5):
+    b, a = butter_bandpass(lowcut, highcut, fs, order=order)
+    y = scipy.signal.filtfilt(b, a, data)
+    return y
+
+def compute_spike_phase_func(lfp, times, return_degrees=False):
+    x_a = hilbert(lfp)
+    x_phase = np.angle(x_a)
+    if return_degrees:
+        x_phase = x_phase * 180 / np.pi
+    return interp1d(times, x_phase)
+
+
+def vonmises_kde(data, kappa=100, n_bins=100):
+    from scipy.special import i0
+    bins = np.linspace(-np.pi, np.pi, n_bins)
+    x = np.linspace(-np.pi, np.pi, n_bins)
+    # integrate vonmises kernels
+    kde = np.exp(kappa * np.cos(x[:, None] - data[None, :])).sum(1) / (2 * np.pi * i0(kappa))
+    kde /= np.trapz(kde, x=bins)
+    return bins, kde
+
+
+def spike_phase_score(phase_bins, density):
+    import math
+    import pycircstat as pc
+    ang = pc.mean(phase_bins, w=density)
+    vec_len = pc.resultant_vector_length(phase_bins, w=density)
+    # ci_lim = pc.mean_ci_limits(head_angle_bins, w=rate)
+    return ang, vec_len
+

+
+
+
+
+ +
+
+
+
In [16]:
+
+
+
def compute_clean_lfp(anas, width=500, threshold=2):
+    anas = np.array(anas)
+    idxs, = np.where(abs(anas) > threshold)
+    for idx in idxs:
+        anas[idx-width:idx+width] = 0 # TODO AR model prediction
+    return anas, idxs
+
+
+def compute_clean_spikes(spikes, idxs, times, width=500):
+
+    for idx in idxs:
+        t0 = times[idx-width]
+        stop = idx + width
+        if stop > len(times) - 1:
+            stop = len(times) - 1 
+        t1 = times[stop]
+        mask = (spikes > t0) & (spikes < t1)
+        spikes = spikes[~mask]
+    spikes = spikes[spikes <= times[-1]]
+    return spikes
+
+
+def prepare_spike_lfp(anas, sptr, t_start, t_stop):
+
+    t_start = t_start * pq.s if t_start is not None else 0 * pq.s
+    sampling_rate = anas.sampling_rate
+    units = anas.units
+    times = anas.times
+    if t_start is not None and t_stop is not None:
+        t_stop = t_stop * pq.s
+        mask = (times > t_start) & (times < t_stop)
+        anas = np.array(anas)[mask,:]
+        times = times[mask]
+
+    best_channel = np.argmax(signaltonoise(anas))
+#     best_channel = np.random.choice(anas.shape[1])
+    
+    cleaned_anas, idxs = compute_clean_lfp(anas[:, best_channel])
+    
+    cleaned_anas = neo.AnalogSignal(
+        signal=cleaned_anas * units, sampling_rate=sampling_rate, t_start=t_start
+    )
+    
+    spike_units = sptr.units
+    spike_times = sptr.times
+    spike_times = compute_clean_spikes(spike_times, idxs, times)
+
+    sptr = neo.SpikeTrain(
+        spike_times[(spike_times > t_start) & (spike_times < times[-1])], units=spike_units,
+        t_start=t_start, t_stop=times[-1]
+    )
+
+    return cleaned_anas, sptr, best_channel
+
+ +
+
+
+ +
+
+
+
In [17]:
+
+
+
def compute_spike_phase_func(lfp, times, return_degrees=False):
+    from scipy.fftpack import next_fast_len
+    x_a = scipy.signal.hilbert(
+        lfp, next_fast_len(len(lfp)))[:len(lfp)]
+#     x_a = hilbert(lfp)
+    x_phase = np.angle(x_a, deg=return_degrees)
+    return interp1d(times, x_phase)
+
+
+def compute_spike_phase(lfp, spikes, flim=[6,10]):
+    
+    sample_rate = lfp.sampling_rate.magnitude
+    
+    # sometimes the position is recorded after LFP recording is ended
+    times = np.arange(lfp.shape[0]) / sample_rate
+     
+    spikes = np.array(spikes)
+    spikes = spikes[(spikes > times.min()) & (spikes < times.max())]
+    
+    filtered_lfp = butter_bandpass_filter(
+        lfp.magnitude.ravel(), *flim, fs=sample_rate, order=3)
+
+    spike_phase_func = compute_spike_phase_func(filtered_lfp, times)
+    
+    return spike_phase_func(spikes), filtered_lfp
+
+ +
+
+
+ +
+
+
+
In [18]:
+
+
+
# plt.figure(figsize=(16,9))
+# # lfp = data_loader.lfp('1833-200619-2', 6)
+# lfp = data_loader.lfp('1834-220319-3', 6)
+# # lfp = data_loader.lfp('1849-010319-4', 6)
+# times = np.arange(lfp.shape[0]) / lfp.sampling_rate.magnitude
+# clean_lfp, _ = compute_clean_lfp(lfp.magnitude[:, 0], threshold=2)
+# plt.plot(times,lfp[:,0])
+# plt.plot(times,clean_lfp)
+
+# plt.figure(figsize=(16,9))
+# plt.psd(lfp[:,0].ravel(), Fs=1000, NFFT=10000)
+# plt.psd(clean_lfp, Fs=1000, NFFT=10000)
+# plt.xlim(0,100)
+
+ +
+
+
+ +
+
+
+
In [19]:
+
+
+
# plt.figure(figsize=(16,9))
+
+# plt.plot(times,lfp[:,0])
+# # plt.plot(clean_lfp*100)
+# plt.plot(times[:-1], np.diff(lfp[:,0].magnitude.ravel()))
+# plt.xlim(64.5,65.5)
+# # plt.ylim(-250,250)
+
+ +
+
+
+ +
+
+
+
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+
+
+
# # action_id_0, channel_0, unit_0 = '1833-200619-1', 6, 163
+# # action_id_1, channel_1, unit_1 = '1833-200619-2', 6, 28
+# action_id_0, channel_0, unit_0 = '1834-220319-3', 2, 46
+# action_id_1, channel_1, unit_1 = '1834-220319-4', 2, 60
+# lfp_0 = data_loader.lfp(action_id_0, channel_0)
+# lfp_1 = data_loader.lfp(action_id_1, channel_1)
+
+# sample_rate_0 = lfp_0.sampling_rate
+# sample_rate_1 = lfp_1.sampling_rate
+
+# lim_0 = get_lim(action_id_0)
+# lim_1 = get_lim(action_id_1)
+
+# sptrs_0 = data_loader.spike_trains(action_id_0, channel_0)
+
+# sptrs_1 = data_loader.spike_trains(action_id_1, channel_1)
+
+# cleaned_lfps_0, sptr_0, best_channel_0 = prepare_spike_lfp(lfp_0, sptrs_0[unit_0], *lim_0)
+
+# cleaned_lfps_1, sptr_1, best_channel_1 = prepare_spike_lfp(lfp_1, sptrs_1[unit_1], *lim_1)
+
+# coher_0, freq_0 = compute_spike_lfp_coherence(cleaned_lfps_0, sptr_0, 4096)
+
+# coher_1, freq_1 = compute_spike_lfp_coherence(cleaned_lfps_1, sptr_1, 4096)
+
+# spike_phase_0, filtered_lfp_0 = compute_spike_phase(cleaned_lfps_0, sptrs_0[unit_0], flim=[6,10])
+
+# spike_phase_1, filtered_lfp_1 = compute_spike_phase(cleaned_lfps_1, sptrs_1[unit_1], flim=[6,10])
+
+# spike_phase_1_stim, filtered_lfp_1_stim = compute_spike_phase(cleaned_lfps_1, sptrs_1[unit_1], flim=[10.5,11.5])
+
+# plt.figure()
+# plt.plot(freq_0, coher_0.ravel())
+# plt.plot(freq_1, coher_1.ravel())
+# plt.xlim(0,20)
+
+# plt.figure()
+# bins_0, kde_0 = vonmises_kde(spike_phase_0, 100)
+# ang_0, vec_len_0 = spike_phase_score(bins_0, kde_0)
+# plt.polar(bins_0, kde_0, color='b')
+# plt.polar([ang_0, ang_0], [0, vec_len_0], color='b')
+
+# bins_1, kde_1 = vonmises_kde(spike_phase_1, 100)
+# ang_1, vec_len_1 = spike_phase_score(bins_1, kde_1)
+# plt.polar(bins_1, kde_1, color='r')
+# plt.polar([ang_1, ang_1], [0, vec_len_1], color='r')
+
+# bins_1_stim, kde_1_stim = vonmises_kde(spike_phase_1_stim, 100)
+# ang_1_stim, vec_len_1_stim = spike_phase_score(bins_1_stim, kde_1_stim)
+# plt.polar(bins_1_stim, kde_1_stim, color='k')
+# plt.polar([ang_1_stim, ang_1_stim], [0, vec_len_1_stim], color='k')
+
+ +
+
+
+ +
+
+
+
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+
+
+
 
+
+ +
+
+
+ +
+
+
+
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+
+
+
# TODO fix artefact stuff from phase precession
+
+ +
+
+
+ +
+
+
+
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+
+
+
NFFT = 8192
+theta_band_f1, theta_band_f2 = 6, 10 
+
+ +
+
+
+ +
+
+
+
In [23]:
+
+
+
coherence_data, freqency_data = {}, {}
+theta_kde_data, theta_bins_data = {}, {}
+stim_kde_data, stim_bins_data = {}, {}
+
+def process(row):
     action_id = row['action']
     channel_group = row['channel_group']
     unit_name = row['unit_name']
     
+    name = f'{action_id}_{channel_group}_{unit_name}'
+    
     lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response
     
     sptr = data_loader.spike_train(action_id, channel_group, unit_name)
        
     lim = get_lim(action_id)
-
-    p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)
     
-    snls = signaltonoise(clean_lfp)
-    best_channel = np.argmax(snls)
-    snl = snls[best_channel]
-    p_xy = p_xys[:,best_channel].magnitude
+    cleaned_lfp, sptr, best_channel = prepare_spike_lfp(lfp, sptr, *lim)
+       
+    p_xys, freq = compute_spike_lfp_coherence(cleaned_lfp, sptr, NFFT=NFFT)
+    
+    p_xy = p_xys.magnitude.ravel()
     freq = freq.magnitude
     
     theta_f, theta_p_max = find_theta_peak(p_xy, freq, theta_band_f1, theta_band_f2)
@@ -13483,6 +13725,12 @@ div#notebook {
     
     theta_half_energy = compute_energy(p_xy, freq, theta_half_f1, theta_half_f2) # theta band 6 - 10 Hz
     
+    theta_spike_phase, _ = compute_spike_phase(cleaned_lfp, sptr, flim=[theta_band_f1, theta_band_f2])
+    theta_bins, theta_kde = vonmises_kde(theta_spike_phase)
+    theta_ang, theta_vec_len = spike_phase_score(theta_bins, theta_kde)
+    theta_kde_data.update({name: theta_kde})
+    theta_bins_data.update({name: theta_bins})
+
     # stim
     
     stim_freq = compute_stim_freq(action_id)
@@ -13494,8 +13742,19 @@ div#notebook {
     
     stim_energy = compute_energy(p_xy, freq, stim_half_f1, stim_half_f2)
     
+    if np.isnan(stim_freq):
+        stim_spike_phase, stim_bins, stim_kde, stim_ang, stim_vec_len = [np.nan] * 5
+    else:
+        stim_spike_phase, _ = compute_spike_phase(cleaned_lfp, sptr, flim=[stim_freq - .5, stim_freq + .5])
+        stim_bins, stim_kde = vonmises_kde(stim_spike_phase)
+        stim_ang, stim_vec_len = spike_phase_score(stim_bins, stim_kde)
+        stim_kde_data.update({name: stim_kde})
+        stim_bins_data.update({name: stim_bins})
+        
+    coherence_data.update({name: p_xy})
+    freqency_data.update({name: freq})
+    
     result = pd.Series({
-        'signal_to_noise': snl,
         'best_channel': best_channel,
         'theta_freq': theta_f,
         'theta_peak': theta_p_max,
@@ -13504,12 +13763,16 @@ div#notebook {
         'theta_half_f2': theta_half_f2,
         'theta_half_width': theta_half_width,
         'theta_half_energy': theta_half_energy,
+        'theta_ang': theta_ang, 
+        'theta_vec_len': theta_vec_len,
         'stim_freq': stim_freq,
         'stim_p_max': stim_p_max,
         'stim_half_f1': stim_half_f1, 
         'stim_half_f2': stim_half_f2,
         'stim_half_width': stim_half_width,
-        'stim_energy': stim_energy
+        'stim_energy': stim_energy,
+        'stim_ang': stim_ang, 
+        'stim_vec_len': stim_vec_len
     })
     return result
@@ -13521,7 +13784,7 @@ div#notebook {
-
In [16]:
+
In [24]:
results = units.merge(
@@ -13547,13 +13810,13 @@ div#notebook {
 
  
  
-

+

 

 
 
 

 
@@ -13565,8 +13828,9 @@ var element = $('#fdf01411-110c-4f09-8a74-86966ed09bad');
 
 
 

-
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/signal/spectral.py:1578: RuntimeWarning: invalid value encountered in true_divide
+
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/signal/spectral.py:1577: RuntimeWarning: invalid value encountered in true_divide
   Cxy = np.abs(Pxy)**2 / Pxx / Pyy
+/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/ipykernel_launcher.py:28: RuntimeWarning: invalid value encountered in true_divide
@@ -13585,97 +13849,54 @@ var element = $('#fdf01411-110c-4f09-8a74-86966ed09bad');
-
-
-
-
-

plot

-
-
-
In [17]:
+
In [25]:
-
coher, freqs = {}, {}
-for i, row in tqdm(units.iterrows(), total=len(units)):
-    action_id = row['action']
-    channel_group = row['channel_group']
-    unit_name = row['unit_name']
+
# coher, freqs = {}, {}
+# for i, row in tqdm(units.iterrows(), total=len(units)):
+#     action_id = row['action']
+#     channel_group = row['channel_group']
+#     unit_name = row['unit_name']
     
-    name = f'{action_id}_{channel_group}_{unit_name}'
+#     name = f'{action_id}_{channel_group}_{unit_name}'
     
-    lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response
+#     lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response
     
-    sptr = data_loader.spike_train(action_id, channel_group, unit_name)
+#     sptr = data_loader.spike_train(action_id, channel_group, unit_name)
        
-    lim = get_lim(action_id)
+#     lim = get_lim(action_id)
 
-    p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)
+#     p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)
     
-    snls = signaltonoise(clean_lfp)
-    best_channel = np.argmax(snls)
-    snl = snls[best_channel]
-    p_xy = p_xys[:,best_channel].magnitude
-    freq = freq.magnitude
+#     snls = signaltonoise(clean_lfp)
+#     best_channel = np.argmax(snls)
+#     snl = snls[best_channel]
+#     p_xy = p_xys[:,best_channel].magnitude
+#     freq = freq.magnitude
     
-    coher.update({name: p_xy})
-    freqs.update({name: freq})
+#     coher.update({name: p_xy})
+#     freqs.update({name: freq})
-
-
- - -
- -
- - - - - - - -
-
- - -
- -
- -
- -
- - -
-
-
-
-
- -
-
-
-
In [18]:
+
In [26]:
-
coher.to_feather(output / 'data' / 'coherence.feather')
-freqs.to_feather(output / 'data' / 'freqs.feather')
+
pd.DataFrame(coherence_data).to_feather(output / 'data' / 'coherence.feather')
+pd.DataFrame(frequency_data).to_feather(output / 'data' / 'freqs.feather')
+pd.DataFrame(theta_kde_data).to_feather(output / 'data' / 'theta_kde.feather')
+pd.DataFrame(theta_bins_data).to_feather(output / 'data' / 'theta_bins.feather')
+pd.DataFrame(stim_kde_data).to_feather(output / 'data' / 'stim_kde.feather')
+pd.DataFrame(stim_bins_data).to_feather(output / 'data' / 'stim_bins.feather')
@@ -13694,12 +13915,15 @@ var element = $('#0aa9c06f-773a-4f88-a2ad-e7de5c5ebe40'); 
 ---------------------------------------------------------------------------
-AttributeError                            Traceback (most recent call last)
-<ipython-input-18-bf8a91a90c5a> in <module>
-----> 1 coher.to_feather(output / 'data' / 'coherence.feather')
-      2 freqs.to_feather(output / 'data' / 'freqs.feather')
+NameError                                 Traceback (most recent call last)
+<ipython-input-26-64114f1ea8bd> in <module>
+      1 pd.DataFrame(coherence_data).to_feather(output / 'data' / 'coherence.feather')
+----> 2 pd.DataFrame(frequency_data).to_feather(output / 'data' / 'freqs.feather')
+      3 pd.DataFrame(theta_kde_data).to_feather(output / 'data' / 'theta_kde.feather')
+      4 pd.DataFrame(theta_bins_data).to_feather(output / 'data' / 'theta_bins.feather')
+      5 pd.DataFrame(stim_kde_data).to_feather(output / 'data' / 'stim_kde.feather')
 
-AttributeError: 'dict' object has no attribute 'to_feather'
+NameError: name 'frequency_data' is not defined
diff --git a/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.ipynb b/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.ipynb index 6bdbd8f08..6fdf977da 100644 --- a/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.ipynb +++ b/actions/stimulus-spike-lfp-response/data/10-calculate-stimulus-spike-lfp-response.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -12,17 +12,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "10:25:26 [I] klustakwik KlustaKwik2 version 0.2.6\n" - ] - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", @@ -32,6 +24,8 @@ "import expipe\n", "import os\n", "import pathlib\n", + "import scipy\n", + "import scipy.signal\n", "import numpy as np\n", "import exdir\n", "import pandas as pd\n", @@ -52,7 +46,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -63,7 +57,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -73,7 +67,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -84,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -111,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -119,22 +113,12 @@ " a = np.asanyarray(a)\n", " m = a.mean(axis)\n", " sd = a.std(axis=axis, ddof=ddof)\n", - " return np.where(sd == 0, 0, m / sd)\n", - "\n", - "\n", - "def compute_clean_lfp(anas, width=500, threshold=2):\n", - " anas = np.array(anas)\n", - "\n", - " for ch in range(anas.shape[1]):\n", - " idxs, = np.where(abs(anas[:, ch]) > threshold)\n", - " for idx in idxs:\n", - " anas[idx-width:idx+width, ch] = 0 # TODO AR model prediction\n", - " return anas" + " return np.where(sd == 0, 0, m / sd)" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -148,7 +132,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -165,7 +149,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -191,7 +175,28 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# p = np.load('debug_p.npy')\n", + "# f = np.load('debug_f.npy')\n", + "# compute_half_width(p, f, 0.01038941, 30.30187709636872)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "# plt.plot(f, p)\n", + "# plt.xlim(29.9,30.6)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -201,73 +206,16 @@ " return interp1d(f, p)(s_f)" ] }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "def compute_spike_lfp(anas, sptr, t_start, t_stop, NFFT):\n", - "\n", - " t_start = t_start * pq.s if t_start is not None else 0 * pq.s\n", - " sampling_rate = anas.sampling_rate\n", - " units = anas.units\n", - " if t_start is not None and t_stop is not None:\n", - " t_stop = t_stop * pq.s\n", - " mask = (anas.times > t_start) & (anas.times < t_stop)\n", - " anas = np.array(anas)[mask,:]\n", - "\n", - " cleaned_anas = zscore(compute_clean_lfp(anas))\n", - " \n", - " cleaned_anas = neo.AnalogSignal(\n", - " signal=cleaned_anas * units, sampling_rate=sampling_rate, t_start=t_start\n", - " )\n", - "\n", - " sptr = neo.SpikeTrain(\n", - " sptr.times[(sptr.times > t_start) & (sptr.times < cleaned_anas.times[-1])],\n", - " t_start=t_start, t_stop=cleaned_anas.times[-1]\n", - " )\n", - "\n", - " sigs, freqs = el.sta.spike_field_coherence(cleaned_anas, sptr, **{'nperseg': NFFT})\n", - " return sigs, freqs, cleaned_anas" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "# action_id_0 = '1833-200619-1'\n", - "# action_id_1 = '1833-200619-2'\n", - "# lfp_0 = data_loader.lfp(action_id_0, 6)\n", - "# lfp_1 = data_loader.lfp(action_id_1, 6)\n", - "\n", - "# lim_0 = get_lim(action_id_0)\n", - "# lim_1 = get_lim(action_id_1)\n", - "\n", - "# sptrs_0 = data_loader.spike_trains(action_id_0, 6)\n", - "# sptrs_1 = data_loader.spike_trains(action_id_1, 6)\n", - "\n", - "# coher_0, freq_0, clean_lfp_0 = compute_spike_lfp(lfp_0, sptrs_0[163], *lim_0, 4096)\n", - "# coher_1, freq_1, clean_lfp_1 = compute_spike_lfp(lfp_1, sptrs_1[28], *lim_1, 4096)\n", - "\n", - "# best_channel_0 = np.argmax(signaltonoise(clean_lfp_0))\n", - "# best_channel_1 = np.argmax(signaltonoise(clean_lfp_1))\n", - "\n", - "# plt.plot(freq_0, coher_0[:,best_channel_0])\n", - "# plt.plot(freq_1, coher_1[:,best_channel_1])\n", - "# plt.xlim(0,20)" - ] - }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ - "NFFT = 4096*2\n", - "theta_band_f1, theta_band_f2 = 6, 10 " + "def compute_spike_lfp_coherence(anas, sptr, NFFT):\n", + "\n", + " sigs, freqs = el.sta.spike_field_coherence(anas, sptr, **{'nperseg': NFFT})\n", + " return sigs, freqs" ] }, { @@ -276,23 +224,289 @@ "metadata": {}, "outputs": [], "source": [ + "def butter_bandpass(lowcut, highcut, fs, order=5):\n", + " nyq = 0.5 * fs\n", + " low = lowcut / nyq\n", + " high = highcut / nyq\n", + " b, a = scipy.signal.butter(order, [low, high], btype='band')\n", + " return b, a\n", + "\n", + "\n", + "def butter_bandpass_filter(data, lowcut, highcut, fs, order=5):\n", + " b, a = butter_bandpass(lowcut, highcut, fs, order=order)\n", + " y = scipy.signal.filtfilt(b, a, data)\n", + " return y\n", + "\n", + "def compute_spike_phase_func(lfp, times, return_degrees=False):\n", + " x_a = hilbert(lfp)\n", + " x_phase = np.angle(x_a)\n", + " if return_degrees:\n", + " x_phase = x_phase * 180 / np.pi\n", + " return interp1d(times, x_phase)\n", + "\n", + "\n", + "def vonmises_kde(data, kappa=100, n_bins=100):\n", + " from scipy.special import i0\n", + " bins = np.linspace(-np.pi, np.pi, n_bins)\n", + " x = np.linspace(-np.pi, np.pi, n_bins)\n", + " # integrate vonmises kernels\n", + " kde = np.exp(kappa * np.cos(x[:, None] - data[None, :])).sum(1) / (2 * np.pi * i0(kappa))\n", + " kde /= np.trapz(kde, x=bins)\n", + " return bins, kde\n", + "\n", + "\n", + "def spike_phase_score(phase_bins, density):\n", + " import math\n", + " import pycircstat as pc\n", + " ang = pc.mean(phase_bins, w=density)\n", + " vec_len = pc.resultant_vector_length(phase_bins, w=density)\n", + " # ci_lim = pc.mean_ci_limits(head_angle_bins, w=rate)\n", + " return ang, vec_len" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_clean_lfp(anas, width=500, threshold=2):\n", + " anas = np.array(anas)\n", + " idxs, = np.where(abs(anas) > threshold)\n", + " for idx in idxs:\n", + " anas[idx-width:idx+width] = 0 # TODO AR model prediction\n", + " return anas, idxs\n", + "\n", + "\n", + "def compute_clean_spikes(spikes, idxs, times, width=500):\n", + "\n", + " for idx in idxs:\n", + " t0 = times[idx-width]\n", + " stop = idx + width\n", + " if stop > len(times) - 1:\n", + " stop = len(times) - 1 \n", + " t1 = times[stop]\n", + " mask = (spikes > t0) & (spikes < t1)\n", + " spikes = spikes[~mask]\n", + " spikes = spikes[spikes <= times[-1]]\n", + " return spikes\n", + "\n", + "\n", + "def prepare_spike_lfp(anas, sptr, t_start, t_stop):\n", + "\n", + " t_start = t_start * pq.s if t_start is not None else 0 * pq.s\n", + " sampling_rate = anas.sampling_rate\n", + " units = anas.units\n", + " times = anas.times\n", + " if t_start is not None and t_stop is not None:\n", + " t_stop = t_stop * pq.s\n", + " mask = (times > t_start) & (times < t_stop)\n", + " anas = np.array(anas)[mask,:]\n", + " times = times[mask]\n", + "\n", + " best_channel = np.argmax(signaltonoise(anas))\n", + "# best_channel = np.random.choice(anas.shape[1])\n", + " \n", + " cleaned_anas, idxs = compute_clean_lfp(anas[:, best_channel])\n", + " \n", + " cleaned_anas = neo.AnalogSignal(\n", + " signal=cleaned_anas * units, sampling_rate=sampling_rate, t_start=t_start\n", + " )\n", + " \n", + " spike_units = sptr.units\n", + " spike_times = sptr.times\n", + " spike_times = compute_clean_spikes(spike_times, idxs, times)\n", + "\n", + " sptr = neo.SpikeTrain(\n", + " spike_times[(spike_times > t_start) & (spike_times < times[-1])], units=spike_units,\n", + " t_start=t_start, t_stop=times[-1]\n", + " )\n", + "\n", + " return cleaned_anas, sptr, best_channel" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_spike_phase_func(lfp, times, return_degrees=False):\n", + " from scipy.fftpack import next_fast_len\n", + " x_a = scipy.signal.hilbert(\n", + " lfp, next_fast_len(len(lfp)))[:len(lfp)]\n", + "# x_a = hilbert(lfp)\n", + " x_phase = np.angle(x_a, deg=return_degrees)\n", + " return interp1d(times, x_phase)\n", + "\n", + "\n", + "def compute_spike_phase(lfp, spikes, flim=[6,10]):\n", + " \n", + " sample_rate = lfp.sampling_rate.magnitude\n", + " \n", + " # sometimes the position is recorded after LFP recording is ended\n", + " times = np.arange(lfp.shape[0]) / sample_rate\n", + " \n", + " spikes = np.array(spikes)\n", + " spikes = spikes[(spikes > times.min()) & (spikes < times.max())]\n", + " \n", + " filtered_lfp = butter_bandpass_filter(\n", + " lfp.magnitude.ravel(), *flim, fs=sample_rate, order=3)\n", + "\n", + " spike_phase_func = compute_spike_phase_func(filtered_lfp, times)\n", + " \n", + " return spike_phase_func(spikes), filtered_lfp" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# plt.figure(figsize=(16,9))\n", + "# # lfp = data_loader.lfp('1833-200619-2', 6)\n", + "# lfp = data_loader.lfp('1834-220319-3', 6)\n", + "# # lfp = data_loader.lfp('1849-010319-4', 6)\n", + "# times = np.arange(lfp.shape[0]) / lfp.sampling_rate.magnitude\n", + "# clean_lfp, _ = compute_clean_lfp(lfp.magnitude[:, 0], threshold=2)\n", + "# plt.plot(times,lfp[:,0])\n", + "# plt.plot(times,clean_lfp)\n", + "\n", + "# plt.figure(figsize=(16,9))\n", + "# plt.psd(lfp[:,0].ravel(), Fs=1000, NFFT=10000)\n", + "# plt.psd(clean_lfp, Fs=1000, NFFT=10000)\n", + "# plt.xlim(0,100)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# plt.figure(figsize=(16,9))\n", + "\n", + "# plt.plot(times,lfp[:,0])\n", + "# # plt.plot(clean_lfp*100)\n", + "# plt.plot(times[:-1], np.diff(lfp[:,0].magnitude.ravel()))\n", + "# plt.xlim(64.5,65.5)\n", + "# # plt.ylim(-250,250)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# # action_id_0, channel_0, unit_0 = '1833-200619-1', 6, 163\n", + "# # action_id_1, channel_1, unit_1 = '1833-200619-2', 6, 28\n", + "# action_id_0, channel_0, unit_0 = '1834-220319-3', 2, 46\n", + "# action_id_1, channel_1, unit_1 = '1834-220319-4', 2, 60\n", + "# lfp_0 = data_loader.lfp(action_id_0, channel_0)\n", + "# lfp_1 = data_loader.lfp(action_id_1, channel_1)\n", + "\n", + "# sample_rate_0 = lfp_0.sampling_rate\n", + "# sample_rate_1 = lfp_1.sampling_rate\n", + "\n", + "# lim_0 = get_lim(action_id_0)\n", + "# lim_1 = get_lim(action_id_1)\n", + "\n", + "# sptrs_0 = data_loader.spike_trains(action_id_0, channel_0)\n", + "\n", + "# sptrs_1 = data_loader.spike_trains(action_id_1, channel_1)\n", + "\n", + "# cleaned_lfps_0, sptr_0, best_channel_0 = prepare_spike_lfp(lfp_0, sptrs_0[unit_0], *lim_0)\n", + "\n", + "# cleaned_lfps_1, sptr_1, best_channel_1 = prepare_spike_lfp(lfp_1, sptrs_1[unit_1], *lim_1)\n", + "\n", + "# coher_0, freq_0 = compute_spike_lfp_coherence(cleaned_lfps_0, sptr_0, 4096)\n", + "\n", + "# coher_1, freq_1 = compute_spike_lfp_coherence(cleaned_lfps_1, sptr_1, 4096)\n", + "\n", + "# spike_phase_0, filtered_lfp_0 = compute_spike_phase(cleaned_lfps_0, sptrs_0[unit_0], flim=[6,10])\n", + "\n", + "# spike_phase_1, filtered_lfp_1 = compute_spike_phase(cleaned_lfps_1, sptrs_1[unit_1], flim=[6,10])\n", + "\n", + "# spike_phase_1_stim, filtered_lfp_1_stim = compute_spike_phase(cleaned_lfps_1, sptrs_1[unit_1], flim=[10.5,11.5])\n", + "\n", + "# plt.figure()\n", + "# plt.plot(freq_0, coher_0.ravel())\n", + "# plt.plot(freq_1, coher_1.ravel())\n", + "# plt.xlim(0,20)\n", + "\n", + "# plt.figure()\n", + "# bins_0, kde_0 = vonmises_kde(spike_phase_0, 100)\n", + "# ang_0, vec_len_0 = spike_phase_score(bins_0, kde_0)\n", + "# plt.polar(bins_0, kde_0, color='b')\n", + "# plt.polar([ang_0, ang_0], [0, vec_len_0], color='b')\n", + "\n", + "# bins_1, kde_1 = vonmises_kde(spike_phase_1, 100)\n", + "# ang_1, vec_len_1 = spike_phase_score(bins_1, kde_1)\n", + "# plt.polar(bins_1, kde_1, color='r')\n", + "# plt.polar([ang_1, ang_1], [0, vec_len_1], color='r')\n", + "\n", + "# bins_1_stim, kde_1_stim = vonmises_kde(spike_phase_1_stim, 100)\n", + "# ang_1_stim, vec_len_1_stim = spike_phase_score(bins_1_stim, kde_1_stim)\n", + "# plt.polar(bins_1_stim, kde_1_stim, color='k')\n", + "# plt.polar([ang_1_stim, ang_1_stim], [0, vec_len_1_stim], color='k')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "# TODO fix artefact stuff from phase precession" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "NFFT = 8192\n", + "theta_band_f1, theta_band_f2 = 6, 10 " + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "coherence_data, freqency_data = {}, {}\n", + "theta_kde_data, theta_bins_data = {}, {}\n", + "stim_kde_data, stim_bins_data = {}, {}\n", + "\n", "def process(row):\n", " action_id = row['action']\n", " channel_group = row['channel_group']\n", " unit_name = row['unit_name']\n", " \n", + " name = f'{action_id}_{channel_group}_{unit_name}'\n", + " \n", " lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response\n", " \n", " sptr = data_loader.spike_train(action_id, channel_group, unit_name)\n", " \n", " lim = get_lim(action_id)\n", - "\n", - " p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)\n", " \n", - " snls = signaltonoise(clean_lfp)\n", - " best_channel = np.argmax(snls)\n", - " snl = snls[best_channel]\n", - " p_xy = p_xys[:,best_channel].magnitude\n", + " cleaned_lfp, sptr, best_channel = prepare_spike_lfp(lfp, sptr, *lim)\n", + " \n", + " p_xys, freq = compute_spike_lfp_coherence(cleaned_lfp, sptr, NFFT=NFFT)\n", + " \n", + " p_xy = p_xys.magnitude.ravel()\n", " freq = freq.magnitude\n", " \n", " theta_f, theta_p_max = find_theta_peak(p_xy, freq, theta_band_f1, theta_band_f2)\n", @@ -305,6 +519,12 @@ " \n", " theta_half_energy = compute_energy(p_xy, freq, theta_half_f1, theta_half_f2) # theta band 6 - 10 Hz\n", " \n", + " theta_spike_phase, _ = compute_spike_phase(cleaned_lfp, sptr, flim=[theta_band_f1, theta_band_f2])\n", + " theta_bins, theta_kde = vonmises_kde(theta_spike_phase)\n", + " theta_ang, theta_vec_len = spike_phase_score(theta_bins, theta_kde)\n", + " theta_kde_data.update({name: theta_kde})\n", + " theta_bins_data.update({name: theta_bins})\n", + "\n", " # stim\n", " \n", " stim_freq = compute_stim_freq(action_id)\n", @@ -316,8 +536,19 @@ " \n", " stim_energy = compute_energy(p_xy, freq, stim_half_f1, stim_half_f2)\n", " \n", + " if np.isnan(stim_freq):\n", + " stim_spike_phase, stim_bins, stim_kde, stim_ang, stim_vec_len = [np.nan] * 5\n", + " else:\n", + " stim_spike_phase, _ = compute_spike_phase(cleaned_lfp, sptr, flim=[stim_freq - .5, stim_freq + .5])\n", + " stim_bins, stim_kde = vonmises_kde(stim_spike_phase)\n", + " stim_ang, stim_vec_len = spike_phase_score(stim_bins, stim_kde)\n", + " stim_kde_data.update({name: stim_kde})\n", + " stim_bins_data.update({name: stim_bins})\n", + " \n", + " coherence_data.update({name: p_xy})\n", + " freqency_data.update({name: freq})\n", + " \n", " result = pd.Series({\n", - " 'signal_to_noise': snl,\n", " 'best_channel': best_channel,\n", " 'theta_freq': theta_f,\n", " 'theta_peak': theta_p_max,\n", @@ -326,30 +557,34 @@ " 'theta_half_f2': theta_half_f2,\n", " 'theta_half_width': theta_half_width,\n", " 'theta_half_energy': theta_half_energy,\n", + " 'theta_ang': theta_ang, \n", + " 'theta_vec_len': theta_vec_len,\n", " 'stim_freq': stim_freq,\n", " 'stim_p_max': stim_p_max,\n", " 'stim_half_f1': stim_half_f1, \n", " 'stim_half_f2': stim_half_f2,\n", " 'stim_half_width': stim_half_width,\n", - " 'stim_energy': stim_energy\n", + " 'stim_energy': stim_energy,\n", + " 'stim_ang': stim_ang, \n", + " 'stim_vec_len': stim_vec_len\n", " })\n", " return result" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "564d1ef5339f46eebee42ec41cfcfe62", + "model_id": "199c002aa9604451a318e3f471c9d892", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "HBox(children=(IntProgress(value=0, max=1298), HTML(value='')))" + "HBox(children=(IntProgress(value=0, max=1284), HTML(value='')))" ] }, "metadata": {}, @@ -359,8 +594,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/signal/spectral.py:1578: RuntimeWarning: invalid value encountered in true_divide\n", - " Cxy = np.abs(Pxy)**2 / Pxx / Pyy\n" + "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/scipy/signal/spectral.py:1577: RuntimeWarning: invalid value encountered in true_divide\n", + " Cxy = np.abs(Pxy)**2 / Pxx / Pyy\n", + "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/ipykernel_launcher.py:28: RuntimeWarning: invalid value encountered in true_divide\n" ] }, { @@ -377,87 +613,62 @@ " left_index=True, right_index=True)" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# plot" - ] - }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 25, "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "b20a9a26e0864f578e1a9aa0c021999b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(IntProgress(value=0, max=1298), HTML(value='')))" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ - "coher, freqs = {}, {}\n", - "for i, row in tqdm(units.iterrows(), total=len(units)):\n", - " action_id = row['action']\n", - " channel_group = row['channel_group']\n", - " unit_name = row['unit_name']\n", + "# coher, freqs = {}, {}\n", + "# for i, row in tqdm(units.iterrows(), total=len(units)):\n", + "# action_id = row['action']\n", + "# channel_group = row['channel_group']\n", + "# unit_name = row['unit_name']\n", " \n", - " name = f'{action_id}_{channel_group}_{unit_name}'\n", + "# name = f'{action_id}_{channel_group}_{unit_name}'\n", " \n", - " lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response\n", + "# lfp = data_loader.lfp(action_id, channel_group) # TODO consider choosing strongest stim response\n", " \n", - " sptr = data_loader.spike_train(action_id, channel_group, unit_name)\n", + "# sptr = data_loader.spike_train(action_id, channel_group, unit_name)\n", " \n", - " lim = get_lim(action_id)\n", + "# lim = get_lim(action_id)\n", "\n", - " p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)\n", + "# p_xys, freq, clean_lfp = compute_spike_lfp(lfp, sptr, *lim, NFFT=NFFT)\n", " \n", - " snls = signaltonoise(clean_lfp)\n", - " best_channel = np.argmax(snls)\n", - " snl = snls[best_channel]\n", - " p_xy = p_xys[:,best_channel].magnitude\n", - " freq = freq.magnitude\n", + "# snls = signaltonoise(clean_lfp)\n", + "# best_channel = np.argmax(snls)\n", + "# snl = snls[best_channel]\n", + "# p_xy = p_xys[:,best_channel].magnitude\n", + "# freq = freq.magnitude\n", " \n", - " coher.update({name: p_xy})\n", - " freqs.update({name: freq})" + "# coher.update({name: p_xy})\n", + "# freqs.update({name: freq})" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 26, "metadata": {}, "outputs": [ { - "ename": "AttributeError", - "evalue": "'dict' object has no attribute 'to_feather'", + "ename": "NameError", + "evalue": "name 'frequency_data' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mcoher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'coherence.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mfreqs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'freqs.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mAttributeError\u001b[0m: 'dict' object has no attribute 'to_feather'" + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcoherence_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'coherence.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfrequency_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'freqs.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtheta_kde_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'theta_kde.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtheta_bins_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'theta_bins.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstim_kde_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_feather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'data'\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;34m'stim_kde.feather'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mNameError\u001b[0m: name 'frequency_data' is not defined" ] } ], "source": [ - "coher.to_feather(output / 'data' / 'coherence.feather')\n", - "freqs.to_feather(output / 'data' / 'freqs.feather')" + "pd.DataFrame(coherence_data).to_feather(output / 'data' / 'coherence.feather')\n", + "pd.DataFrame(frequency_data).to_feather(output / 'data' / 'freqs.feather')\n", + "pd.DataFrame(theta_kde_data).to_feather(output / 'data' / 'theta_kde.feather')\n", + "pd.DataFrame(theta_bins_data).to_feather(output / 'data' / 'theta_bins.feather')\n", + "pd.DataFrame(stim_kde_data).to_feather(output / 'data' / 'stim_kde.feather')\n", + "pd.DataFrame(stim_bins_data).to_feather(output / 'data' / 'stim_bins.feather')" ] }, { @@ -545,5 +756,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.html b/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.html index 745860af2..62f9fcd6c 100644 --- a/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.html +++ b/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.html @@ -13155,58 +13155,41 @@ div#notebook { from distutils.dir_util import copy_tree from neo import SpikeTrain import scipy - +from functools import reduce from tqdm.notebook import tqdm_notebook as tqdm tqdm.pandas() - -from spike_statistics.core import permutation_resampling - from spikewaveform.core import calculate_waveform_features_from_template, cluster_waveform_features from septum_mec.analysis.plotting import violinplot, despine + +from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table
-
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13:08:55 [I] klustakwik KlustaKwik2 version 0.2.6
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+

chose where to sample LFP

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In [3]:
-
%matplotlib inline
-plt.rc('axes', titlesize=12)
-plt.rcParams.update({
-    'font.size': 12, 
-    'figure.figsize': (6, 4), 
-    'figure.dpi': 150
-})
+
#################################################
 
-output_path = pathlib.Path("output") / "stimulus-spike-lfp-response"
-(output_path / "statistics").mkdir(exist_ok=True, parents=True)
-(output_path / "figures").mkdir(exist_ok=True, parents=True)
-output_path.mkdir(exist_ok=True)
+lfp_location = ''
+# lfp_location = '-other-tetrode'
+# lfp_location = '-other-drive'
+
+##################################################
@@ -13219,9 +13202,18 @@ div#notebook {
In [4]:
-
data_loader = dp.Data()
-actions = data_loader.actions
-project = data_loader.project
+
%matplotlib inline
+plt.rc('axes', titlesize=12)
+plt.rcParams.update({
+    'font.size': 12, 
+    'figure.figsize': (6, 4), 
+    'figure.dpi': 150
+})
+
+output_path = pathlib.Path("output") / ("stimulus-spike-lfp-response" + lfp_location)
+(output_path / "statistics").mkdir(exist_ok=True, parents=True)
+(output_path / "figures").mkdir(exist_ok=True, parents=True)
+output_path.mkdir(exist_ok=True)
@@ -13234,10 +13226,9 @@ div#notebook {
In [5]:
-
identification_action = actions['identify-neurons']
-sessions = pd.read_csv(identification_action.data_path('sessions'))
-units = pd.read_csv(identification_action.data_path('units'))
-session_units = pd.merge(sessions, units, on='action')
+
project_path = dp.project_path()
+project = expipe.get_project(project_path)
+actions = project.actions
@@ -13250,217 +13241,7 @@ div#notebook {
In [6]:
-
lfp_action = actions['stimulus-spike-lfp-response']
-lfp_results = pd.read_csv(lfp_action.data_path('results'))
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# lfp_results has old unit id's but correct on (action, unit_name, channel_group)
-lfp_results = lfp_results.drop('unit_id', axis=1)
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stim_action = actions['stimulus-response']
-stim_results = pd.read_csv(stim_action.data_path('results'))
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# lfp_results has old unit id's but correct on (action, unit_name, channel_group)
-stim_results = stim_results.drop('unit_id', axis=1)
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statistics_action = actions['calculate-statistics']
-shuffling = actions['shuffling']
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-statistics_results = pd.read_csv(statistics_action.data_path('results'))
-statistics_results = session_units.merge(statistics_results, how='left')
-quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))
-action_columns = ['action', 'channel_group', 'unit_name']
-data = pd.merge(statistics_results, quantiles_95, on=action_columns, suffixes=("", "_threshold"))
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data['unit_day'] = data.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)
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data = data.merge(lfp_results, how='left')
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data = data.merge(stim_results, how='left')
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waveform_action = actions['waveform-analysis']
-waveform_results = pd.read_csv(waveform_action.data_path('results')).drop('template', axis=1)
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data = data.merge(waveform_results, how='left')
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colors = ['#1b9e77','#d95f02','#7570b3','#e7298a']
-labels = ['Baseline I', '11 Hz', 'Baseline II', '30 Hz']
-queries = ['baseline and Hz11', 'frequency==11', 'baseline and Hz30', 'frequency==30']
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data.bs = data.bs.astype(bool)
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data.loc[data.eval('t_i_peak == t_i_peak and not bs'), 'ns_inhibited'] = True
-data.ns_inhibited.fillna(False, inplace=True)
-
-data.loc[data.eval('t_i_peak != t_i_peak and not bs'), 'ns_not_inhibited'] = True
-data.ns_not_inhibited.fillna(False, inplace=True)
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# make baseline for inhibited vs not inhibited
-data.loc[data.unit_id.isin(data.query('ns_inhibited').unit_id.values), 'ns_inhibited'] = True
-data.loc[data.unit_id.isin(data.query('ns_not_inhibited').unit_id.values), 'ns_not_inhibited'] = True
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In [20]:
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query = (
-    'gridness > gridness_threshold and '
-    'information_rate > information_rate_threshold and '
-    'gridness > .2 and '
-    'average_rate < 25'
-)
-sessions_above_threshold = data.query(query)
-print("Number of sessions above threshold", len(sessions_above_threshold))
-print("Number of animals", len(sessions_above_threshold.groupby(['entity'])))
+
data, labels, colors, queries = load_data_frames()
@@ -13479,6 +13260,8 @@ div#notebook { 
Number of sessions above threshold 194
 Number of animals 4
+Number of individual gridcells 139
+Number of gridcell recordings 230
@@ -13489,391 +13272,11 @@ Number of animals 4
-
In [21]:
+
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gridcell_sessions = data[data.unit_day.isin(sessions_above_threshold.unit_day.values)]
-print("Number of gridcells", gridcell_sessions.unit_idnum.nunique())
-print("Number of gridcell recordings", len(gridcell_sessions))
-print("Number of animals", len(gridcell_sessions.groupby(['entity'])))
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Number of gridcells 139
-Number of gridcell recordings 231
-Number of animals 4
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gridcell_sessions
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...t_i_peakp_i_peakhalf_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibited
141839-120619-4False183930.0FalseTrue4msTruestim ii...0.00870.0000550.2597570.3623900.180529False0.0NaNTrueFalse
211839-120619-4False183930.0FalseTrue4msTruestim ii...0.00080.0008800.2425240.5348272.265039True1.0NaNFalseFalse
291839-120619-4False183930.0FalseTrue4msTruestim ii...NaNNaN0.2798060.59896710.924422True1.0NaNFalseFalse
301839-120619-4False183930.0FalseTrue4msTruestim ii...0.00050.0023650.2651580.5814513.984881True1.0NaNFalseFalse
311839-120619-4False183930.0FalseTrue4msTruestim ii...NaNNaN0.2469200.5708443.497452True1.0NaNFalseFalse
..................................................................
12631833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2800330.5607294.760330True1.0NaNFalseFalse
12641833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2819340.62708915.890929True1.0NaNFalseFalse
12681833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2665120.5940332.704037True1.0NaNFalseFalse
12711833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2232610.5925539.658453True1.0NaNFalseFalse
12751833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2570980.5451885.292658True1.0NaNFalseFalse
-

231 rows × 73 columns

-
-
- -
- -
-
- -
-
-
-
In [23]:
-
-
-
data.loc[:,'gridcell'] = np.nan
-data['gridcell'] = data.isin(gridcell_sessions)
-
-data.loc[data.eval('not gridcell and bs'), 'bs_not_gridcell'] = True
-data.bs_not_gridcell.fillna(False, inplace=True)
+
lfp_action = actions['stimulus-spike-lfp-response' + lfp_location]
+lfp_results = pd.read_csv(lfp_action.data_path('results'))
@@ -13883,451 +13286,34 @@ Number of animals 4
-
In [24]:
+
In [8]:
-
data.query('baseline and Hz11 and gridcell').head()
+
# lfp_results has old unit id's but correct on (action, unit_name, channel_group)
+lfp_results = lfp_results.drop('unit_id', axis=1)
-
-
- - -
- -
Out[24]:
- - - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...half_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibitedgridcellbs_not_gridcell
331833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2728750.6026675.945508TrueNaN1.0FalseFalseTrueFalse
341833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2264520.2748142.860048FalseNaN0.0FalseTrueTrueFalse
351833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2472660.5701043.365674TrueNaN1.0FalseFalseTrueFalse
391833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2845420.64411117.471520TrueNaN1.0FalseFalseTrueFalse
401833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2599200.5816985.891739TrueNaN1.0FalseFalseTrueFalse
-

5 rows × 75 columns

-
-
- -
- -
-
-
-
In [25]:
+
In [9]:
-
density = True
-cumulative = True
-histtype = 'step'
-lw = 2
-bins = {
-    'theta_energy': np.arange(0, 2.1, .03),
-    'theta_peak': np.arange(0, 1, .03),
-    'theta_freq': np.arange(4, 12, .1),
-    'theta_half_width': np.arange(0, 5, .1)
-}
-xlabel = {
-    'theta_energy': 'Theta coherence energy',
-    'theta_peak': 'Theta peak coherence',
-    'theta_freq': '(Hz)',
-    'theta_half_width': '(Hz)',
-}
-results = {}
-for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:
-    results[cell_type] = {}
-    for key in bins:
-        results[cell_type][key] = pd.DataFrame()
-        fig = plt.figure(figsize=(3.5,2.2))
-        plt.suptitle(key + ' ' + cell_type)
-        legend_lines = []
-        for color, query, label in zip(colors, queries, labels):
-            values = data.query(query + ' and ' + cell_type)[key]
-            results[cell_type][key] = pd.concat([
-                results[cell_type][key], 
-                values.rename(label).reset_index(drop=True)], axis=1)
-            values.hist(
-                bins=bins[key], density=density, cumulative=cumulative, lw=lw, 
-                histtype=histtype, color=color)
-            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))
-        plt.xlabel(xlabel[key])
-        plt.legend(
-            handles=legend_lines,
-            bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)
-        plt.tight_layout()
-        plt.grid(False)
-        plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)
-        despine()
-        figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')
-        fig.savefig(
-            output_path / 'figures' / f'{figname}.png', 
-            bbox_inches='tight', transparent=True)
-        fig.savefig(
-            output_path / 'figures' / f'{figname}.svg', 
-            bbox_inches='tight', transparent=True)
+
data = data.merge(lfp_results, how='left')
-
-
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In [26]:
+
In [10]:
data['stim_strength'] = data.stim_p_max / data.theta_peak
@@ -14340,49 +13326,255 @@ Number of animals 4
-
In [27]:
+
In [11]:
-
density = True
-cumulative = True
-histtype = 'step'
-lw = 2
-bins = {
-    'stim_energy': np.arange(0, .4, .01),
-    'stim_half_width': np.arange(0, 1.5, .01),
-    'stim_p_max': np.arange(0, 1, .01),
-    'stim_strength': np.arange(0, 50, 1)
+
keys = [
+    'theta_energy',
+    'theta_peak',
+    'theta_freq',
+    'theta_half_width',
+    'theta_vec_len',
+    'theta_ang',
+    'stim_energy',
+    'stim_half_width',
+    'stim_p_max',
+    'stim_strength',
+    'stim_vec_len',
+    'stim_ang'
+]
+

+
+
+
+
+ +
+
+
+
In [12]:
+
+
+
results, labels = make_paired_tables(data, keys)
+
+ +
+
+
+ +
+
+
+
In [13]:
+
+
+
results['gridcell']['theta_peak']
+
+ +
+
+
+ +
+
+ + +
+ +
Out[13]:
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
entityunit_idnumchannel_groupdateBaseline I11 HzBaseline II30 Hz
51183380207190.244278NaNNaNNaN
85183313020719NaN0.0394650.2793820.054633
86183314020719NaN0.0222680.448472NaN
5818332302006190.280865NaNNaNNaN
1271833260200619NaNNaN0.1817030.038459
...........................
13918498354150319NaNNaNNaN0.692552
4318498515603190.662908NaNNaNNaN
65184993272802190.050995NaNNaNNaN
7418499377280219NaN0.131422NaNNaN
10518499397280219NaNNaN0.472020NaN
+

137 rows × 8 columns

+
+
+ +
+ +
+
+ +
+
+
+
In [14]:
+
+
+
xlabel = {
+    'theta_energy': 'Theta coherence energy',
+    'theta_peak': 'Theta peak coherence',
+    'theta_freq': '(Hz)',
+    'theta_half_width': '(Hz)',
+    'theta_vec_len': 'a.u.',
+    'theta_ang': 'rad'
 }
-xlabel = {
-    'stim_energy': 'Coherence energy',
-    'stim_half_width': '(Hz)',
-    'stim_p_max': 'Peak coherence',
-    'stim_strength': 'Ratio',
-}
-# key = 'theta_energy'
-# key = 'theta_peak'
 for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:
-    for key in bins:
-        results[cell_type][key] = pd.DataFrame()
-        fig = plt.figure(figsize=(3.2,2.2))
+    for key in xlabel:
+        fig = plt.figure(figsize=(3.7,2.2))
         plt.suptitle(key + ' ' + cell_type)
         legend_lines = []
-        for color, query, label in zip(colors[1::2], queries[1::2], labels[1::2]):
-            values = data.query(query + ' and ' + cell_type)[key]
-            results[cell_type][key] = pd.concat([
-                results[cell_type][key], 
-                values.rename(label).reset_index(drop=True)], axis=1)
-            values.hist(
-                bins=bins[key], density=density, cumulative=cumulative, lw=lw, 
-                histtype=histtype, color=color)
-            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))
+        for color, label in zip(colors, labels):
+            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))
+        sns.kdeplot(data=results[cell_type][key].loc[:,labels], cumulative=True, legend=False, palette=colors, common_norm=False)
         plt.xlabel(xlabel[key])
         plt.legend(
             handles=legend_lines,
             bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)
         plt.tight_layout()
         plt.grid(False)
-        plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)
         despine()
         figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')
         fig.savefig(
@@ -14409,7 +13601,7 @@ Number of animals 4
 
 
 

-
 

@@ -14424,7 +13616,7 @@ Number of animals 4
 
 
 

-
 

@@ -14439,7 +13631,7 @@ Number of animals 4
 
 
 

-
 

@@ -14454,7 +13646,7 @@ Number of animals 4
 
 
 

-
 

@@ -14469,7 +13661,7 @@ Number of animals 4
 
 
 

-
 

@@ -14484,7 +13676,7 @@ Number of animals 4
 
 
 

-
-
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@@ -14529,7 +13721,7 @@ Number of animals 4
 
 
 

-
-
 

@@ -14559,7 +13751,7 @@ Number of animals 4
 
 
 

-
 

@@ -14574,7 +13766,418 @@ Number of animals 4
 
 
 

-
+

+
+
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+ + + + +
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+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
In [15]:
+
+
+
xlabel = {
+    'stim_energy': 'Coherence energy',
+    'stim_half_width': '(Hz)',
+    'stim_p_max': 'Peak coherence',
+    'stim_strength': 'Ratio',
+    'stim_vec_len': 'a.u.',
+    'stim_ang': 'rad'
+}
+# key = 'theta_energy'
+# key = 'theta_peak'
+for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:
+    for key in xlabel:
+        fig = plt.figure(figsize=(3.3,2.2))
+        plt.suptitle(key + ' ' + cell_type)
+        legend_lines = []
+        for color, label in zip(colors[1::2], labels[1::2]):
+            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))
+        sns.kdeplot(data=results[cell_type][key].loc[:,labels[1::2]], cumulative=True, legend=False, palette=colors[1::2], common_norm=False)
+        plt.xlabel(xlabel[key])
+        plt.legend(
+            handles=legend_lines,
+            bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)
+        plt.tight_layout()
+        plt.grid(False)
+        despine()
+        figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')
+        fig.savefig(
+            output_path / 'figures' / f'{figname}.png', 
+            bbox_inches='tight', transparent=True)
+        fig.savefig(
+            output_path / 'figures' / f'{figname}.svg', 
+            bbox_inches='tight', transparent=True)
+
+ +
+
+
+ +
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+ + +
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+ + + + +
+
@@ -14588,50 +14191,161 @@ Number of animals 4
-

stats

+

polar plot

-
In [28]:
+
In [16]:
-
def summarize(data):
-    return "{:.2f} ± {:.2f} ({})".format(data.mean(), data.sem(), sum(~np.isnan(data)))
-
-
-def MWU(df, keys):
-    '''
-    Mann Whitney U
-    '''
-    Uvalue, pvalue = scipy.stats.mannwhitneyu(
-        df[keys[0]].dropna(), 
-        df[keys[1]].dropna(),
-        alternative='two-sided')
-
-    return "{:.2f}, {:.3f}".format(Uvalue, pvalue)
-
-
-def PRS(df, keys):
-    '''
-    Permutation ReSampling
-    '''
-    pvalue, observed_diff, diffs = permutation_resampling(
-        df[keys[0]].dropna(), 
-        df[keys[1]].dropna(), statistic=np.median)
-
-    return "{:.2f}, {:.3f}".format(observed_diff, pvalue)
-
-
-def rename(name):
-    return name.replace("_field", "-field").replace("_", " ").capitalize()
+
from septum_mec.analysis.statistics import VonMisesKDE
+
+
+
+
In [17]:
+
+
+
for paradigm in ['stim', 'theta']:
+    key = paradigm + '_vec_len'
+    for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:
+        fig = plt.figure(figsize=(3.2,2.2))
+        plt.suptitle(key + ' ' + cell_type)
+        legend_lines = []
+        for color, query, label in zip(colors, queries, labels):
+            data_query = data.query(query + ' and ' + cell_type)
+            values = data_query[key].values
+            angles = data_query[paradigm + '_ang'].values
+            kde = VonMisesKDE(angles, weights=values, kappa=5)
+            bins = np.linspace(-np.pi, np.pi, 100)
+            plt.polar(bins, kde.evaluate(bins), color=color, lw=2)
+            plt.polar(angles, values, color=color, lw=1, ls='none', marker='.', markersize=2)
+#             values.hist(
+#                 bins=bins[key], density=density, cumulative=cumulative, lw=lw, 
+#                 histtype=histtype, color=color)
+            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=2, label=label))
+        plt.legend(
+            handles=legend_lines,
+            bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)
+        plt.tight_layout()
+#         plt.grid(False)
+        figname = f'spike-lfp-polar-plot-{paradigm}-{cell_type}'.replace(' ', '-')
+        fig.savefig(
+            output_path / 'figures' / f'{figname}.png', 
+            bbox_inches='tight', transparent=True)
+        fig.savefig(
+            output_path / 'figures' / f'{figname}.svg', 
+            bbox_inches='tight', transparent=True)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+ +
+ + + + +
+ +
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+ +
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+
@@ -14639,20 +14353,8 @@ Number of animals 4 
stats = {}
-for cell_type in results:
-    stat = pd.DataFrame()
-
-    for key, df in results[cell_type].items():
-        Key = rename(key)
-        stat[Key] = df.agg(summarize)
-        stat[Key] = df.agg(summarize)
-
-        for i, c1 in enumerate(df.columns):
-            for c2 in df.columns[i+1:]:
-                stat.loc[f'MWU {c1} {c2}', Key] = MWU(df, [c1, c2])
-                stat.loc[f'PRS {c1} {c2}', Key] = PRS(df, [c1, c2])
-
-    stats[cell_type] = stat
+for cell_type, result in results.items():
+    stats[cell_type], _ = make_statistics_table(result, labels)
@@ -14687,6 +14389,22 @@ Number of animals 4
+
+
+
+
In [ ]:
+
+
+
for cell_type, cell_results in results.items():
+    for key, result in cell_results.items():
+        result.to_latex(output_path / "statistics" / f"values_{cell_type}_{key}.tex")
+        result.to_csv(output_path / "statistics" / f"values_{cell_type}_{key}.csv")
+
+ +
+
+
+
@@ -14771,6 +14489,123 @@ Number of animals 4
+
+
+
+
+

NSni vs NSi analysis

+
+
+
+
+
+
In [ ]:
+
+
+
nsi_vs_nsni = {}
+for key in keys:
+    df = pd.DataFrame()
+    dfs = [results[k][key].loc[:, ['entity', 'unit_idnum', 'Baseline I']].rename({'Baseline I': k}, axis=1) for k in ['ns_inhibited', 'ns_not_inhibited']]
+    df = pd.merge(*dfs, on=['entity', 'unit_idnum'], how='outer')
+    nsi_vs_nsni[key] = df
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
nsi_vs_nsni.keys()
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
nsi_vs_nsni['theta_energy']
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
from septum_mec.analysis.statistics import LMM
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
LMM(nsi_vs_nsni['theta_energy'], 'ns_inhibited', 'ns_not_inhibited', 'theta_energy')
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
stat, stat_vals = make_statistics_table(nsi_vs_nsni, ['ns_inhibited', 'ns_not_inhibited'], wilcoxon_test=False)
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
stat
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
stat.to_latex(output_path / "statistics" / f"statistics_nsi_vs_nsni.tex")
+stat.to_csv(output_path / "statistics" / f"statistics_nsi_vs_nsni.csv")
+
+ +
+
+
+
@@ -14784,7 +14619,7 @@ Number of animals 4
In [ ]:
-
action = project.require_action("stimulus-spike-lfp-response")
+
action = project.require_action("stimulus-spike-lfp-response" + lfp_location)
diff --git a/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.ipynb b/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.ipynb index 10169c347..7cabcabe5 100644 --- a/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.ipynb +++ b/actions/stimulus-spike-lfp-response/data/20_stimulus-spike-lfp-response.ipynb @@ -14,15 +14,7 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "13:08:55 [I] klustakwik KlustaKwik2 version 0.2.6\n" - ] - } - ], + "outputs": [], "source": [ "import os\n", "import expipe\n", @@ -47,16 +39,22 @@ "from distutils.dir_util import copy_tree\n", "from neo import SpikeTrain\n", "import scipy\n", - "\n", + "from functools import reduce\n", "from tqdm.notebook import tqdm_notebook as tqdm\n", "tqdm.pandas()\n", "\n", - "\n", - "from spike_statistics.core import permutation_resampling\n", - "\n", "from spikewaveform.core import calculate_waveform_features_from_template, cluster_waveform_features\n", "\n", - "from septum_mec.analysis.plotting import violinplot, despine" + "from septum_mec.analysis.plotting import violinplot, despine\n", + "\n", + "from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## chose where to sample LFP" ] }, { @@ -64,6 +62,21 @@ "execution_count": 3, "metadata": {}, "outputs": [], + "source": [ + "#################################################\n", + "\n", + "lfp_location = ''\n", + "# lfp_location = '-other-tetrode'\n", + "# lfp_location = '-other-drive'\n", + "\n", + "##################################################" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], "source": [ "%matplotlib inline\n", "plt.rc('axes', titlesize=12)\n", @@ -73,43 +86,41 @@ " 'figure.dpi': 150\n", "})\n", "\n", - "output_path = pathlib.Path(\"output\") / \"stimulus-spike-lfp-response\"\n", + "output_path = pathlib.Path(\"output\") / (\"stimulus-spike-lfp-response\" + lfp_location)\n", "(output_path / \"statistics\").mkdir(exist_ok=True, parents=True)\n", "(output_path / \"figures\").mkdir(exist_ok=True, parents=True)\n", "output_path.mkdir(exist_ok=True)" ] }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "data_loader = dp.Data()\n", - "actions = data_loader.actions\n", - "project = data_loader.project" - ] - }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ - "identification_action = actions['identify-neurons']\n", - "sessions = pd.read_csv(identification_action.data_path('sessions'))\n", - "units = pd.read_csv(identification_action.data_path('units'))\n", - "session_units = pd.merge(sessions, units, on='action')" + "project_path = dp.project_path()\n", + "project = expipe.get_project(project_path)\n", + "actions = project.actions" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of sessions above threshold 194\n", + "Number of animals 4\n", + "Number of individual gridcells 139\n", + "Number of gridcell recordings 230\n" + ] + } + ], "source": [ - "lfp_action = actions['stimulus-spike-lfp-response']\n", - "lfp_results = pd.read_csv(lfp_action.data_path('results'))" + "data, labels, colors, queries = load_data_frames()" ] }, { @@ -117,810 +128,282 @@ "execution_count": 7, "metadata": {}, "outputs": [], + "source": [ + "lfp_action = actions['stimulus-spike-lfp-response' + lfp_location]\n", + "lfp_results = pd.read_csv(lfp_action.data_path('results'))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], "source": [ "# lfp_results has old unit id's but correct on (action, unit_name, channel_group)\n", "lfp_results = lfp_results.drop('unit_id', axis=1)" ] }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "stim_action = actions['stimulus-response']\n", - "stim_results = pd.read_csv(stim_action.data_path('results'))" - ] - }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], - "source": [ - "# lfp_results has old unit id's but correct on (action, unit_name, channel_group)\n", - "stim_results = stim_results.drop('unit_id', axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "statistics_action = actions['calculate-statistics']\n", - "shuffling = actions['shuffling']\n", - "\n", - "statistics_results = pd.read_csv(statistics_action.data_path('results'))\n", - "statistics_results = session_units.merge(statistics_results, how='left')\n", - "quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))\n", - "action_columns = ['action', 'channel_group', 'unit_name']\n", - "data = pd.merge(statistics_results, quantiles_95, on=action_columns, suffixes=(\"\", \"_threshold\"))" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "data['unit_day'] = data.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], "source": [ "data = data.merge(lfp_results, how='left')" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "data = data.merge(stim_results, how='left')" + "data['stim_strength'] = data.stim_p_max / data.theta_peak" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "keys = [\n", + " 'theta_energy',\n", + " 'theta_peak',\n", + " 'theta_freq',\n", + " 'theta_half_width',\n", + " 'theta_vec_len',\n", + " 'theta_ang',\n", + " 'stim_energy',\n", + " 'stim_half_width',\n", + " 'stim_p_max',\n", + " 'stim_strength',\n", + " 'stim_vec_len',\n", + " 'stim_ang'\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "results, labels = make_paired_tables(data, keys)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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entityunit_idnumchannel_groupdateBaseline I11 HzBaseline II30 Hz
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" + ], + "text/plain": [ + " entity unit_idnum channel_group date Baseline I 11 Hz \\\n", + "51 1833 8 0 20719 0.244278 NaN \n", + "85 1833 13 0 20719 NaN 0.039465 \n", + "86 1833 14 0 20719 NaN 0.022268 \n", + "58 1833 23 0 200619 0.280865 NaN \n", + "127 1833 26 0 200619 NaN NaN \n", + ".. ... ... ... ... ... ... \n", + "139 1849 835 4 150319 NaN NaN \n", + "43 1849 851 5 60319 0.662908 NaN \n", + "65 1849 932 7 280219 0.050995 NaN \n", + "74 1849 937 7 280219 NaN 0.131422 \n", + "105 1849 939 7 280219 NaN NaN \n", + "\n", + " Baseline II 30 Hz \n", + "51 NaN NaN \n", + "85 0.279382 0.054633 \n", + "86 0.448472 NaN \n", + "58 NaN NaN \n", + "127 0.181703 0.038459 \n", + ".. ... ... \n", + "139 NaN 0.692552 \n", + "43 NaN NaN \n", + "65 NaN NaN \n", + "74 NaN NaN \n", + "105 0.472020 NaN \n", + "\n", + "[137 rows x 8 columns]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "results['gridcell']['theta_peak']" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, - "outputs": [], - "source": [ - "waveform_action = actions['waveform-analysis']\n", - "waveform_results = pd.read_csv(waveform_action.data_path('results')).drop('template', axis=1)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "data = data.merge(waveform_results, how='left')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "colors = ['#1b9e77','#d95f02','#7570b3','#e7298a']\n", - "labels = ['Baseline I', '11 Hz', 'Baseline II', '30 Hz']\n", - "queries = ['baseline and Hz11', 'frequency==11', 'baseline and Hz30', 'frequency==30']" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [], - "source": [ - "data.bs = data.bs.astype(bool)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "data.loc[data.eval('t_i_peak == t_i_peak and not bs'), 'ns_inhibited'] = True\n", - "data.ns_inhibited.fillna(False, inplace=True)\n", - "\n", - "data.loc[data.eval('t_i_peak != t_i_peak and not bs'), 'ns_not_inhibited'] = True\n", - "data.ns_not_inhibited.fillna(False, inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "# make baseline for inhibited vs not inhibited\n", - "data.loc[data.unit_id.isin(data.query('ns_inhibited').unit_id.values), 'ns_inhibited'] = True\n", - "data.loc[data.unit_id.isin(data.query('ns_not_inhibited').unit_id.values), 'ns_not_inhibited'] = True" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of sessions above threshold 194\n", - "Number of animals 4\n" - ] - } - ], - "source": [ - "query = (\n", - " 'gridness > gridness_threshold and '\n", - " 'information_rate > information_rate_threshold and '\n", - " 'gridness > .2 and '\n", - " 'average_rate < 25'\n", - ")\n", - "sessions_above_threshold = data.query(query)\n", - "print(\"Number of sessions above threshold\", len(sessions_above_threshold))\n", - "print(\"Number of animals\", len(sessions_above_threshold.groupby(['entity'])))" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of gridcells 139\n", - "Number of gridcell recordings 231\n", - "Number of animals 4\n" - ] - } - ], - "source": [ - "gridcell_sessions = data[data.unit_day.isin(sessions_above_threshold.unit_day.values)]\n", - "print(\"Number of gridcells\", gridcell_sessions.unit_idnum.nunique())\n", - "print(\"Number of gridcell recordings\", len(gridcell_sessions))\n", - "print(\"Number of animals\", len(gridcell_sessions.groupby(['entity'])))" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...t_i_peakp_i_peakhalf_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibited
141839-120619-4False183930.0FalseTrue4msTruestim ii...0.00870.0000550.2597570.3623900.180529False0.0NaNTrueFalse
211839-120619-4False183930.0FalseTrue4msTruestim ii...0.00080.0008800.2425240.5348272.265039True1.0NaNFalseFalse
291839-120619-4False183930.0FalseTrue4msTruestim ii...NaNNaN0.2798060.59896710.924422True1.0NaNFalseFalse
301839-120619-4False183930.0FalseTrue4msTruestim ii...0.00050.0023650.2651580.5814513.984881True1.0NaNFalseFalse
311839-120619-4False183930.0FalseTrue4msTruestim ii...NaNNaN0.2469200.5708443.497452True1.0NaNFalseFalse
..................................................................
12631833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2800330.5607294.760330True1.0NaNFalseFalse
12641833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2819340.62708915.890929True1.0NaNFalseFalse
12681833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2665120.5940332.704037True1.0NaNFalseFalse
12711833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2232610.5925539.658453True1.0NaNFalseFalse
12751833-010719-2False183311.0TrueFalse2msTruestim i...NaNNaN0.2570980.5451885.292658True1.0NaNFalseFalse
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"text/plain": [ - " action baseline entity frequency i ii session \\\n", - "14 1839-120619-4 False 1839 30.0 False True 4 \n", - "21 1839-120619-4 False 1839 30.0 False True 4 \n", - "29 1839-120619-4 False 1839 30.0 False True 4 \n", - "30 1839-120619-4 False 1839 30.0 False True 4 \n", - "31 1839-120619-4 False 1839 30.0 False True 4 \n", - "... ... ... ... ... ... ... ... \n", - "1263 1833-010719-2 False 1833 11.0 True False 2 \n", - "1264 1833-010719-2 False 1833 11.0 True False 2 \n", - "1268 1833-010719-2 False 1833 11.0 True False 2 \n", - "1271 1833-010719-2 False 1833 11.0 True False 2 \n", - "1275 1833-010719-2 False 1833 11.0 True False 2 \n", - "\n", - " stim_location stimulated tag ... t_i_peak p_i_peak half_width \\\n", - "14 ms True stim ii ... 0.0087 0.000055 0.259757 \n", - "21 ms True stim ii ... 0.0008 0.000880 0.242524 \n", - "29 ms True stim ii ... NaN NaN 0.279806 \n", - "30 ms True stim ii ... 0.0005 0.002365 0.265158 \n", - "31 ms True stim ii ... NaN NaN 0.246920 \n", - "... ... ... ... ... ... ... ... \n", - "1263 ms True stim i ... NaN NaN 0.280033 \n", - "1264 ms True stim i ... NaN NaN 0.281934 \n", - "1268 ms True stim i ... NaN NaN 0.266512 \n", - "1271 ms True stim i ... NaN NaN 0.223261 \n", - "1275 ms True stim i ... NaN NaN 0.257098 \n", - "\n", - " peak_to_trough average_firing_rate bs bs_stim bs_ctrl \\\n", - "14 0.362390 0.180529 False 0.0 NaN \n", - "21 0.534827 2.265039 True 1.0 NaN \n", - "29 0.598967 10.924422 True 1.0 NaN \n", - "30 0.581451 3.984881 True 1.0 NaN \n", - "31 0.570844 3.497452 True 1.0 NaN \n", - "... ... ... ... ... ... \n", - "1263 0.560729 4.760330 True 1.0 NaN \n", - "1264 0.627089 15.890929 True 1.0 NaN \n", - "1268 0.594033 2.704037 True 1.0 NaN \n", - "1271 0.592553 9.658453 True 1.0 NaN \n", - "1275 0.545188 5.292658 True 1.0 NaN \n", - "\n", - " ns_inhibited ns_not_inhibited \n", - "14 True False \n", - "21 False False \n", - "29 False False \n", - "30 False False \n", - "31 False False \n", - "... ... ... \n", - "1263 False False \n", - "1264 False False \n", - "1268 False False \n", - "1271 False False \n", - "1275 False False \n", - "\n", - "[231 rows x 73 columns]" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "gridcell_sessions" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "data.loc[:,'gridcell'] = np.nan\n", - "data['gridcell'] = data.isin(gridcell_sessions)\n", - "\n", - "data.loc[data.eval('not gridcell and bs'), 'bs_not_gridcell'] = True\n", - "data.bs_not_gridcell.fillna(False, inplace=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...half_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibitedgridcellbs_not_gridcell
331833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2728750.6026675.945508TrueNaN1.0FalseFalseTrueFalse
341833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2264520.2748142.860048FalseNaN0.0FalseTrueTrueFalse
351833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2472660.5701043.365674TrueNaN1.0FalseFalseTrueFalse
391833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2845420.64411117.471520TrueNaN1.0FalseFalseTrueFalse
401833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2599200.5816985.891739TrueNaN1.0FalseFalseTrueFalse
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" - ], - "text/plain": [ - " action baseline entity frequency i ii session \\\n", - "33 1833-260619-1 True 1833 NaN True False 1 \n", - "34 1833-260619-1 True 1833 NaN True False 1 \n", - "35 1833-260619-1 True 1833 NaN True False 1 \n", - "39 1833-260619-1 True 1833 NaN True False 1 \n", - "40 1833-260619-1 True 1833 NaN True False 1 \n", - "\n", - " stim_location stimulated tag ... half_width peak_to_trough \\\n", - "33 NaN False baseline i ... 0.272875 0.602667 \n", - "34 NaN False baseline i ... 0.226452 0.274814 \n", - "35 NaN False baseline i ... 0.247266 0.570104 \n", - "39 NaN False baseline i ... 0.284542 0.644111 \n", - "40 NaN False baseline i ... 0.259920 0.581698 \n", - "\n", - " average_firing_rate bs bs_stim bs_ctrl ns_inhibited \\\n", - "33 5.945508 True NaN 1.0 False \n", - "34 2.860048 False NaN 0.0 False \n", - "35 3.365674 True NaN 1.0 False \n", - "39 17.471520 True NaN 1.0 False \n", - "40 5.891739 True NaN 1.0 False \n", - "\n", - " ns_not_inhibited gridcell bs_not_gridcell \n", - "33 False True False \n", - "34 True True False \n", - "35 False True False \n", - "39 False True False \n", - "40 False True False \n", - "\n", - "[5 rows x 75 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "data.query('baseline and Hz11 and gridcell').head()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "image/png": 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IUuMQ4BgigD9APBJYEvgV7aOMlctfZx2fjgfR8v3XxN/jViJYTyFmdysojVf+BSLIQ1TjX5vSuJL2YH0vsEt2Frc0e9c2xMQhEKX0C4gW45OJrpBDiOt9vLtXtdZHeoaaBmwz+4aZtZlZpyZpMLMRZna2mb1oZrPN7H9mdn2aDECScePG8etf/5r111+flpYWBg8eTP/+/Zkxo7q9OsaNG8fkyZM58cQT2XTTTRk5ciQDBgxg6NChrLnmmhx66KFMnjyZz3/+8wX332KLLTjttNMYN24cQ4YMoaWlhVmz2r9bv/nNb3LJJZew5ZZbMnLkSPr378+QIUNYfvnl2W677bjwwgu58MIL2WGHHebvM3ny5EKH6pLm5maOO+44brzxRvbcc09WXnllWlpaGDBgAEsvvTTbbrstF154Ieeeey6DBxcbXrvrunq9O2LixIlce+217Lrrriy77LIMHDgQonbjJqLa/XTaa+TKTZQxmfb+/ndWo6Tn7lcR01n+ihghbibR4O8vwM7ufijttS+VTOTRmTy0ufvRRMOvK4lZ5WYRg7H8hih55w96kp/G60TDtYlELcE7xI3Q+8S57EOM9b/QqG3uPsXdv0CU0q8GXiWuw0yiMd5vgPXd/eSunqv0TE1tbVWvPQLAzDYkBslfBDjI3X/bwf2XJu6gVyFa7j5DNGBZmriLPNjdL+5iHp8aO3bsGrfddltXkhHpreb3OTazJWgf8KPQxBVkth1H+3Pnr7n7lbXL4gLH/Yj4vrmlFzzmEllITUrYZjaeaOm6SBeSuYoI1ncCY9x9A6Iq8liiQcsF6YtBRDrp5ptv5vDDD+fMM8/k449LDoK3Zeb3cl2Fco8+3qe9dXWnmNkXzOxGMzvTCswRndluA9q/b9SVSXqlqjY6S10SjiWmkWsus3mpdMYDmxNVW3u5+1SYP8b0aWa2FvFM63iKd6MQkTIGDx7MHXdEL7IllliCAw44YKFtUt/en6aXs4CiVVJmti5wcHp5SXr22hVTae+eNIgCM6OlBopnZ94q2m9dpJFVLWCb2ViiQcRyRJX1CcBBtA9L2BET0/KmNHtNvguIQP0lMxvi7hqCrw979913ee+9SobCLm3cuL5XYfO5z32OUaNG8fbbb3PmmWfy7LPPstVWW7Hkkkuyxx57bEO0Sv4W7ROuHO8xD/t8ZnY80fJ5INGQahHiGXalk1QU5e6PmNnDxBSbh6UuXFcQz2+HAmuk/OXmmT6vyr0jRHqMapawxxD/1A8Ch7n7w2Z2UCfT2iQt7y+y/l/E/LtDiW42nel/Kr3ElVdeyXnnnVd+wzLcvQq5aSxDhgzhvPPO45BDDuHdd9/lhhtu4IYb5g/ClR3AZR7wYwoH4UWIVvxZ36nikKp7EA3ZVgO+lH4K+TXF55kWaXjVDNivAzu6e6n5lstKIwDlRmx6odA2aaKBN4jS+2o0UMBua22j7YOeWyHQ1trKvGlTa5N2WysfzqmshrStrY2ZM+aV3xD44O1KJmkq75XHn6pKOo1mUfpx4Rlnc/tf/syDD/+bV15/jWnTpzNv3rwpwBtE6+WL3b3YBfon0cd+ONHY7GR3v65a+XP3F81sHaLmbTdifugliD7PbxI39pe4+4PVOqZIT1S1gO3uz9PeD7IrhtOer1KzPU0hAnatBvyvibYPZvDOZufXOxsNodJhzA5iUQ5q7lTPwQV9rUv3mg1tEDCBgUzgs/PfG+VHVfS/5e43UGJs7GpII4X9Jv2I9Ek9caSzlszvpYpjuWJqS4ltgOi+VWTVQsMwioiI9EQ9MWBXVg/arjYdyUVEaszMViQGYCmkjWgl/yrxDP9sd+/QHPM9gZlNJEa/e8Pdx2Tev4foDfQzdz+hPrkrzcwmAfsB97r7+PrmpmcG7OwoRaWGkRqSltPLJejuaxZ6P5W816g8ayIiNfMk8GHmdX/iEeFaxChqB5nZlu7+n3pkTuqvpwbsWcRjtVITveeer1WnxVER1W4k1jp14bRG3nIA/YYPKbB1YXM/nsIr3y94D1ITY46/j5lNi/KL857otmMWstc+KzF4SE/8yIpUxbfd/Z78N81sBDGByo7AtWY2LjvOeAPbl3ik2fU+mX1Ej/v2c/dWM3OiJeiKhbYxswG0z5ZUcEL7aumORmKt/adD/8r//9oGfELbgGk1zNGCPllycWY2LcqMgfX9uIxea3WGDavFjJoiPZe7TzGz/YgW+6sRk4D8qb656jp3f7XeeWg0PS5gJ/8kAvYmxJSC+TYi8j6T9plvGtYr31+zWwJwG03MbOr4aLFfvfpcZvVblC/y6RrkSkTKSUH7SWIAmbXoBQFbOq6nBuyriVHSvmJmR7v7+3nrD0nLqzTKWVjh5CdpHla6F84n0+Zw8umPdDjtrYt01rt1tYeZ1X/OAu/dsMMhDB9UefX+YoOG0K+psiHtW1oGVpyuSC+Um41soUHfzaw/MV/8HsTodCOIwaXeJEagPMvdF6qNNLNtgUOJGciGE8/QnyS+g3/r7rML7LMo8B1iPvaxxJwULxJDwp5daKaxQgo1Oss0wvsfsAxwADHUba6t0ZPAhcCkQvO/VytvPVVdA3YazL8FmJ5XPXIXMVPXpsCNZra7u/8vDaryPWBvYkq607o7zz1V87CR9F90yZLb9O9X3WmCZ/Wfw6z+cxd4b/SIxRgxeFhVjyONa8wlxzYTg5z0Bu+/vv+pHe3FUhVmtgpRsm4lr3RtZkOI8d23SG+9DPyHmNlw1fQzwcw+lx221cwOB36ZXr4JPEa0Ddo8/exuZlu5+7zMPqsTLdZXJHr0vEB0sV0TOBHYz8y2c/f/dvGUm4jn9vsQ06g+SwyotXH6MWLeiux16K681U29S9h/ID4Y9wLjc2+6e5uZ7Zve/xzwSqoOGg2MIro77O/uz3R7jineSKyzjcHa+pdt6N5hra1tTJ++4M3xtGkL3SyL1MyYS47dHTgPWKreeamSd8Zccuxhr+9/6jXdcTAzawYWBz4LnEmUFn/m7q/kbXoMEazfA3Zw94cyaWxIzGm+DPB9YPf0/uK0F3gWmALVzLYhZlkbn7a/Mr0/FLiFCIg3Ad/KDT9rZqOA3xIN4242s3W7WPu5FLAXUVo+393npcmlLiLmkTjSzH6e6+bWzXmrm3oH7KLScITrEzNy7UxMXj+duLs83d3vrlfe+g0fQr8lFh6vpV//aQs9i66kqroamoct2KB++vTZ/PgHd9b0mPfs+l1ahi1YTT18UNlxbKTvuAhYrN6ZqKKliHOqVcC+28xKrT8N+EGB97ciSt4/ygZrAHd/yMx+TYwDv3ZmlRHdZqcSUxln9/mzmZ1CtCPK3uUfSFQzPwLsli15u/vbZrY78AxRop9IjO3eFb9y93Myx5hpZv9H1LD2J9oy5WaO6+681UVNA7a7r1hm/fgy698Djkg/DamSqup6KvQcupR7dv0uwwcPBeKZcr9+TbXKmkhfk98Pu5mYWGUs0c31u8BQM/u/vIC0Weo5U2wQqVwVXvZu+iXiGfdwYJKZneXu8+cRd/efFEhn17S8Mnv8zD4zzOxaYgKWneh6ULylwDGmmNm7xM3T4nXMW1302BK2dI9Cz6FLaRk2kGGD1bVKKnIQvaxKHDishukX64c9kCgVnpeO30xMKTpfmhBpuJltTHT9Wjkt1yeeZUNUqee2f8fMTiNqMPcF9jWzt4n2Q38Gbi8wtfFaaXmQme1CYaPScvUi6zvijSLv56qzs/Gru/NWFwrYDa7Qs2ro3PPqu3f9LksMLl2lrSpvqdTr+596zZhLjr0eNTrrktRS+0IzWwY4CTjYzE5x99cAzGwRovHYBNpbkkNUZz9CdH3drkC6J6S5xg8DPk8EtL3Tz1wzu5KYKjlX6s893sg1ZCtl8TLrK1HuSyxbvdfdeasLBewG15Fn1YWqv2c1t5eulxjcohbeUlUpwDXc+Nc91E1EwG4mSs6vZd7fgih5ngs8CDwFPJdK3gdRIGBD+0xrqTvU5kRDsx2IUugEIhDunDafll7v5O63Vvncuqon561qFLA7qa21lXmfTFngvXmf9OwR9jpa/S0iPUp2OMQmgFQFnuvOtWORxrhj8t9IXcFWBZrc/XF3/4h4ZnwL0QL7WOAUYCczWyyVsp1o6LUmUDAomtmqROB8pZsnKunJeasaBexOmvfJFF48fFT5DWsgWw3e2a5ahaq/Vd0t0qPtmJZtwMPp95Uy6x8mj5m1EAOqwILf9wcDvwCeNLN1CgxCcicRsCFK9BDBfCPgQDM7J79rVBq85SZgHNFld78Kz6saenLeqqayIaakR8lVg//4B3fy81Pv7VQauerv7E+lI46JSPcxsyYz+zLRQAzgWnd/Pf2eHQTkxNRaPLffGsRAIrlnutk78quJZ8RrAWenfsy5/UYCP0sv/5kZafJ84C2i1frNaeCr3D5LpjTHpXTP7OTpdlZPzlvVqITdCxXrqpV9Xi0iPc65ZvZh3nsDiMFAci3tH6Z9aGbc/VEzu5oYkvRIYKKZvUQMTZorfd8JbA0sYmaLuvtH7v6WmR0AXEYMTvJ1M3uBiAmrEH203wO+njnWVDPbmSjNbgW8ZGZPE1X1RnQ9m0sMxNKtU4D25LxVkwJ2AdkpNQtNh9nTZZ9VF2v5repvkR5nrQLvzSQa7d0KXAdc5u75d957AX8hutGNBdZN+9wC/MbdbzOzV4DliT7IlwO4++Vm9jrRSnxjYrzuWcBz6Xhn5Xftcvd/m9lawOFEY7RcH/G3gHuAn7t7Xebh7cl5q5amtrZife17PzN7auzYsWvcdtttC7zf+v70klNqLnX/obT2n7bQM+xCo5o1DxtBU7/qVjV/9PEMfnriXUXXX7fGg/MD9uNfO0Etv6WzNCqOSA+iEnYnzP14Cm0DPlno/e4a1ezDWQuX+rPV4Kr6FhHpfRSwO6G75q/uiGLV4Kr6FhHpHRSwG0RrWytTZ8WQwFMLlLCzNACKiEjvo4BdoZG3HEBr/+lRuq7BdJjlvD9jGp+5PGbDGzR3AF/k092eBxERqR8F7Ar1Gz4E+rfWrSp8xvQ57Pb0xkXX37DDIYweEcPpqhpcRKT3UcDuomzL8Pw5qbuqI9XgwwcNUTW4iEgvpoDdRbVsGT511nTWveKnAAya25/dKF7CFhGR3k1jUfYSiw0aUu8siIhIDamE3cNkq8Hfn1m6cdvXj9iQ0UvE1K4tLQNrnjcREakfBeweJlsNXk5LywCGDRtU4xyJiEhPoIDdw7S1tjFo7sJ/lkFzByz0nqrBRUT6DgXsHqZc960sTYcpItJ36BtfRESkAaiE3UO0trYxffpspk9beB5rERERBeweYvr02fz4B3fWOxsiItJDKWA3gGz3rSx15RIR6TsUsCtUbA7s7qDuWyIiooBdoVrMgZ17bg0wbdrsqqYtIo3LzL4BXAAc5O6/7cB+hwLnAfu7+6QOHrM/kGtEs4+7X1Zm+wOBi4B57q5Y0g10keuo3HPrW1d7mFn953B0y+bdmCsRqScz2xA4oxP7fQY4rfo5kp5C3bp6sFn95zCr/1ya+jXVOysi0g3MbDxwB7BIB/f7QtpvaA2yJT2EStgiInVmZoOBY4ETgOYO7DcE+H76UQGsl1PA7oRazoEtIn2LmY0F/gosB8wjgvZBwApl9jPgL8AYYC5wPHAYMLqW+ZX6UcDuhFrOgZ17bg0wq3luTY4hIj3KGCJYPwgc5u4Pm9lBFey3XNr372m/R83ssBrms6y8hmvl/M7dD6xlfnobBew6am1rXei93HNrkd7g2YnNzcAS9c5Hlby/2qR582qQ7uvAju5+ewf3exXY3t3/VIM8dVYb8ECJ9SMBS7+/Uvvs9C4K2N0g230r662pH9UhNyLd49mJzbsTXYyWqndequSdZyc2H7bapHnXVDNRd38eeL4T+z0LPFvNvHSVu88DNiu0zswWAe5PL/8MnNxd+eotFLC7QWeHHf3rrkcwYvBQhg9qqUGuRGruImCxemeiipYizqmqAbuHutTMLq1WYqmq/BpgHeAZYI8U3KUDFLB7sBGDhzJi8LB6Z0NE+p5ngXfLbLM0MLbC9M4HtgWmAF909w+7kLc+SwG7RjSKmQgH0cuqxIlW2H3BTzow0iSbJQkAACAASURBVFlJZnYMcDAwG/iyu79YnSz2PQrYNdLZavAbdjiE0SOiFlFV4dLIVps075pnJzZfjxqd9VlmtjtwSnr5DXe/r575aXQK2HVy5LGbM7t5DuNvOGuB948evrmqwaXXSAGuXNWq9EJmtgnwB6AJOK2jY5vLwhSw62To0IH079+0UBcuDUMqIo3OzFYBbgYGAzcCx9U3R72DhrITEZGqMbMlgNuJPtePARPcva2+ueodVMLuRkceuzlDhw4EoKVlILNmVzogkIhIz2dmg4gS9WrAy8AO7l7deYn7MAXsbjR06ECGDRtU72yIiNTKd4DPpd/fAy4ys6HAgALbznX38d2Vsd5AAbuK1JVLRPq4RTO/b1BmW7W47yAF7CrqbFcuEZEsd1+xk/uN6cIx5xItuivd/rfAb/PeO4GYbUxqQI3OREREGoACtoiISANQlXgXdfS5dWtbK1NnTQfg/ZnTa5o3ERHpPRSwu6jcc+v8rlxTZ01j3St+2l3ZExGRXkIBu8bUlUtERKpBz7ALaGttrXcWREREFqCAXcC8aVPrnQUREZEFqEq8BvKfW5dz967fZYnBMZWmptQUEZFCFLBroKPPrZcY3KIpNUVEpCRViYuIiDQAlbArNOb4+xgwZjQAzcNG1Dk3IiLS1yhgV6h56Aj6L7pkp/bVYCkiItJVCtidlBvhbNon5Uc3mzprugZLERGRLlHA7iTNzCUiIt1JAbtGVA0uIiLVpIBdI6oGFxGRalLArhMNliIiZrYi8FKR1W3AVOBVYDJwtru/201ZqxozmwhcArzh7mMy798DbA78zN1PqE/uSjOzScB+wL3uPr7SdbWigF1FRx6zOUOHDaSlZSCzZs8pua0GSxGRPE8CH2Ze9weGA2sB6wEHmdmW7v6femRO6k8Bu4qGDtPMXCLSad9293vy3zSzEcDvgR2Ba81snLv3hhmK9gVagPfqnZFGoYDdjVQNLiId5e5TzGw/4A1gNWAb4E/1zVXXufur9c5Do9HQpFXU2tbKlJmfMGXmJwVbhueqwUcMHka/Jl16EamMu08hqswhqsilD1IJu4o+nDWDTa49vd7ZEJHeaUBafpy/wsz6A18D9gA+BYwA5gJvAn8FznL3Zwvsty1wKLAx8bz8Q+LG4Grgt+6+0MhQZrYo8B3gy8BYouD3InA90TDug0pOplCjs0wjvP8BywAHAAcDa6TdngQuBCa5e1ut8tZTKWCLSM0cfcStzcAS9c5Hlbx/+tlfnFePA5vZKkTJupW86nAzGwLcBmyR3noZ+A+wNLBq+plgZp9z90cz+x0O/DK9fBN4DBhJBNHNgd3NbCt3n5fZZ3WixfqKwDzgBWAGsCZwIrCfmW3n7v/t4ik3Ec/t9wE+AJ4FViZuLDYGDDg27zp0V97qRvWyIlITRx9x6+5EIHinl/y8mc6pW5hZs5mNMLOdgNuJ7+tT3P2VvE2PIYL1e8BG7r6Su2/o7ssDGwFvAUOB72fSXhw4Lb38mruPTvusBGxLBLrxwO6ZfYYCtxAB8SZgeXc3d18PWI64aVgBuDndRHTFUsBeRGl5pLt/mihxX5bWH2lm8yd36Oa81Y0CtojUykXEF29vsRRxTrVyt5m15X6IKu33gJuJxmanAT8osN9WRMn7R+7+UHZFev3r9HLtzCoDBhP9vK/K2+fPwCnAtUC2SvxAopr5EWA3d38zs8/bRHB/hSjRT6z4rIv7lbufkyvhu/tM4P+I/un9iZuReuWtLhSwa+zuXb/L4187gce/doJahotIKU8CD2R+HgSeAmal9d8FzjGz5uxO7r4ZEXwvKJJurgVs9gvoJeKGYDgwyczWzUvzJ+6+u7tfn3l717S8MltNntlnBhHkAXYqdpIdcEuBY0wBcoPHLF7HvNWFnmF3QG6GLoBp08rP0gUaIEX6tIOA8+g9pex3gMNqmH6xftgDiVLheen4zcC3stu4+xwzG25mGxOl8ZXTcn3iWTZkCmju/o6ZnQYcT/SH3tfM3gbuAv4M3O7u+f2jc63TDzKzXYqcw6i0XL3s2Zb3RpH3Z6RlNn51d97qQgG7AzRDl0jlTj/7i9ccfcSt16NGZ12SWmpfaGbLACcBB5vZKe7+GoCZLUI0HptAe0tyiOrsR4BHge0KpHuCmT1M3AR8nghoe6efuWZ2JXCYu+dGX1ssLXMN2UpZvMz6SpQrFTVlfu/uvNWFAraI1EwKcA03/nUPdRMRsJuJkvNrmfe3IEqe59Jelf5cKnkfRIGADeDuNwA3pO5QmxMNzXYgSqETiEC4c9p8Wnq9k7vfWuVz66qenLeqUcCuoqmzZpTfSESkc7LDkTYBpCrwXHeuHd397gL7jcl/I7WUXhVocvfH3f0j4pnxLUQL7GOJhmc7mdliqZTtREOvNYGCQdHMViUC5yvdPFFJT85b1ajRWRXtevuvy28kItI5O6ZlG/Bw+n2lzPqHyWNmLcSAKrBgAe1g4HHgMjNryt8PyD77yzVyyzUCO7BQ16g0eMtNwEPAmcVPoyZ6ct6qRgG7i75+xIZct8aDXLfGg8xqnlvv7IhIL2NmTWb2ZaKBGMC17v56+j07CMiJZjYgs98axEAiuWe62VbiVxPPiNcCzk79mHP7jQR+ll7+093fT7+fT/TpHkv0Z14+s8+SKc1xKd3uDoo9OW9VoyrxLmppGcCs/grUItJl55rZh3nvDSAGA8m1tH8YOCS30t0fNbOriSFJjwQmmtlLxNCkudL3ncDWwCJmtqi7f+Tub5nZAcRAJN8Bvm5mLxAxYRWim9h7wNczx5pqZjsTpdmtgJfM7Gmiqt6AQURXsa919xSgPTlv1aQStohIz7AWsGnezzpEP+xbgf2BjVNf5Ky9iCruh4jv9HWJAHUL8EV33wbIzYw1vw+yu19ONDK7lhj+cw1iNLDniOfX49z9qeyB3P3fKZ8/Bp4gbibGEWN//wH4dF7f7W7Tk/NWLU1tbQuNn95nmNlTY8eOXeO2225b4P3Zr7zG+9tfucB7S0zek9kjllqoW9e3j/8sm9yy4IQf+dNoamYuaVCFnm2KSJ1UrUo8NW44GtiTqIr5mKi++YW7T+5EeisSo/GU8ngaK7ZH0WApIiJSbVUJ2KnBwl3AZ4A5xBB7I4iJ1rcxs5Pc/UcdTDY3VN77wDNFtnmuE9kVERFpONUqYZ9PBOvHgJ0zI/DsA1wMnGRmD7j7XzqQZi5gX+3uh5TcUkREpJfr8sPVNE/rBKI13t65YA3g7pcCp6aXJ3Uw6VzAbtgWfSIiItVSjdZQ+xAd6//h7k8XWJ+bQWbTbN+4CuQC9pNdyZyIiEhvUI2AvUla3l9opbu/QcxDCjFWbVlmNoyYbQZ6eAn7/VnTy28kIiLSRdV4hj02LV8osc3LRP++1SpMcx2iS8mbwJJm9j1isPv+wLPAFe7+QKdyW2Vfvv0CDT8jIiI1V41QkxuBp9Rg6rmO/iMrTDNXHT4ceJr2sWwhRuw51MwuBr7p7nPKJWZmTxVZtUqF+REREamralSJ58annVlim9w0Vi0ltsnKBezBwEXEDCyDiFL6CUTXsQOIOWC7TWtba/mNREREaqAaJex5VB74Kx1W7W8pzUfdPTsF1qvAz8zsZWIM3G+a2fn5w+flc/c1C72fSt5rVJgnPtT0mSIiUifVCNifEFXXg0tsk5vurKIWWmmM28tLrTezHxKz0OxCTNZed3/d9QhGDB7K8EGVViSIiIhUphpV4u+l5YgS2+SeXb9ThePlPJqWK5XcqhuNGDyUEYOHaexwERGpumpEltywoSuW2Ca37tlKEzWzAWbWXGKTXN7LNjoTERFpdNWoEv8nsDPt/bEXYGZjgNyAKX8vl5iZDSe6iA0HdgOKTYe2floWGqyl6qZNn8P0poXvDW7Y4RBGj1gMQFXhIiJSM9UoYV+TluPNzAqs/2Za3uvuL5dLzN2nAm+nlxMLbWNmXyG6ZM2meECvql+c9wS/O/uhhd4fPmgIIwYPU1W4iIjUVJcjjLs/B/yR6Ct9vZnlBlLBzCYAx6SXP83f18xWMbPVzWyZvFWnpOVOZnaKmQ3K7PMV4JL08nR3f7Or5yAiItLTVWuMrsOBtdPPf83sP0SV9gpp/fFFZuq6K23zezKlaXe/1MzWAb4HHEsMlPIcsDQwOm32W+CHVcq/iIhIj1aVgO3uU8xsE+AoYA9gHNEY7F7gHHfvcLW1ux9lZncAhxHPx9ch5sa+FbjA3W+rRt5FROrNzFYlCidbA6OI77oHgfPd/c4S+40gBpPaBRgDTAUeIGofH+xgHsYDd6eXK5V7hGlmk4D9iMed4ztyLOmcqo2C7e7TiCk0T+rAPiuWWf8XoCNzaHeLW1d7mFn9owHa0S0VzWciIlKQmW0L3ECMVzGdaEi7JBGEdzGzM939qAL7LU0E51XSfk8QQXtXYGczO9jdL+6es5DuoFZSnTCr/xxm9Z/LrP5zaerXVO/siEiDMrORwBVEsL4SWNbd13P30cDexEiS3zOz3QrsfhURrO8Exrj7BsCyREm9GbjAzMZ1w2lIN1HAFhGpnwOJ9j4vAxPd/cPcCnf/IzGXArT3tgHmV19vTow0uVfqXYO7t7r7acTQzQOA42ucf+lGCtgiIvXzElHC/pW7zyqw/om0XCHv/YlpeZO7v8fCLkjLL5nZkALrpQFpJmcRkTpx96uIqu1iNkjL5/Lezw1UdX+R/f4FzAWGpjT+1tk8dkRew7Vy9nf3SbXLTe+jgC0iNfP2Gmc0A0vUOx9V8v6op4+a1x0HMrPFge8A+xOB97TMun7AyunlC4X2d/c5ZvYGUTJfjW4K2MCHREO4YlYGcuNuvFr77PQuCtgiUhNvr3HG7sB5wFL1zkuVvPP2GmccNurpo64pv2nnpMZlPwLGAoOA14BD3P2+zGbDaf/ufrdEclOIgD2yxDZV5e6PApsVWmdma9A+PPWP3f2v3ZWv3kIBW0Rq5SJgsXpnooqWIs6pZgEb2AhYM/N6OPBFM7vP3T9O72UnLZhZIq0ZBbav1EuFR5runNQF7Xbi83A1Hej+K+0UsEVEeo5zgR8DiwLbAGcQLcQ3MLNN3H0u0dWrI9o6kY9/A4UawWWtSgW1J2bWAtxClPb/Bezn7p3JU5+ngC0itXIQvaxKnBh5sWbc/fX06zTg92b2IPAY0XBsAjCJ6MqVM7hEcrnW4dM7kZXdOzDSWalt+hFzTWxIVO/v4u6lagWkBAVsEamJUU8fdc3ba5xxPWp01mnu7mZ2PbAXMJ72gD2LeMY9osTuuWfX79Qwi+WcRYzYNg3Y2d3fLrO9lKCALSI1kwJcqYZRfZqZLQGsBLxSpD81wCtpOQpicBQzc2J+hRWLpDuAGPUM4NmqZbgDzOzbREv3VmBvd3+sHvnoTTRwiohI/TxEPC8+oMQ2uUFT3si898+03ITCNiIKZDOBR7uSwc4ws52AX6SXx7r7Td2dh95IAVtEpH7+nJYHplLxAsxsRWIyD4iGWzlXp+VXUik93yFpeZW7zyiwvmbM7NPE6G39gEvc/YzuPH5vpoAtIlI/ZxDdr1YF/pgmAwHAzNYH7iAaj90HZEupdxEDlCwG3Ji6TWFm/czsaGLikDlkBlzpDma2PHFjMZTI+ze68/i9nZ5hi4jUibu/aGZ7EMOTfgXYKT2fHkyMUAYxL/Zu2a5Q7t5mZvsC9wKfA14xsyeB0cSz7jZi6M9nuu9sgOgVkBvJrAm4OXXrai6w7aPu/u1uy1kvoIAtIlJH7n6rma0LHEX0vR5HdMW6n5h162J3n1NgvxdTKfx4YGdg7bTfn4DT3b3SMb2radHM79uU2XZuLTPSGylgi4jUmbs/Tyeqj1PL8iPST1fzcA9RKq50+4m0zxqWe298V/MhxekZtoiISANQCbuA1tbSo+bdsMMhjB4RQyQPH9SZYXpFREQ6RgG7gBkzSz9aGT5oCCMGD+um3IiIiKhKXEREpCEoYIuIiDQABWwREZEGoGfYFfr78v/ixSXi/ubols3rnBsREelrFLArNKd5NrP6x+Vq6ldxV0UREZGqUJW4iIhIA1AJO2lrbaPtg5jUpu3DWXXOjYiIyIIUsJO2D2bwzmbn1zsbIiIiBalKPGlrba13FkRERIpSwE7mTZta7yyIiIgUpYAtIiLSAPQMu4RJm67MjIEx7/pHg9+uc25ERKQvU8AuYcbAZmYMjEvUpq7XIiJSR6oSr9DHA4bUOwsiItKHKWBXSCVsERGpJwVsERGRBqCALSIi0gAUsEVERBqAAraIiEgDULeuCt2wwyGMHrEYAMMHtdQ5NyIi0tcoYFdo+KAhjBg8rN7ZEBGRPkpV4iIiIg1AAVtERKQBKGCLiIg0AAVsERGRBqCALSIi0gAUsEVERBqAAraIiEgDUMAWERFpAArYIiIiDUABW0REpAEoYIuIiDQABWwREZEGoIAtIiLSABSwRUREGoACtoiISANQwBYREWkACtgiIiINQAFbRESkAShgi4iINAAFbBERkQaggC0iItIAFLBFREQagAK2iIhIA1DAFhERaQAK2CIiIg1AAVtERKQBKGAnbW2t9c6CiIhIUQrYyYdzZtY7CyIiIkUpYIuIiDQABWwREZEGoICdtLW11TsLIiIiRSlgJzNnzCu5frFBQ7opJyIiIgtTwK5QvyZdKhERqR9FIRERkQaggC0iItIA+tc7Az3ZXvusxOi1VgegpWVgnXMjIiJ9mQJ2CYOH9GfYsEH1zoaIiIiqxEVERBpB1UrYZtYCHA3sCawEfAw8DPzC3Sd3Ms3lgROB7YClgHeBu4BT3P2ZauRbRESkEVSlhG1mQ4G/Aj8EVgaeAqYB2wC3m9kPO5GmAY8AXweGAY8Dg4F9gEfMbNtq5F1ERKQRVKtK/HzgM8BjwCru/il3XwHYF5gLnGRmW1WamJn1B24FRgCXAsu4+4bAMsB5ROC+0sxGVCn/IiIiPVqXA7aZrQJMAFqBvd39tdw6d78UODW9PKkDyU4AxgKvAge6+4yU3mzgcOBvwOLAEV3Nv4iISCOoRgl7H6AZ+Ie7P11g/QVpuWl6Jl2JiWl5aQrS87l7G/Cb9PJrHcyriIhIQ6pGwN4kLe8vtNLd3wBeSS83L5eYmfUDNiqVJvBAWq5sZstVmE8REZGGVY2APTYtXyixzctpuVoF6Y0GcjNtFEvzNSA3W0claYqIiDS0agTspdLy3RLbTEnLkR1Ir2ia7j4P+LADaYqIiDS0avTDbknLmSW2mZG3bSXpVS1NM3uqyKrVX331VXbccUfmzJxF07yPF1jZ9t07GDBYI51J3/T888/f7O471zsfIhKqEbDnUXlJva3C9DqikjSLaZ09e/a0559//rXMe6uk5Qu8/kEXkhZpOO2ffRHpcaoRsD8BhhN9o4vJPZOeXmF6OYMpXsquOE13X7OC4wLtpfGO7CPSG+izL9KzVeMZ9ntpWWoQk9xz5nc6kF7RNNPAKot1IE0REZGGVo2AnRvTe8US2+TWPVsuMXd/k/YGZcXSXI7o+11RmiIiIo2uGgH7n2m5SaGVZjYGyA2Y8vcK0/xXqTSBz6blKynAi4iI9GrVCNjXpOX4NGFHvm+m5b3u/nKFaV6dlvub2cASaU6qMD0REZGG1uWA7e7PAX8kqqivN7PcQCqY2QTgmPTyp/n7mtkqZra6mS2Tt+oyoqXqysAfzWyRtP1AMzsH2IyoNj+3q/kXERFpBE1tbV3pFRXSrFl3A2sT3bL+Q7QcXyFtcry7n1xgv5fTNr9394l56zYE7iQal30C/JcI4EsAs4Ht3P3uLmdeRESkAVRlek13n0I8b/4R0QhsHNHC+15gt0LBuoI0HwLWBX4HfJB+bwWuAz6jYC0iIn1JVUrYIiIiUltVKWGLiIhIbSlgi4iINAAFbBERkQaggC0iItIAFLBFREQaQDVm62p4ZtYCHA3sCawEfAw8DPzC3SfXM28itZaGDz4S2I72sRNeAm4Ffu7ummBHpAfo8926zGwocBfwGWAO8CTRhzw3/vlJ7v6jOmVPpKbM7HPAzcDixKBHzxOjFq6Ulm8D27r7E3XLpIgAqhIHOJ8I1o8Bq7j7p9x9BWBfYC5wkpltVc8MitSCmS1ODES0OPAnYDl3X93dVwVWAx4ARgE3mlmp+e5FpBv06YBtZqsAE4gR1PZ299dy69z9UuDU9PKk7s+dSM1NBJYE3gT2cPe3civc/UVgV2AqUdr+Sj0yKCLt+nTABvYhqv3+4e5PF1h/QVpuambLF1gv0si2SMtb3f3j/JXu/i7tU+Ju2G25EpGC+nrAzs23fX+hle7+BvBKerl5t+RIpPv8lHj0c3GJbZrSsrn22RGRUvp6K/HcVKAvlNjmZaLl7Go1z41IN0oT7DxUbL2ZjQTGp5dPdUeeRKS4vl7CXiot3y2xzZS0HFnjvIj0NL8EWoDpROM0Eamjvh6wW9JyZoltZuRtK9LrmdkJwF7p5Y/VF1uk/vp6wJ7XgW37dod16TPM7IfAT9LLm4DT65gdEUn6+jPsT4DhQKk+pkPScnrtsyNSP2bWnxiX4OD01h3Anu6um1WRHqCvl7DfS8sRJbbJPbtWlaD0Wma2KHA77cH6KmBndy/1uEhEulFfD9jPpOWKJbbJrXu2pjkRqZM0lvgDwNbprTOAr7n77PrlSkTy9fUq8X8CO9PeH3sB6YssN2DK3wttI9LIzGxZ4B5gFaJNx2HufkHJnUSkLvp6CfuatBxvZlZg/TfT8l53f7l7siTSPcxsIDHxxyrAbGB3BWuRnqtPB2x3fw74IzGK0/VmlhtIBTObAByTXv60DtkTqbVjgE+n3w919xvqmRkRKU3Ta5qNAO4G1iaqBP9DtBzPzQt8vLufXKfsidREKl2/TXzW5xKPh0q5Xf8HIvXV159h4+5TzGwT4ChgD2AcMS/2vcA57n59PfMnUiNrE8Ea4ntg0zLbP1/b7IhIOX2+hC0iItII+vQzbBERkUahgC0iItIAFLBFREQagAK2iIhIA1DAFhERaQAK2CIiIg1AAVtERKQBKGCLiIg0AAVsERGRBqCALSIi0gAUsEVERBqAAraIiEgD6PbZusxsInBJJ3a9193Hm9mKwEvpvVXdvVtmETKz/sDK7v5sdxyvO5hZbuaXrd39L3XNjIiIlFSP6TX/BzxQ4P3lgeWAWcC/C6z/Ty0zVYqZbQOcA1wLnFCvfIiISN/V7QHb3ScDk/PfN7OTgB8Cb7v7Zt2drzK+D1i9MyEiIn2XnmGLiIg0AAVsERGRBlCPZ9jV1GRm+wEHA+sAbYADvwN+4+5t+TuY2SDgm8CewBrAQOBV4DbgDHd/K7PtRBZsIHe8mR0P/N7dJ2a2Ww/4FvA5YDQwGJgKPAxc7O7XdvTEzGxUSvNLwErEzZUDVwDnuPusAvvsBhwIbAAsBkwB/g6c7+5/LXO8nYDvpH0HAC8CfwR+7u6zC2zfDEwA9gPWA4YCbwJ3EtfxubztVyQaC/4P+BRwEbAlMAP4k7vvldn288DhwKbACOJa/iOd90LnYWYvAysA44ClgaOBjVOeXgKuTnn6pMC+TcDe6TzWBpYA3gLuAk7JP4+0z8rA94BtgDHATKKNxe+BS9x9Xv4+5ZjZusB3gS3SOXxCtOW40N2vK7D9PcDmwPYpv8en14sDbwA3ASe7+7tFjrcL8X+zYdrnXeBe4Ex3f6TA9rn/pVHAz4nP5TziM76Nu89N230FOBRYC2gBniDaf/yD+Fu84u4rmlk/4v9uNHCku59VJJ8XEZ/pC9z9kELbiPQVjV7C/i0wifiifhaYQwScXxNBewFmtgzwIPAL4DPA+8DTRIO3I4AnzWzTzC65BnIfpdevpdfPZtI8hPjSOoj4on0eeIEImNsD15jZzzpyUikPjwM/SOf2Yjr2esDpwJ/MbGBm+wFmdj3RKG67dB0eI27IvgzcZWYFvxCTHwA3p2vyIvAx8YV7MnB7+nLN5m8Y8Cfi2m8BTCcC1oh0HR43sy8XOdYg4M/A1sAzQCvwcibtU4nAsVva9om0zS7pPE4tcR4HAXcTNwKvE0FodeBE4I4i5zEZuBTYimjw+B8iaO8PPGJmn8rb58vAk8AhwLLAf9NxNiNuQu5I6VbMzA4lPkP7AsOBp4iAvQ1wrZldnm6QCtkeeAjYFXiP+JysBPwf8HczWyTvWP3N7DLgRmAH4ib3ceIm82vAv8zssBLZvQ7Yi/iMTyfanMw1s35mdiFwDTCeuBF7hvjM/pEI8vO5eytxgwOwT5HrMgTYI73sTM8SkV6l0QP2ZsCRwNLu/mni7v9Xad3+ZjYut2EqSV1LfIHcD4xz95Uy+11MfFHfmEq3uPvk1ADu0ZTMH9x9M3c/OaW5KvBL4jqekPLxKXcfR3yZX532O8rMhldyQmm7a4CliGCynLuv6+6rAxsRwWE80UAv5yziC/sTYHd3X9bdN0rndRgwFzjCzI4octjPA2cCo9z9U8AyREM7gC8A2+ZtfxER4J4CPuPuY9x9g5Tnk4EhwOVmtlaBYy2e8rVeOtaywKnp3L8BHAN8AExw9yVSussSNSLTgGPM7OtFzuO7xE3EKHdfl7gROzSt+yywc972Z6Zze4/o2rZC+jyMIQLaMOLz0Jzyty4RfAYDPwVGuPt67r4qUWvwXLpevy6Sv4WY2fbAuURp9TvA4ukztAJxjd8hAuRJRZI4nLgBWt7d13T3scTNzTxgLJB/rX5C1Ci8Dmzn7ku7+4bE3+5wIoCfY2ZbFzneBsD4dH1HE58viFLwQUSg/qq7L5/5211H3DjmywXh9Yp8Vr4ELAo87e7/KpIfkT6j0QP279z9LHefA5CW36O9RPy5zLY7E1/abxJfVJ5b4e4fEl84/wRGEqXtSmxDBMOH3f1nuXykNN9PeYGoYq60lfnBRMB8GdjN3d/OpPlvouQEsF8q1YwhqvgBDs5Wv7v7PHc/nyhBfSM6hQAACmlJREFUA/ywSOnvTnc/yt2npf3aiCCau0bzr2MKWnsSpatts1+k7j7T3Y8nblQGZ46b71fu/nTaZ7a7f5RqDH6U1h/g7pdn0m1z96uAo9JbP0r94vM9Dnw9/T1z+/2K9i6B82tPUm3Lwenlvtl+6Gn/CcSNw3JE4IQImoOAc939B+4+I7PPo0StwDxgbzNbo8i55zsZaAKOdfdzstXp7n4XMDG9PNLMRhTY/x3gK9lHOe5+M3B7gXNemvbP9i7ufkdmn3nufi5x89dE3JAUcrW735f2aXX391PNxUlp/VHunrtRxd2nEiX3J/ITSmMo3JdeFipl75eWKl2L0PgBe6Fne+lLNPfcccnMql3T8sZcYMrbrw24LL3cqZKDu/v57t7CgjcGWdMzv7dUkmbm2JdmA0LGtcD6wGqpWnF7our7beCqImmeC8wmqunHF1hf6Dq2EVW/UPg63uPubxQ53qVpuX2Rqtz7C7z3WeKRwsfE89dCLieqx0cTJdp8txVqt0BUzUKU7nN2JALTq6mr4QLSZ2QTYBl3vyO1fdg+rb4sf/u0z3+IRxFNwBeLnMN86bn+emXSnEzUAAwhSu/5/uLuMwu8X+ictyduOJ4u9Jw6yf3tNjKzpQqsL/S325i4yZxF1FQtIN3Inl/keLnt984+skg3VFsRN8SXFtpRpK9p9EZnxQJGrnHRkMx7uSq3nVIpsZBctfVqZtZU5Mu/kNlmtlE6xirpZ23i+WlOpTdHY9Py8UIrUwOwxzJv5Y7xaArghfaZZmae8mTArXmbdOY6bmBmhb68s9svQgTXV/PWv8XCcukOBO4zK1ohMY+4lqsD+dWkxc4jd+OT/bznrvNCJb8cd/9v5uWqRLAD+JWZLdToL1khLVcvsj4rWw18Q4lzHlwizY6cc+54Y0r87bKf09WJEnxWqb/dc0VuMqHwYEgQj3/OJT4nWwK5mo4JQDNwi7v/r8i+In1KowfsQiWLYhZLy+XSTynNRLD5qMx2pFbqpxAljKyXiIZvB3UgjxANt6A9WJazaFp+WGa73LksUmBdZ67jUumnnMVZOGAX+lLPpTuITDVumXTzLdSaPU9T5veOXufFMr9vUMH2hfJXKs3uOOfc8RbtwvEK/e1GpmWpa1nwf8ndp5vZVcQjqX1oD9iqDhfJ0+gBuyNy1eDfdvfzqpFgCtaT0ss/ATcQ1cjPuPtUMxtAxwP2NOKLtVBgLeTjtFys5FbttQcfl9yqvNx1/Lm7f6/klp1L9+HUWKnWcser9DpnH6MsUqiLWBfyMMXdR5bcsjpyx7vO3b9Sg3QXLbFNqet8MRGwv2xm3yRK9msSjwLya4NE+qy+FLAdWJf4IijIzJYjVeG6+5sVpHlcWv7B3fcrsH5Mh3MZXcY2JKoZF+q/nW4C7iaeWR9NdCsCWN/M+hWqFjezRYHV0suF+hV3UK4hWqnrOIL40n0NeK3CRwu5dFczs/65fr156TYRz+BfJ/rzlitdlpLrmleodXLueD8iurpdAVxPVMc3E+f+zyL7bEjUWLxUQVDPnfMIMxuVbWCYl+ZmRJ/6l0tUOVeikr9dC/H5e424xpX0Kc816htrZkOK5LHYYyjc/R9m9gzRhXFr2mswLss25BTp6xq90VlH3JKWexZpTANxp/8P4gs6KxcEm/LeXyktHy6S3oGZ3yu9Ocq17t0729c6Y3uiOnM7op/4ZKJhzijgq0XSPCwdfzrRx7krctdxq2y3uTynEo2T7mHha1bMfUS1/iJEH+hC9gL+StyklHusUc6fiL/rCma2Zf7K1Af460S3ryZ3/5g4H4juTwsxs5WI834C2L1cBtz9GaLfPsC3i6S5KfA3YryAjculWcbtxE3H/7d3f6FSVVEcx7/5UEIoGvTkQ2XW0sirVhRFIBH0IOJNiJR86o9/QAyuUEgEIT5doVIySXsokkorKKNEexFSwYQ0EotlaVgUGhhBWKTg7eG3jzOOd65zr3/oML/Py4XhzJ45M8NdZ++91jqThyjb6kPn+Q1qPNOJ3ajc8FoGyfYuF1oXW2mqks/morI08HK42Xm6KWBvQTOBcai5xblZRkSMiYj1KCt1AO1JN6tmSje1PF7NbhdHxISm8caWm5msaDq20yzx9Wg2NQl4LyJuaBr3XuCN6rjMPJWZvwAby2MbS6ep6vhRpbFLVS61qip5GqnM3A3sQBcA2yLigabXuy4iXqRxodLfLhFukHFP0fjc10bEky1Zw700zv2DzDxyiedxFGWdA2yKiPubXms88A5abTlGI/v+JRTwnoiIV5pL5Eod8TYUtI6heu1OVKVvKyLi+ZaGOA/SWGXZm5k7h3GKF8jMY6iGHuD9UHe76rVGRcQzNMqzXs/Mi+ZwlHFPA1VzoJcj4ly9e0RcD2xAVQBD2YQuPB9DXQv3Z2bbhECzbtQ1S+KZeSYiHkUz0umoq1miWeftNGYTfZm5veXpB1C51YKI6AF2ZeZS1A5yK2pxerSMB8ooHo26hg2grPGOlscz8/fSTWsrquudHRGH0IXGLWjGugN176osR8GlF3VW+w0tG0+kkRC0Dujv5D10YAFq5XofsCcifkJd426lkaj0amZuGOa4q8sYC9GMa3UZewJqwAGazbVrnDJcS1FzlZmoK9iP6OIsUKb7H6gW/h+AzNwTEQtRAOoDlkTEd2hV4Db03ZxArTrbZZGfJzM3lwY8K9H380JEHEaldDdXh9GYdV6qPvRbnA18Wn4rv5bXqsr3RnIb2dfQCsB8YGtE/Iw+iymoAc0+1Pjngq0OgMw8ERGf49m1WVvdNMOuZlV3oQYcX6HM7qkog/UjYGZmrh3kqf2oDepJFNx7ynifof2+T9Ce8hQUAA6i/e1pNGZxHdV2l3G/RHura9Bs7Q5Uo7wPWAzMaq69LcFhLloS/wJlWk9HFyObgYcyc9kwytQu9v5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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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JJ53E0KFDyczMpKCggH333Zc777yTa665hro65zaRk5PTzGzRUdXXcUW7bsKFmpbjcju8jXsqP4awlSJezod2oaq34RJV3Yez3FThLE//xjlOvtzM+M2qehBwNC5Edg0ucmILTrGaCewZrdyzqlaq6km4KqgP4DJhVuCUkxXAQ7j6GzPjlfU2jETgS8aPSWcjInvi/onzgbNV9b5mhjQe3w/3jzwS98/5OU6j74eLST5HVaOmZW3leZaOGjVq/LPPPtveqQyjS7DbbrtRXl7OtGnTuOuuu9oyRXP5CRCRT3Dlkj9V1Z3achLDMFpGt7MkiMhUnCk2v5mu8XgMpyD8Dxisqnvg1oSvwJlB7/KqxRlGt+edd97hvPPOY9asWaxeHTslxaeffkp5uavwPXbs2Jj9ovHll19yzjnnICK3ikjMG79XpCs4eXOpkw3DaCfdxnFRRLJwN/GrCadWbcs8U3FmvjLgpGCKWM+sN0tEdsSFH13lvRtGt6agoICXX3bW9ZqaGn73u9816VNZWcmNN4YTPh500EFN+sSjqKiIN998E5wvwAgROSpK0qpU4BbCzqItzUhoGEYb6RZKgoiMAl7BeXnX4xSFs4FhbZhuhvf+dIyqe3fhlIOfikh248x3hlFSUsL69fESBraMceO6hrFqwoQJTJgwgaVLl/Lwww+zdu1aDjvsMAYOHEhlZSVfffUVjzzyCN988w0Ap5xyCuPHN1d/qSG9evVi+vTpLFiwAJzz4isi8k/gW9zv1GhcJEcw++QzqvpUgi7RMIwYdAslAecvMATnPTxTVReJSFsTjARLtS6Mcfx9oA4X/rQHTWPvje2cOXPmcPvtt7d7nqZFAjuPW2+9lbPOOosVK1bw0ksv8dJLL0Xtd+KJJ3L55Ze36RzXXXcdCxYseBeXbXAqsUt7P4ELQzQMI8l0FyXhB1zK2ufaM4mX9CSYle/raH28crircFaKMZiSYGwHDBkyhPnz5/PEE0+wYMECVJUtW7aQnZ1N37592X333TnmmGPYZZe2ZmV21gRc+uefe6/dcLkXaoDVuIJaD6pqvJTNhmEkkG6hJKjqV7hEJe2lkPBnEq9i4AackpCsQjPGNswFF1zABRdc0OHn3VpTxeryzayt2Mra8i2UlJexoayczeWVbKmspKqulrp6P7X19dT5/dT7/fgDAfz4ySWTqYFxFPozSa9cR2btRkYOTmVEP6hbv476jRvwl5UzpaKC/YdW4+8/gEBtIYG6Wqivho1vELjnNVaSQlb2/mRm7g31AfAHoN5PwB8gY6cB5JyxJz5f7AAGz/fnEe9lGEYn0y2UhAQSGdxdFadf0A+hRcHgIrI0xqGRLRlvGI3ZUFXGu2u/5aPi7/hi01o+37CW4urSds3p2/AmN3w2l1S8EhFLYF0b5qkuf4u8xVeSUtcw23X1guWkDu9F1gGjYow0DKOrYUpCQ1pbl737JZkwuiSVdbW8teYrXvlBeWfNN3y5pTjh5+hfvSGsILQDX10WvkD0n5aUnllR9xsdh4gMxzmERiOAy3j5HfA8cLOqxrOqdklEZAZwP66U/OCI/a/hoteuV9WrO0e6+IjIbFzisNdVdWrnSmNKQmMiM7jF+zXL9t4r4vQJoaoTou33LAytcwM3ths2VJXx0vdfsGDlMl5f9SVV/tpmx6T4fWTXZpBTl0lWXTrp/lRy0zLoHdhIn4ovyK38jtSAnxQC+AIBUgJ+UgnQq6acfTaE3XDq/bmk1OaQVpuNry4HH9n40rPxZWbhS8vEl57pvWfgS0+H1FR8KSn4UjLI7LkXaXsPwZeaAik+SE3Bl+IjfeeBZOw2OI70RifwGS4LZJA03LLrjrhy2GeLyAGq+mlnCGd0PqYkNKQMl/o0EyiK0y/oi5D4xzlju6a8tpoXvlvGf75YxNvFX+OPY6zKrs2gb3kBvSryKKzJZUyPfowd1I/+AwroPyCfPn3zSFv7IRseu4yqb96LOoevJp/UsqGklo8g1bcfGcOFzFHjSB8xgNRhhaQO6Ulqrxx82elRxxvbPBeo6muNd4pIES4l9GHAXBEZ101SQJ+GWyZuf4zydoIpCRGoql9EFFdIZ3i0PiKSjsu+CK6Cm2G0m49LvueeTxfy4ndLqQ5EN/mn1acyoLQnA8oKGVzTi52GDGTEjkUMG17I0KE9ycgM/zvXV26l5NEL2frGP5vMk1LZh/QNO5NeuTNZO+9F1pE7kLH3cFKH9YzrVGhsP6jqBhE5HViFi+I6iHAp722WaLUyjPiYktCU93BKwj640sONmYj73KoAK9FqtItXf1Bu/uhlPtoQ/bcruzaDQVt7MaysNxP7DGfsjv0YNbo3g4f0IDU1elb1qm8/ZPUtx1G35fsG+9M2CxlrJ5Ml08id+SMyDxxDSm5Gwq/J6B54isJnuIJWO9INlASj9ZiS0JTHcdkajxORy1R1Y6Pjv/LeH7Nsi0ZbWbF1A9e8N5+Xf/iiybH0ulSGbunNToEhHDhmHOOm9GX4iF6kZzSfbXzLwodY969zwF8T2pdSPoCs744gb9JPyL1hL9LH90votRjdmuA6U5PQGRFJA04ETsDltCjCJZpbjcuA+zdVbWJtFZGDgfNxSbMKcT4Rn+F+e+9T1ZooYwqAX+OqgI7C1R36BpdY62ZV3dySi4nmuBjhyLkOGIBL1HUOYX+xz4B7gNmNU4UnUrauynarJIjIUNzaVEUjE9TLuAqQk4CnROR4VV3nJVr6LXAyruTrrI6W2egezP/2Ey5ZOJeKuoa/hb3L89m5fBjHjNuFvQ4fRr/+ea0y/2+YeyMbnolw2A6kkLnqAPKGnEbBwweTPtrSehgtR0RG4iwIfhpZEUQkG3gWmObtWgF8iquUO9p7nSIi+6nq4ohxFwK3es3VwMc4H68p3ut4EZmuqvURY8biIi2G4yLQvsaFoU8Afg+cLiKHqGpTjbt1+HB+GKcCm3HLyTvglJm9AcHVB4r8HDpKtk5ju1USgAdxX8rXiUj/qqoBETnN278fsNIzuQ0C+uNChM5Q1c87XGJjm+fepW9y3fsNS4P3LStg361jOGnKHkzceyhpaa0vzlp8z+VsfvsvobavNpec9WdSdPl5ZE4fvd35Ggy+/4ocoDuspdT8cMafWhRFlQi8Ilo9gX2Bv+Ceiq9X1ZWNul6OUxDWA4eq6gcRc+wJPI17Kr8SON7b35Pww9WJqjonYsxBwFO43+LjgTne/lxgPu4m/DRwnqqu9o71B+7DOVfOE5Gd22nd7QuchLMK3KGq9V7hwHtx9XouEZG/BkNCO1i2TmN7VhJioqrfiMiuuEqPR+Jq11fgtOk/q+qrnSmfsW1y/7K3GygI6fWp7LlqJMfLbhxx9o5kZbXt37H41t+xeXGEglDVi8Jef6DX7aeTUtiifF/disH3X3ELcAHuBret4x98/xW3/XDGny5K0vyviki847OApmU/YTrOwnBdpIIAoKofiMidwB9wv51BBBdavgl4rNGYBSJyI84fLNLEdhbOhP8RcGykhUFV14rI8cDnOMvFDODOeBfTAv6hqn+POEeViFyEsyCn4XzSgv/EHS1bp9BtlQRVHd7M8anNHF8PXOy9DKNdLFz9Fde+/0yonVudyY9X7MipR0xkn0ltKVbqWD9rFps/vyHUTqnqS79DHiTv9OnbnfUggpl0DwUB3HXMBJKlJDTOk5AK5ONufpnAb4BcEbmo0U1wshfpFStGN2j9iNRSv8X5LBQCs0Xkb6q6JGLOP0aZ52jvfU7k+SPGVIrIXOASXPXQ9t6I50c5xwYRKcFZGnp2omydQrdVEgyjq7CpuoKZr8+hPuDCzHNqMjjwm52YcdxE9pg4pO3z/vVBNn52jftZB3y1hQw4+ylyf7xXIsTelrmd7mNJqMddT7KIlSchA/f0eztOSUkFzovs4xW7KxSRvXFhkjt477vifBMg4m+gqsUiMgtnoT0NOE1E1uL8wBYAz3kPZ5Hs6L2fLSJHxbiG/t772GavtnlWxdgfXCqIvGd2tGydgikJhpFkrv/gOdZXuWSeqf4U9l85niOm7thmBSEQCLD1b8+z/oNLIMtlYfT5cxh08XPk7DExYXJvq/xwxp8uGnz/FVdiPgltxoswuEdEBgDXAueIyI2q+j2AiOTjHBBPIRwBAW6p4CNcePghUea9WkQW4RSP/XE30ZO9V52IzAFmqmrQutHDew86Q8ajZzPHW0KTyIpGRJrnOlq2TsGUBMNIIotLvmfOlx+G2j9aN5Rd+w1h+sHN/abEpuyud9jw2lUEirzo3ICP/mc/ZApCBN6NtcNvrt2Qp3FKQirOQvB9xP5puCfs24B3gaXAl56F4WyiKAkAqvok8KQXOjgF56x4KO5p+xTczfdIr3u51z5CVZ9pOlun0pVlSximJBhGEvnb4pdC2z0rc5mwcTAnnL1zzERIzVHxnyVsevTv1O3wSWhfr59cTf5+P223rIYRhchUzD4Ab3khGPp4WAxH7iZFOrywydGAT1WXqOpWnA/AfFzkwBXAjcARItLDsyYozllwAhD1Riwio3E365UdXIyqK8uWMLrDmp1hdEk+LvmeV1dpqL3L2mHst/8O9OmTF2dUbKr+t5zNN8ylati80L6skZMpOiGa87lhJITDvPcAsMjbHhFxfBGNEJEcXJIlaPggeg6wBHhYRKJ51f4vYjuYOSzoSHiWp2Q0PlcazqrxAS5ksyPpyrIlDFMSDCNJ3P3Zm6HtXhV57FDflwOmj2rTXLWfrWXTZc9QNfQpSK0GICWrBwPOexhfSvOZGA2jNYiIT0SOwTkZAsxV1R+87cjEQL/3ohyC48bjkgsF19Mioxsex6357wjc7OUZCI7rDVzvNd+LyHR7B7AGF20xz0uCFxzTx5tznDdvR9+Iu7JsCcOWGwwjCWysKueF75aG2hOKB7PffjuQk9N6X7r6kjI2XfAkdTlLqCtcFtrf58SbSC9qe3SEYQC3iciWRvvScQmC+nrtRYTT0aOqi0XkcVw65kuAGSLyLS4tc9DK8D/gQCBfRApUdauqrhGRM4GHcQmLfiEiX+PuQyNxORTWA7+IONcmETkS99Q+HfhWRJbhlkEEF6ZZh0vO1KHlrLuybInELAmGkQTmfvURtX4XOp1dm8Gwij5tyocQqK5j84VPUV+8iaqh4WXP7HHTKNj/zITJa2y37IhLQR/52gmoxq2znwHsraobGo07Cbd88AHuPrIz7qY4HzhcVQ8CgunujwgOUtV/4xwV5+JSH48HhgFf4vwRxqlqWLt2Yz705PwD8AlOgRmHq7XwILC7qj7Rrk+hjXRl2RKFLxCIXa/eSC4isnTUqFHjn3322eY7G9sUBzz5N5ZvLgZgwrrBnD1iP4772c6tnmfL71+kcu4nVA94jeohXvr81HSGX/8JGf3HJFLkrsJ2mwHKMLoiZkkwjATz5ebikIIAsMOmfuy1T+utCJXzllI59xP8aaVUDww7kPecfn53VRAMw+himJJgGAnm+ZWfhbYLK3IZWdiHwUN6xBnRlLpvNrD1OufsXT34f2FnxdxeFB15dbyhhmEYCcOUBMNIMM+vDC+pDtlaxO57DG5VHYVAVS2bL55HoLKW+qx11PYJ188p+unvSc0tTKi8hmEYsTAlwTASyKqyzXy6IZz+ffCWInbdfVCr5ij96xvUfelS2FcPegV8zm8ovd9oek47N3HCGoZhNIMpCYaRQF5fvTy0nVedxY/6D6RnYZM8KzGpfnsFFf/+CID6rGLqisKZFYuOvgZfWnqsoYZhGAnHlATDSCBvrf46tD2gtJAJOw5o8Vj/1iq2XP1CqF0rbxGsxJsxYCz5E09ImJyGYRgtwZQEw0gQgUCAN1d/FWr3L+vB+An94oxoyNbrX8a/thSA+tz11GSFfRF6HXGlZVY0DKPDMSXBMBKEbl7Hxupy1wjA2MwB9OvfsjoNVS8qVfPD2RT9Uz+DgKutk95/DPl7/zzh8hqGYTSHKQmGkSAWRlgRelXmscvYQS2KavBvqmDLH8K1bVJ2zaRyY7h6ZNGRV5kVwTCMTsGUBMNIEO+vWxHa7lfeg1Fjerdo3NY/v0ZgUyUAvux0AlO/hvo6ANKKhpG/l1kRDMPoHExJMIwE8S9nJNUAACAASURBVOHalaHtPhUF7DCyqNkx1W+voOrpcF6FnPN2pfSjh0LtwoMuxJdqddgMw+gcTEkwjASwpnwLxdWlofZOhYPIzo4frhiorGXrdQtC7bQd+1M7aDH+SleULyW7wIo4GYbRqdgjimEkgMUl34e2c2sy2WXU4GbHlP3jbeq/96r0pvoouHY6P/xrcuh4jylnkZpdkHBZDcMwWopZEgwjASwq/i60XVSRz8jR8f0Rapeto3x2OMQx94w9qS5/m7r1K9yOlFR6HnhBMkQ1DMNoMaYkGEYCeH/1t6HtPpUFDBvWM2bfQJ2fLde8CPUuUVLqkB7k/Wpftrx6d6hP/h7Hkl40NHkCG4ZhtABTEgyjndT7/SzbvCbUltx+ZGTGXsmreOxj6pauC7ULrjmI2i3fUrHs5dC+ngfOTI6whmEYrcCUBMNoJytLN1AdcCGLBGCPwcNi9vVvqqDstoWhdtZRE8jcdzhbXr0ntC9j8I5kjdo3afIahmG0FFMSDKOdLNsYtiIUVGczZkSfmH1Lb11IYGs1AL68DPJ/OwV/TSVbFj4Q6tNz6i9bVVraMBKBiPxSRAIiclYrx53vjZvRhnOmeWMDInJKC/qf5fWta+25jLZhSoJhtJPFa8ORDT2rchk2olfUfrXL1lH5nyWhdt75k0gtyqXsg//gL98IgC8zl/xJzf5WGkZCEZE9gZvaMG4vYFbiJTK6CqYkGEY7WbwmrCT0D/SgZ8+sJn0CgQBbb3g5WNSR1B16kXPSrgBsjlhqKNj7RAt7NDoUEZkKvAjkt3Lcj71xuUkQy+giWJ4Ew2gny0uLQ9tje/aPulRQ9dwX1H60KtQu+L8D8KWnUv3dEqq+eie0v8e0XyZXWMPwEJEs4ArgaqDFxUFEJBu40nvZg2Y3x/7AhtEO1leWsdlfEWrvPqBp2KK/oobSv7wWamceMIrMSSMA2BwR9pi1w0Syhu+WPGENw0NERgHLgWu8XVcDK2OPCI0Tb9zVgB/4P2BV3EHGNo1ZEgyjHeimtaHtzLp0Jgzr36RP+b3v4V9X5hrpqeRfNhUAf3UFpe88EurXY9o5SZXVMCIYDAwB3gVmquoiETm7BeOGeGPf9sYtFpFOjdcVkTSgtoXd/6mqrXLM3N4xJcEw2sGna1eHtntUZTN4aMMkSnXfb6b8/oaZFdOGFgJQtuhJ/FWu3kNKVj75E3/WARIbBgA/AIep6nOtHPcd8BNVfSEJMrWVAPBWnOO9AfG2m7WWGA0xJcEw2sEna8KW1t6BfPLyMhscL/3zq1BTD0BK3zxyz94rdGzrWw+GtvMmHk9KZk6Spd1+WD4jNQfI6Gw5EkDNmNn1Fc13ax2q+hXwVRvGLcctN3QZVLUemBztmIjkA8HEJAuAGzpKru6CKQmG0Q6+2lwS2h6R17BeQ/XbK6h+Ofw7nP/bKaTkuvtW7YbvG2RY7DH59CRLuv2wfEbqLcAFdA+fK//yGam3jZldf1FnC9IBPCQiDzXfrWV4yxD/AXYCPgdO8BQKoxWYkmAY7eCH6o3gBTOM6xP2RwjU1rP1hldC7fTdBpF12LhQu/Sdf0PAxUOm9x1J1uhJHSPw9sFMuoeCAO46ZgLbg5KwHChppk8/YFQL57sDOBjYAByuqlvaIdt2iykJhtFGSmuq2OqrCrV3GRQuD13x6GLqv9ngGj4ouPLHodDIQCDQIMNiwaTTLMNiYrmd7mNJqMddz/bAH1X14XgdvGyQ9zY3kYhcDpwD1ADHqOo3iRFx+8OUBMNoI0uLw+mY0+pT+NHwQQDUbyin7I63Q8eyj9uJ9PH9Qu2qr9+jdm14WbdgX8uwmEjGzK6/aPmM1Csxn4TtEhE5HrjRa/5SVd/oTHm2dUxJMIw2svi7cKbFHrU59CrMBqDs1oUESr36DPmZ5P96vwbjtkZYEbLHTSO9z/DkC7ud4d1Y7ea6nSEi+wAP4hYBZ6nq7M6VaNunO5jjDKNTiLQk9E/tgc/no3bpWir/+0lof97MSaT0Ckct+GuqKH3vsVC7YNKpHSOsYXRzRGQkMA/IAp7CJXoy2okpCYbRRr7eGhHZkNvb1We4PlyfIW1Ub3J+vkuDMeWLn8Zf6fynfJm55O9xbIfJaxjdFRHpBTyHy4nwMXCKqgY6V6rugSkJhtFGVtVsCm1LUT+q5i+j9uNwcqV8rz5DJFsiciPk73EsKVl5yRfUMLoxIpKJsxyMAVYAh6pqeacK1Y0wnwTDaAPVdbVsSgn/Du3cuz+ll7wWamceOJrMfYY1GFO3aTUVny4ItQsmn5Z0OQ1jO+DXQNDxZz1wr4jkAulR+tap6tSOEqw7YEqCYbSBz1atJuBFLfoCMPa1dfhLPKUhI5X8S6c2GbP1nUcg4AcgrWgY2TKlg6Q1jG5NZG31PZrpa8mUWokpCYbRBj7+PpyOOb8um5SHFofaub+YSNrghjUcAoFAg6iGgkmn4kux1T6j66Cqw9s4bnDzvWKOrSOUjqxF/e8D7mu072pcVUojCSTlV0pEmpbCM4xuhJYUh7Z7V2ZCrVefoX8+eWft1aR/9YpF1KxeFmrbUoNhGNsCybIkfCciLwL3A/NVtaVlPA1jm2DFlvWh7QHhTfIvnYovu+lS6NaFYYfF7DGTyeg7MqnyGYZhJIJk2TtTgcNwxTVWi8gtIrJLM2MMY5thdVU4DfzQTe7fKH2PwWQdIk36+mur2fruo6F2wSSzIhiGsW2QLCVhGG6N6EugCLgQWCQiH4nIBSJSlKTzGkbS8fsDbKQs1B5ZAqT4GtRniKR8ybP4yzcC4MvIJm/i8R0lqmEYRrtIipKgqj+o6g2qOhbYB7gb2AzsAtwCrBKR/4jIYSJi3lvGNsXGzRWUpYcLO0lxgOwTdiZ9bN+o/SMdFvN2P5rU7IKo/QzDMLoaSb9Bq+p7qvorYABwAvAM4AeOxaXQ/EFE/iQiY5Mti2Ekgs+/X4s/JZzMbURtFvkXTo7at27LOso/eT7UtqUGwzC2JTrsKV5Va1R1rqoehUud+RugHFcf/FJgqYi8ISI/7SiZDKMtfLb0q9B2bnUafc7bj5Se2VH7lr77KPhd5ENa4SByxh/QITIahmEkgg7NkyAiw4GTgGOAXQnHxy4B+gOTgUleZMTxllrT6GoE/AGWL/sWvOCEPlVZ5JwV2yc3MqrB5UZIjdnXMAyjq5F0JUFECoCfAacCk7zdPmAj8G/gX6q6RERSgaOAO4CDgVuBs5Itn2G0hqp5S/khNVyBeHCPInxp0Q1yVSs/pvr7JaG2LTUYhrGtkRQlwbvhH4pTDA4HMnGKgR94CfgX8JSq1gTHqGo98ISIlAEvAEdjSoLRhfCXVVP619dZd1Q47ccOgwbG7B/psJg1cm8yBjQNjzQMw+jKJMuSsAYX+hhcTvgGmA3MVtUfmhn7hfduKaONLkX5Xe9Qs7GSTdkh3Rbp0y9q30BdDaXvPhJqF0w6NenyGYZhJJpk3Yh7A5XAf3HLCa+1YmwWcA+wKAlyGUabqPt2I+UPLmJzThplmeHwx/H9B0TtX7bkWepLXSpGX3oW+Xv9vEPkNAzDSCTJUhLOBR5V1dLWDlTV5d54w+gybP3TK1Dn57v+mdSmhgvJjSzsHb3/m7ND23m7/5TU3J5R+xmGYXRlkhUC2R+XB6FZROQqEXkoSXIYRrupev1rat78FoCv+4QzKmYG0ijMzGnSv27z2oa5ESbPSLqMhmEYySBZSsK1wJkt7HsszknRMLocgZo6Sm98JdT+YXhmaLt3Wl7UNMxb3/l3ODdCryGWG8EwjG2Wdi83iMgw4MdRDvUTkXiKgg9X42FHiEiEbxhdiPKHFlH/3WbXSPWxpn84z0H/rB5N+gcCgQZLDQWTTrPcCIZhbLMkwiehGLgOiIwFCwCjgHtbMN6HC4s0jC5FfXEZ5Xe+E2rn/GwX1tV/EWoPLejVZEzVtx9Qs3pZqF2w3+nJFdIwWomX1O7bGIcDwCbgO+B54GZVLekg0RKGiMwA7gdWqergiP2vAVOA61X16s6RLj4iMhs4HXhdVae29FiyaLeSoKqVInI5cH3E7mFANbA2zlA/zoKwGPhte+UwjERT+rfXCVS4nAi+ntmknb0Xm+aEg252KGrqtBhpRciW/cnoOzLpchpGO/gM2BLRTgMKcRbeXYCzReQAVf20M4QzOp+ERDeo6iNAKChcRPzAB6q6fyLmN4yOpubjVVTNC1sE8n89mQ3V9VSkV4f2jSrq02CMv6aS0nfnhNoFky3DotHluSBaiLqIFAEPAIcBc0VknKr6O1q4JHAakAOs72xBthWSFQJ5Hc5cZRjbHAF/gK03hJ0V08b2Jfu4nShZvJqyjLCSMCS/sMG4so+ewl/pHsp8mbnk73l8xwhsGAlGVTeIyOnAKmAMcBAuE+42jarafamVJCW6QVWvU9X7kzG3YSSbyic/o+6z8EpZwZU/xpeawsrijdRF5EhorCRELjXk73kcKVl5SZfVMJKFqm7ALUeAW34wtkMSEd0QjO96W1WrGu1rMar6SvO9DCO5+LdWUXbzG6F21qFjydjD+T19tT7sv5VBKr0yc0PtmuJvqFga9r8t2G9G8oU1jOST7r03SYwnImnAicAJwG64VPx1wGrgFeBvXnK8xuMOBs4H9sb5P2zBKSOPA/dF1vSJGFMA/BpXQXgU7gH3G+AJnHPl5pZcTDTHxQhHznXAAFz4/jnAeG/YZ7gswLNVNZAs2boqiVhueAnnhDgeWB6xr8mHGYdAgmQxjHZRdufb+De6Ko++7HTyL5kSOrZy80bId9t9Mwsa5EjY8lo4kCe9v5A9Zr+OEdgwkoSIjMRZEPw0WmoQkWzgWWCat2sF8CnQDxjtvU4Rkf1UdXHEuAtxFX7BKRMf49L4T/Fex4vIdK/gX3DMWFykxXCgHvgal/Z/AvB74HQROURVw6FHbcOH88M4FdiMu5/tgFNm9gYEuKLR59BRsnUaiboxR1u2aJplJjat6WsYSaHu6w1U/Dv0e0bu2XuROqAAcPkPVlduDikJgyPSLAfqatj6Znh1ree0X0ZNsmR0HJdd/EwOkNHZciSAmj/ffHhF890Sg1fBtyewL/AX3G/79aq6slHXy3EKwnrgUFX9IGKOPYGncU/lVwLHe/t7ArO8bieq6pyIMQcBTwFTvf5zvP25wHzcTfhp4DxVXe0d6w/ch3OunCciO6tqZTsuvy9wEs4qcIeq1otIFi6U/xTgEhH5azAktINl6zQSEQLZREGIts8wujKBQCBUnwEgdXAPcs/YM3S8rLSaLb7w//iIiJoNZYuepL7ULUX40rOs4mMnc9nFz9wCXEDyMsp2JP7LLn7mtj/ffPhFSZr/VZG4JcxnAb+Lsn86zsJwXaSCAKCqH4jIncAfgB9FHBJcAb9NwGONxiwQkRuBnYDI5YazcCb8j4BjIy0MqrpWRI4HPsdZLmYAd8a7mBbwD1X9e8Q5qkTkIuBk3P1yIs6C0hmydQrd4Z/IMNpN9atfU/PWilA7/7Jp+DLDOnRJSTnlGeHqj8N6FoW2N796T3jcxBNIzWuaZMnoUGbSfX7bUnDXkyw+A96KeL0LLMXluQH4DfB3z8IQQlUn4274d8WYN2j9iCxu8i3OZ6EQmC0iOzea84+qeryqPhGxO5iyf07kTThiTCUw12seEesiW8H8KOfYAAQdkiIrtXW0bJ1Ch/sBeGtZ04FU4A1V3djRMhhGJIHqOkpnhf1mM/YZRuaPRzXoU1JcRnlk+GOei2yoWf0FlV+8FtrfY9ovkyus0RJup/tYEupx15MsYuVJyMA9/d6OU1JSgfMi+6hqrYgUisjeuDDJHbz3XXG+CRDxN1DVYhGZBVyFy1dwmoisBV4GFgDPqWrj/AXBqIqzReSoGNfQ33sf2+zVNs+qGPuDZsTIe2ZHy9YpJE1JEJFBuC/DSlWd5e0bB/wPt1YFUC4iZ6vqYzGmMYykUz77Q+q/95LOpfoo+L8DmvgUlJSUUx6RSGlwnnug2Px62GExc8jOZI3cK/kCG3H5882HX3TZxc9cifkktBkvwuAeERmAK9h3jojcqKrfA4hIPs4B8RTCERDglgo+wmXSPSTKvFeLyCKc4rE/7iZ6sveqE5E5wExVDWaBDBZICTpDxiMR9dibRFY0IvKHoaNl6xSSoiSISB+c2Wog8EzEobu9fQFcSE0B8JCIfKKqnydDFsOIR/3aUsrveTfUzjl5N9JGNU23/EPJZmrS6kLtwXmF+Gsq2brwgdC+HtPOMYfFLoJ3Y+3wm2s35GmckpCKsxB8H7F/Gu4J+zbCyxRfehaGs4miJACo6pPAk17o4BScs+KhuKftU3A33yO97uVe+whVfabpbJ1KV5YtYSTLkvBrYBDwJS6+FBEZBUzGmc/2U9V3ReQGXEjJxbi4VMPoUEr/9jqBSlefIaVXDnnn7Ru134qNG1ygFpDmS6VPdh6lCx/AX74JAF9WHgX7nNwhMhtGBxKZitkH4C0vBEMfD1PVV6OMG9x4h7fUPBrwqeoSVd2K8wGYj4scuAK4EThCRHp41gTFOQtOoOEDZ+S8o3E365UdXIyqK8uWMJK1ZncozkHlYFUNeoIe5r2/parBR7drcPGorU6+ZBjtpWbJaqqeCRuw8i7aj5SCrCb96uv9rPKUAYCB2T3w4WPTi7eG9hXsczIp2fnJFdgwOp7g73YACFY3GxFxfBGNEJEcXJIlaPggeg6wBHhYRKKZ3P4XsR10lAw6Ep7lKRmNz5WGs2p8gAvZ7Ei6smwJI1lKwg7AclVdEbHvQNwXLfRFUNVanMfrQAyjAwkEApT+KaI+w7i+ZB8dPfPs5k2VbE0LRzYMKSik8vNXqPkhXBiv54EXJE9Yw+hgRMQnIsfg/MoA5qrqD952ZGKg34tIesS48bjkQsE1+sjohsdxa/47Ajd7eQaC43oTriT8XoRD+x3AGlyo4TwRGRoxpo835zhv3o6+EXdl2RJGspYbsoHQr6qnUQUrQr7WqG8OrcvOaBjtpuq5L6hdsibULrjiAHyp0XXmkpJyKiIiG4YW9GLTi7eE2jk/OpjMgeOSJ6xhJI/bRGRLo33puARBfb32IuBXwYOqulhEHselY74EmCEi3+LSMgetDP/DPRjmi0iBqm5V1TUicibwMG5J+hci8jXuPjQSF1K5HvhFxLk2iciRuKf26cC3IrIMtwwiQCbOan1iR5ez7sqyJZJkWRJWAyMiNMz9gTycs2LIS8yLgNgBqxhpdCCBqlpK//p6qJ05fTQZew6J2X99cRll6WFLwoBAPeVLngu1Cw9OVp4bw0g6OwKTGr12wuVJeAY4A9jbyxUQyUm45YMPcPeRnXE3xfnA4ap6EOHf9VCOAFX9N85RcS5uqXk8MAznv3YjME5Vl0aeSFU/9OT8A/AJToEZh6u18CCwe6PcCh1GV5YtUfgCgcQ/xIvIv4DTcSEys3FRDRNxSSdO9vr0xaXenALcqarJTBjSJRGRpaNGjRr/7LPPNt/ZSBhld71D2d8XukZaCr3nn0nasMKY/Z+c+ynXrHuajTllAPzRV8Wk124DIGPgOIZd/6lFNSQO+yANowuRrOWGWbj827/2Xj6g1tuPiOyHS6CRiqsA1q71Gs9R5jLg5zhzVynORHaLqj7fhvmG43wl4rFEVXdp7dxG51JfXEb5ve+F2jmn7BZXQQAoKS5vkEip4NOwUtfzoAtNQTAMo9uSlOUGVVXgIJwpqhpXHexIVf3E67Iap6B8Bkxq5ODYKjznl1dwkRI74GJ1y73zPyci17Rh2mC60I00TFka+VocfajRlSm79c1QyKOvMJu8c/dpdsya9VuoTqsNtfuVuUim1Pw+FOxzSnIENQzD6AIkLeOiqr6DK68ZjW+BXSKUhvZwB7AXruTokREZwU4F/gVcKyJvqepLrZgzqCQ8rqq/itvT2GaoXbaOyqc+C7XzL5gUNeQxkpqaelZXhP26Uv31FFW7ZYfCgy8iJTMn1lDDMIxtnk7Jba6q/kQoCF6981Nw3qQnBxUE7xwPAX/ymte2cuqgkrDNeqQaDQlVefRccNJG9Sb7uJ3jDwI2rG+YjrlvdSmpBEjJ7kGPA0x/NAyje5P0Ak+ev0AP71wxF29VtS0RDqfi/BreUtVlUY7fBVwNTBKRoa04R/Du8VncXsY2Q/WrX1P74Q+hdv5lU/GlNa8ju8JO4ciGftVbAeg5fSapOT1iDTMMw+gWJLPA009wyTGaf1xzz3dtkSW4oLww2kFVXSUiK3EhNlOAh5qbUETycL4NYJaEbkGg3k/ZLW+G2hmTR5A5eUScEWHWlzR0WuxXtQVfRg6FB12YcDkNwzC6Gskq8DQZmIdbzmiJ63db3cOD9Xy/jtNnBU5JGNPCOXfy5FkN9BGR3+IKm6QBy4FHVfWtNklrdAqV85ZR95VXgdYH+b/ZP/6ACEpKyqlILw+1+1Vtpce0c0jNb1oEyjAMo7uRLEvCZbhlgE+A64DPCdfjTiTBjGDxCmcEk4C09Fc9aPkoBJYRziEOLoPY+V4eiHO9tNLNIiJLYxwa2UKZjDYSqK6j7PawTpd12DjSx/aNM6IhJcVlBNLW4vLEwID6KnodelmixTQMw+iSJEtJ2BeXlvlgVV2XpHNAOC94VZw+QeWkpW7oQSUhC5cE6jbgK1zd81NxoZZn4kI7z2uNsEbHUzHnY/xrnB8BaSnkXTi5VeNL166mdHgdQSVh1I8OIq1HvwRLaRiG0TVJlpKQCyxNsoIArux0SyM0Wppa8k1vzsWqemfE/u+A60VkBS73+LkickfjFKLRUNUJ0fZ7FobxLZTLaCX+0mrK7g5lASfnZ7uQNrhni8eXl9cwYvPjbMwcFdo3durZCZXRMAyjK5MsJWEl0BGPW2W4ZYF4we7BEp4VLZnQyy3+73jHvQRNo4GjcMmbjC5I+f0fENjsDEm+nHRyz42VtiM6JV9+QZHvLYKuLynA4D6xazwYhmF0N5KVJ+E/wEAR+XGS5g/ieaNRFKdP0BehOIHnDWZbbJmLvNHh1JeUUfHAh6F2zow9SS3KjTOiKeXzr6IkK1wmfkBOD9JTUuOMMAzD6F4kS0m4EfeE/aCIHCUimUk6z+fe+/A4fYLHlrd0UhFJF5F4d4Pg59Yix0Wj4ym/+90G6ZdzZ+zRqvEVn79G+tfPsTYznAthcH6vhMpoGIbR1UnWcsN9wA+4EppPAPUishGoidE/oKrD2nCe94AjCedLaICIDAaGes23m5tMRApx4ZSFwLE42aOxq/ceLYGT0cnUryul4j/hhJ555+5DSl7L9dRAfR3Fj1wMwLqsgtD+IXnxC0EZhmF0N5JlSfg5cIi37cMpI32BwXFebeE/3vtUEZEox8/13l9vSREpVd0ErPWaM6L1EZHjcKGLNcRWIoxOpPy+96G2HoCUvnnknNCSfF5htrx2LzXfOyVjbVakJcGUBMMwti+SZUk4I0nzNkBVvxSRR4CTgCdE5ChV/QpARE4BLve6/r/GY726D+nAFlVdE3HoRuBB4AgRuRG4VlWrvTHHAfd7/f6sqquTcV1G26kvLqPiP0tC7dyz98KX2fKved2m1ayfe2Wo/W320NC2WRIMw9jeSIqSoKoPJGPeGFwI/Mh7fSEin+KWC4LLF1fFqAD5stfnASKsBqr6kIjsBPwWuAKXPOlLXLTGIK/bfbh8CUYXo/y+96Amwopw3E6tGl/88AX4K11ehWpfLmuzegJ1AAw2JcEwjO2MpBd4SjaqukFE9gEuBU4AxuEcCl8H/q6qrV4SUNVLReRFYCbO32EnYCPwDHCXqj6bKPmNxFFfXEbF4xFWhLNaZ0Uo/fAJyhY9FWq/nTODioy6UNssCUZ3QkRG4x6EDsQli9sIvAvcoar/izOuCFc47yjcUvEm4C2cdfXdWONizDUVeNVrjmhuWVhEZgOn45aQp7bmXEbbSKqS4EU1zACOAMYCPVS1j4j0Bm4CbopRvbFVqGo5rhz0ta0YM7yZ4y8B0SwQRhel/J/vh60IfXLJOb7lVoT68s0UPxwu2lTbfy8W+ycDH7n5fD4G5FrVR6N7ICIHA0/i8shU4Jyw++Bu/EeJyF9U9dIo4/rhFIKR3rhPcIrC0cCRInKOqv6rY67C6AiS5biIiIwBlgD/AA7FVVYMxpANw2mDH4rIUcmSwdh+qC9pnxWh+KHzqd/sXFN8aZl8N+EqyjPD1R8tR4LRXfAe0h7FKQhzgIGquouqDgJOxmWy/a2IHBtl+GM4BeF/wGBV3QMYiLNIpAJ3ici4DrgMo4NIipIgIj2AF3GVF78D/krDSo1bgC9wmRIfF5EdkyGHsf1Qft/7UO2WBlprRdj6ziOUvjsn1C46+lpWV/ZuUCLa/BGMbsRZOL+tFcAMVd0SPKCqjwD3es1zIwd5SwNTcJluT/KiwVBVv6rOwqWrTweuSrL8RgeSLEvCxThrwTPAOM9sFQwtxItA+BHwFO5L9ZskyWFsB9SvL29qRchKb9HY2vUrKX7w/FA7e8x+FP7kEtaXlFOeHq4bZv4IRjfiW5wl4R/ByK1GBJOMNM5dM8N7f1pV19OUu7z3n4pIdpTjxjZIsnwSjsE5D56lqlErNKpqvYicA/wEmJYkOYztgIqHFoWtCL1bbkUI+OtZe++MUDRDSnYB/c95gHo/bNxQQdngCEuC5Ugwugmq+hhu2SAWwfSkXzbaH0xatzDGuPdxoUC53hxvtlXG1tDI+bE5zlDV2cmTpvuRLCVhB1wVyLj1ElR1vYgozqnRMFqNv6yaijkfh9o5p+/eYivCpuduolLfCLX7nno76b2HsW5dKYEAlGeYJcHYfhCRnsCvcXlu6oBZEcdScL/r0HDpOISq1orIKpwFYgwdpCTglq/finN8B2CAt/1d8sXpXiRLSfATrr7YHClANJOXYTRL5eNLCJS6r48vL4OcE3Zp0biKz19j/X9/F2rn7/Uz8vc53bH1HAAAIABJREFUCYCS4nIA80nYhlk7/qYcIKOz5UgANf2XXdqiCrZtxXNQvA5X7jQT+B74lWqEBu18GIL3i5I4023AKQm94/RJKKq6GJgc7ZiIjCeckv8PqvpKR8nVXUiWkvAVsKOI9FfVtbE6icgQYDwuCsIwWkWgpo7yyEqPP9+VlPzmazTUbV7DmjtPgoAfgLSiYfQ97Q58Ph8AJevKqPf5qUwPlxoxS8K2w9rxN90CXEASo7c6EP/a8Tfd1n/ZpRcl8RwTgQkR7ULgcBF5Q1VLvX05EcejLiF7VEbp31K+jZ5dv2144ZrPAT2Ax2lFiLwRJln/RE/iFJA7RMQXrYOXQ+GfuNoO85Ikh9GNqZy/DH+Je+onI5WcU3drdkygrpY1/ziR+q3rAPClZTBw5uOk5oaVgJKSMsrTw1YEy5GwzTGT7qEggLuOmUk+x21AHi6UcQbuRn8u8IqIBB8k61s5Z6ANcnyIWzaI94q7hB1ERHKA+TirxvvA6araFpm2e5JlSbgFOBP4KfCeiDyGK/CEiPwEVx3yLGA0sAb4e5LkMLopgXq/S57kkX3UBFL75DU7bv3cq6hcHl4q7XPSzWSNaFhGunhdWQN/BMuRsM1xO93HklCPu56koao/eJvlwAMi8i7wMc758BRgNi7sMUhWnOmCy8xtWSI5vhUZF+P1SQEeAfbELZ0cFcuB3mieZNVuKPWUgfm4L9ruEYef8d59OAXhyGC8rWG0lOpXvqJ+hfe1SfGRe+bEZseULnqSTS/8NdTO3+dkekz7ZYM+gUCAkuJyyrPNH2Fbpf+ySy9aO/6mKzGfhDahqioiT+AK500lrCRU43wWiuIMD/oitOiJP0n8DZc5shx3f4m55G00T9LSMqvqFyKyM3A2LmXnBNzaUDmgOAXiDlXdnCwZjO5JIBBwyZM8sg4cQ9qw+DfymnVfse6+M0PtjEET6DfjzpAfQpDyshoqK2spL7DIhm0Z78baoTfXbQUR6QWMAFbGyHcAsNJ77w8uYZIXibYTMDzGvOm4JQuA5QkTuBWIyAW4CA0/cLKqftzMEKMZklq7QVUrgFu9l2EkhJr3v6f203B179yz4lsR/DWVrLn9hHA+hKx8Bs78DymZuU36Fhc7q2pZhuVIMLotH+DCAi8H/hyjTzCR0qqIfe/hlIR9cP5kjZmIu6dUAYsTImkrEJEjcEvdAFeo6tMdLUN3JOFKgueQuB/OTDUUZ5oK4CqFfY5LxPGmOZEYbaXi/g9C2xn7DCN9Qv+4/Ysfmkn19+EAmn6/uI+MAdG9qIvXBZUEsyQY3ZYFOMfEs0TkZlWtjTwoIsNx1l9wFt8gj+Msw8eJyGWqurHRvL/y3h9T1Uo6EBHZHZdFMgW4X1Vv6sjzd2cSpiR4pqZf47TTXhGHfDT1dF0tIjfiyi77EyWD0f2p+3Yj1W98E2rnnrln3P5bXv8nW9+cHWr3POjX5O95XMz+JUFLQmb4N25EQYeFfBtGR3ATzvlvNPCIiPwquOwgIrviij5lA28AkU/jL+MiDCYBT4nI8aq6znMU/C2uOFQtEUmYOgIRGYpTZnJxNYN+GX+E0RoSoiSISAGuDsMUnFIAsBVXQKQU50DUA7cOlg4MwoXdHCUix3ilng2jWcofWhTaThvVm4x9h8fsW/3dkgbln7NG7UOfE/4Ud/6S4nJqUuqoTqsL7RuW3yvOCMPYtlDVb0TkBFxq5uOAIzx/gyxcpkSAd4FjIy2+qhoQkdOA13HW4pUi8hnu97w/7mHwDFX9vOOuBnDRH8GMij5gnhcCGS0kabGqXtBhknUDEmVJeBy3vFAP3A3craqfNu4kIhm4dauzcVrndOAhXK0Hw4iLf3MlVU8vDbVzTtu9ieNhkPrKray+4wQCtW7ZIDW/NwPOm4MvLb7De3FxGWWZ4aWG7LR0+mbnJ0B6w+g6qOoznmP5pcBBwDico+dCXDXHfzVehvDGfeNZG64CjsQV6qsAXgD+rKotraGQSAoitg9qpm9dM8eNRvgCgfa5BojI4bhkSFuBI1S1Rfm6RWQKYRPR9E76cnUqIrJ01KhR45999tnOFmWboOy+/9/enUfHVRz4Hv92t3ZZkmXLsrxKXnDZBmwwZrFZQhLIBo8QSFgCzkKYQ3ImL4GQhJdJJo8kTIYQ8jKTDENWYNgCISxhscMWgoPBCzE2NrbLu7xbsizJklpSb/f9ca9akt0Sbbu7pZZ/n3M41/dWdd1qDlg/1a1btYzW/+euFOsrL6Ty1ZsS7tPgOA5777ma1refdC/4fIy7dSHFp/T/90c4HOV7ty1ie2k9S6otADPKq3j58nQudieHSZz6RGRApGKxketxh5luSTYgAFhrXwe+g/uXwnUp6IcMYU44SvCRlfHzoqtP63Mjp6ZX7ukOCMCIy773vgEB4EB9G44DLT1GEmpK+3slXERkaEtFSJiDu8jGw8fw2QdwH1G8/0o4ckLreGkjMe/NA3L8FF2beCOn9i3LqH/sm/HzopM/zMhP/mvCuoeLT1rM6560WFOiSYsicuJKRUioArYmen71frwJi1txX5UUSchxHIIPdm/kVPCJ6QmXYI62NbH3v6+FqPufYmD4GKpuehhfkksq79vn7mXT0uP1x+pSTVoUkRNXKkJCIe5+3seqEXdegkhC4VV7CK/pXlm1+HNzj6jjOA51D/0zkQZvoTh/gDFf+QM5pZVJ32ffXjck9Jy4OKlEjxtE5MSVipAQ4Oh3COspnKJ+yBDVczvo3DMnkDtz9BF1Wt58mJalj8XPR15+O0Xm/KO6z769LUR80V5bRNdojQQROYHph7MMatHdzXS+sil+XrzgjCPqhOq2UvdQ96vPhdPOZ8Sltx3VfcKhKA0H2nqNIuQHchhTXNrPp0REhjaFBBnU2h5ZCTH3Nd3AhDLyPzilV7kTjbDv1wuIdbiPCvyFZVTd9GDS8xC61NW1um829Ji0OGFYOX6f/hcRkRNXqhZTKjPGXHCsn01RH2SIibWFaP/Tu/HzouvPwBfo/UP74As/oWPL0vj56C/cS+7Io58H2zUfQa8/ioh0S1VIOAU44RZDkvRqf2oNTqs7P8A3LI/CK07tVd65810a/vyj+HnpuZ+j5Oyrj+le+703G3pu7FSjSYsicoJLVUg43lXStCOk9OJEYwQf7l48qfDKWfiLu5dUdiJh9v3uhvjrjjkjJjDq+mPfkbxrJOFQfjB+TZMWReREl4qQMCkFbYj00vm3LUR3Nrknfh9F18/pVX7whTvprO3esn70Db8hUHjskwy71kg41GP3x5PKRh1zeyIiQ8FxhwRrbW0qOiLSU7DHbo/5F51EzrjuqSsdtatoePaO+HnZhf+U1LLLfenoCNPU2E4oEKEjt3tNsKnDk19jQURkKNLUbRl0wuv3E1q+M37e87VHJxph/303QtTdzC1n5EQqrr7ruO63f5+7HHNzj0cNJbn52v1RRE54Cgky6AQf6p6LkHNKFblzxsXPm1779WGPGX57XI8ZAPbuOQT0no8wdXhln9tQi4icKBQSZFCJHmij/YX18fPiBWfEf1hHmvfT8GT3Zk2l536O4pMvOu57xkNCQfd8hKmajyAiopAgg0v746sg7K7y7R9VTMFHTbys/vFvE2t3twnxF5ZRcfVPUnLP3bvcNns+bphapvkIIiIKCTJoOKEIwcdWxc+LPjsHX567cmLQLqblze7dyCuuvOOoNm/qSzQaY0/8cUOPNxs0aVFERCFBBo+OhRuINXi/zefnUHTVLMBdE6Hn3gz51XMo+9BNKblnfV0rkXCMiC/aayElPW4QEVFIkEHCcRzaHux+7bHwspn4y4sAaHr1HkK71sbLKj/3X0e9N0Nfdu9yRxGaCoLxJcEKArlUa7VFERGFBBkcwm/vIrKhLn5edL372mOkcQ8NT98ev156wZconHJ2yu7bNR+hqbAtfs2Ujybg1/8aIiL6m1AGhbYH347/OW9+NbknuUsi1z/+re4dHotHMOozP07pfeMhoaA7JMwcMSal9xARyVYKCTLgIjub6Pzr5vh58YK5AATX/ZWWpY/Fr1d85t8IlKRuP4VoNJYwJMwor0rZPUREsplCggy44MMr41t8BWrKyTt/Ek4k1GuyYsHksyi74MaU3nf/vhZCoSgODk2F3a8/aiRBRMSlkCADKtbaSftTa+LnxQvOwOf30fjSfxLau8G96PNRueCX+FI8T6B2u7uBVDA3RCgQiV+frpEEERFAIUEGWPtTa3DaQgD4SvMpuOxkwg07aXjmh/E6ZR+8iYJJc1N+7x21jQA0FrTGr40tLmN4flHK7yUiko0UEmTAOJGY+6jBU/TpWfiL86j/w604IXf4P1BSQcUVP0rL/Wu3uyGhoag7JJw6clxf1UVETjgKCTJgOl7eSNSbOEjAR9Fn59C29iVa334yXqfiqjsJDBuR8nu3tYU4UO9OVmwoaolfP33UhJTfS0QkWykkyIBwHIe2+5bHzws+Nh3fqHzqHvpa97Wp8yk99/NpuX/XKIKDw8EeIwmnVSgkiIh0UUiQARFavpPIe/vj58U3nEnjop8R3r/JveDzp2WyYpctmxsAaMnriE9a9OFjVsX4tNxPRCQbKSTIgGj7ffcoQt78aqho5+Dz3QslDb/onymoPi1t99+y6QDQ+1HD1LJRlOYVpO2eIiLZRiFBMi5s6wi9sS1+XnzDWdQ9egtOyN2FMVA6mpGf+kHa7h9sC7HX2/nxQI+QcNoojSKIiPSkkCAZ13b/ivifc2ZUEi5aS9s7z8avjbrmLgJFZWm7/9atB3G8xZsOlB6KXz9jVHXa7ikiko1yBroDcmKJ7jlEx8IN8fPCz8+i7pHPdJ+bCyiZd11a+9D1qKEjEKIxr3s55vljJqf1viIi2UYjCZJRbQ+sgEgMgMC4MtrDfyZc7z168AfcyYo+X1r7YDfUA1A3rHsUYXRRKZNKU7cvhIjIUKCRBMmYaH0rwSfejZ/nfaaKukU3x8/LP/J18sefktY+1NW1xtdH2F/cFL8+v2py2sOJiEi20UiCZEzbfcuh03vdsKKIlkO/xol0AhAYPpaRn/x+2vuwvsdrlweGd09anD9mStrvLSKSbRQSJCOiB9oIPr46fh74ZAfBtX+Jn1deezf+wpK092OdFxIO5bXTmNM9H+E8hQQRkSMoJEhGtN2/Ajq6RhECHNr1i3hZ4YwPMeysq9Lfh9YQtdvclRZ3lTXEr08vr2JCSeqXfhYRyXYKCZJ2sYNB2h9bFT+Pnr+SSOMu9ySQy+gMTFYEWL1qD7GY++7jvvLG+PWPTpyZ9nuLiGQjhQRJu7YHVuC0hwGIVTXQuufxeNmIS24jb+z0jPRj5dtuMGnPCbG/oDl+XSFBRCQxhQRJq2hDG8FH3wHAIUbnzOfBcV+BzB09lRGXficj/aivb2VHrfs2w/bhdXhrKTG2uEzbQ4uI9EEhQdKq7VdLcYLuKEK4eiXh1vXxssrP3YM/Q3slrFi6E3B3faytrI9fv3LKHL36KCLSB4UESZvIjkaCj7tzEWK5h+gcuyheVnLOtRSffFFG+hHqjLBs6Q7A3avhYI+3Gq4+aW5G+iAiko0UEiRtWn+5JL66Yqf5C07U/eHsLxrOqGt/lrF+vL1iF+3eaMbG0Xvi1+dXTaamdGTG+iEikm0UEiQtwuv20/GC+2ghXP4u4aKV8bKKq/6dnLLRGelHJBJl8WtbAWjKb6O25EC87PMz5mWkDyIi2UohQVLOcRxafvo3AGI5rXRM6d7hsXDaeZRdcGPG+vLmG7UcPBgEYE3Vjvh1M3w0H68+OWP9EBHJRgoJknKdL24ktGwHDg4dNc/g+FsB8OUVMfpLv8fnz8x/dm2tIV59aRMAu0oa2NljAaWvz/4Qfp/+8xcR6Y/+lpSUigVDHLrrNQAiI94lMmJtvKziqjvJGz01I/1wHIc//XE17e1hOgIh3h6/JV42t7KaSyedmpF+iIhkM4UESam23ywjtq+FWG4LHTV/jl8vnH4hwz/0lYz1460ltby3Zj8RX5TFNesJ5oYAyPMHuOvcKzSKICKSBG0VLSkT2d5I2/0rcIjRPvlxnBx3LoAvv5jRN/w2Y48Z1ry7lz8/tZaQP8LimnUcKO7e7fFf5n6cacMzM2lSRCTbKSRISjgxh+Z//QuEo4TGLCZatjleNurqu8irnJyRfry1pJZnnlrD7uJGlo/fTDCvM152zUlz+dLMczPSDxGRoUAhQVIi+MhKwv/YRaR4B53jX4pfH3bG5ZR98Ka037+5uYOnn1rDy9vWs75mF3XDDvUqv2rqGdw5/1NaXVFE5CgoJMhxi2xvpOXni4nltNI+9VHwuQso5YycyOgbfpe2H8yRWJTltbU8uWwVK/ZtZ09RIx2Twr3q5Pj83Hr6xXx11oUKCCIiR0khQY6LE4nR/L1FOB2dtE9/FCff3UQJf4AxX36YQHF5yu51sKONlfU7eKN2C0t3b8W27Sfsi7qFZUfWP3fMFL439xOcWqENnEREjoVCghyX1v9aQnjlbjonLiRaujV+veLTP6bwpGN//u84DtsONfDmvi0s27ON5Xu3s7uzqXelBAMDOT4/F0+cyRdnzGP+mCnHfH8REVFIkOPQ8foW2n6zlFDFCkJVS+LXS865hvKP33rU7bVHwry+eyOLtr/H4l2bqA+1vO9nfI6PUeES5oyayMdPmcmHqqdTnl901PcWEZEjKSTIMYnsbqb5toWEh6+nY9LT8ev5E09j9Bd/m/Tzf8dxWL5/O79bvYTX9lo6nHC/9QvCuVQES6j2V3Dm6BoumXMy06dWar6BiEgaKCTIUYu1dtL01acJxyztJ3VPVAyUVTH2a0/hT+I3+fZQiN8sXcIj25axJ9bUZ72yjiIqW8sYHy3nrDE1nD2rmmmmkuHlhSn7PiIikphCghwVJxyl6ZZn6dz1DkHzAATc3/z9haWMv3UhuRXVfX/Wcajd0ci9by7m2UOraclrP6JOTjTAuEMjmNg2krMqajh92nhOMqMYM7YUv1+jBSIimaSQIElzIjGav7OQ4OrXCZr7IMddqMiXk8fYrz1N/sTZCT8XizmsfXcvT7y2imdz36GhuAXyetcZ3VLGWc5kPlozk5nnVzFp0ghy8wLp/koiItIPhQRJihOJ0fwvC2l94zmC5iEIuHshEMil6iuPUjTjwiM+E4s5rFq5mxdfsiz2Wd6r3EnM78TLfQ6cTjWfnzKfi04zlJUVZOjbiIhIMhQS5H057WEav/EsresfocM8F5+D4MvJY8xXn2DYaZce8ZmtWxp47pl1vNuwi2XjN9FUGOxVfm7pVH74gf+FqdA+CiIig9WQCAnGmCLg28A1wCSgBfgH8B/W2kXH2OZE4PvAx4BKoB54Ffh3a+36VPQ7G0T3HqLx5j/R0vI7wjXL4td9uYWM/frTFJ9yca/6BxuCPP/sOlat2c2aqh1smLobp8dUgsr8Eu46/woumjAjU19BRESOUdaHBGNMMe4P77OBMLAWGAl8BPiIMeZ2a+0PjrJNAyzx2mkGVgOTgQXAZ4wxl1trX0zdtxicOv++jQP/917aRz1ErLIufj1n+DjG3vw0BTVnxK+FQlH+9upm/vbXLezOP8iyaZtpze/o1d4CczbfmftxSvP0WEFEJBtkfUgA7sENCKuAy6y1OwGMMQuA+4DbjTFLrLWvJNOYMSYHeB43IDwE3GStbTfG5AE/A74KPGaMmWqtbUj91xl4saZ2mn+6kOYV9xCa8Pf44wWA/ElnMu7rT5MzfAzgvrGwds0+nntmHXXNLawas53NI/f1aq+mZCQ/Pe9K5lVlZidIERFJjawOCcaYKcD1QAy4risgAFhrHzLGTAO+B9wOJBUSvPamAjuAG621Ia+9kDHma8Bs4HzgFq/tIcNpD9P22DIO/vE/6RzxIs7Yth6lPso/ejMjr7wDvzcSsHNHE4ue38CmTfXUDq9npdlGR273Ykh+n4+bTr6Ab5x+EYU5uRn+NiIicryyOiTgDv8HgCXW2nUJyn+F+4P8XGPMRGvtjiTa/IJ3fKgrIHSx1jrGmF/jhoRrGSIhIbq/hUMPvsihxb8jVLoEZ3TvSYY5ZROo+sr/UDT9AwDs2tnMKy9tZN3a/RwobGH15O3sH9bc6zMzyqu4+7xPM7tifMa+h4iIpFa2h4R53vGNRIXW2t3GmFqgGvgA7uODPhlj/MBZ/bWJO1cBYLIxZkLP0Yts4TgOka0HaH3pFdreep6O4BJiw3a6D1h68PkLKb/0W4y45Jt0xvJ4e/lOlr21g23bD7K3pJGNNXvZW9rY6zP5gRxunv1hvnzqBeT6tc6BiEg2y/aQMNU7bumnznbckDAtifbGAV3r/fbV5k4gijuCMc07H5ScaIxoXRPhrVvp3LKRzs1rCO1dR7h5M5G87ZDTAX5g2GEf9OVTMPc6OufdzOqGPLbc9y6rd+7mQF4L+4Y1sWdGI+25oSPu9+Hx0/nROZcxsWREJr6eiIikWbaHhErvWN9Pna7JhRVH0V6fbVpro8aYZmBEkm0es0jTPpoX3U9o/TacUBgnFoFYFCfqHWNR7xjBiXbihNuIRdtwYkEcpwOHVpzctiMbLoLWQD5/rZzNwbxiIv4AEZ+f9kAZjQU11PvH0h7y0bHkWTpyQgRzQ0ROivbZz9kV4/nm6Rdz4bhp2mhJRGQIyfaQ0LWTUEc/dbo2CEhm/+CedVLVJsaY9/oomr5jxw4uueSShIXh+m3EQsGEZe8vDzfHJP6tvj6/lGCOn+6vAnCIRAMjud4/hxuWm09ZXiHkruFuFnH3MfZUpMvmzZuftdZeNtD9EBFXtoeEKO6AeTKc969C378uH3ub/YmFQqG2zZs39/PIIv84b9GH9k78dB5XE0FapngRpr/HPdLbFO+of2ciMuhle0hoBcqB/lbn6ZpjkMyv5K09/lxA36MJR9Mm1tqTk6mXbbpGSIbq90sH/TsTkWyS7G/hg9UB7ziynzpd8wbq+qlzeHt9tukttlR2FG2KiIhkpWwPCV17KNT0U6erbOP7NWat3YO7DHN/bU7AfbMhqTZFRESyVbaHhK4dh+YlKjTGjAcmeqdvJtnm8v7aBOZ7x1ovVIiIiAxJ2R4SnvCOF3qbMh3uy97xdWvt9iTb/KN3/KK3X0NfbT6QZHsiIiJZKatDgrV2E/Ao7vD/U8aYrsWVMMZcD9zmnd5x+GeNMVOMMdONMWMOK3oYd+b5ZOBRY0yJVz/PGPML4DzcRxK/TPX3ERERGUx8jnO8b/ENLGPMSOA14FTcVxjX4L7xUO1V+a619scJPrfdq/M/1tovHFZ2JvAy7gTFVmADbmgYAYSAj1lrX0v9txERERk8snokAcDbrnke8APciYQzcN9MeB24MlFASKLNFbi7Pf4eaPL+HAOeBM5WQBARkRNB1o8kiIiISHpk/UiCiIiIpIdCgoiIiCSkkCAiIiIJKSSIiIhIQgoJIiIiklC27wIpGWaMKQK+DVwDTAJagH8A/2GtXTSQfRuseqzJ0Z9ya21T+nsjIpI8vQIpSTPGFAOvAmcDYWAt7poUXftj3G6t/cEAdW9QMsYMBxpxF/pa2k/Vj1lrW/spFxHJOI0kyNG4BzcgrAIus9buBDDGLADuA243xiyx1r4ygH0cbGZ5x03W2vMGtCciIkdJcxIkKcaYKcD1uCtPXtcVEACstQ8Bd3qnt2e+d4PabO+4ZkB7ISJyDBQSJFkLcDfSestauy5B+a+847nGmIkJyk9UXSFh7YD2QkTkGCgkSLLmecc3EhVaa3cDtd7pBzLSo+ygkQQRyVqakyDJ6tqGe0s/dbbjzuKflvbeZAFjTAA4xTvdY4y5BTgfd3fR3cALwBPW2tgAdVFEpF8KCZKsSu9Y30+dBu9Ykea+ZItpQIH355eBksPKFwDfMMZcbq3dm9GeiYgkQY8bJFlF3rGjnzrth9U90c3u8ecVwAVAMe5ro9cD+4CzgIXGmLzMd09EpH8aSZBkRUk+VGrxDVct8AvcN0Ju7fFYIQg8YoxZAbwDnAZ8Cbh3QHopItIHhQRJVitQTvfweSKF3jGY/u4Mftbat4C3+infaIx5BPgn4FMoJIjIIKPHDZKsA95xZD91uuYi1KW5L0PJO95x0oD2QkQkAYUESdZ671jTT52uso1p7UkWMcb432e+Qdf/g+FM9EdE5GgoJEiylnnHeYkKjTHj6d7D4c2M9GiQM8YsBkLA3f1Um+MdEy1QJSIyoBQSJFlPeMcLjTEmQfmXvePr1trtmenSoLcWd5XKK4wxh7/+iDGmGrjaO30skx0TEUmGQoIkxVq7CXgU94feU8aYrsWVMMZcD9zmnd4xAN0brH4OdALjgMeNMVVdBcaY2cCLuK9ELgaeGpAeioj0Q1tFS9KMMSOB14BTcV+JXIP7xkO1V+W71tofD1D3BiVjzJXAw7hvhYRw52vkANO9Km8DH7XWHhyYHoqI9E0hQY6KMaYY+BZwFTAZd8LdP4BfWGv123AC3uOZW4GLgbG4i06twx2Z+ZW1NjKA3RMR6ZNCgoiIiCSkOQkiIiKSkEKCiIiIJKSQICIiIgkpJIiIiEhCCgkiIiKSkEKCiIiIJKSQICIiIgkpJIiIiEhCCgkiIiKSkEKCiIiIJKSQICIiIgkpJIiIiEhCCgkix8gYs90Y4xhjbhzovoiIpINCgoiIiCSkkCAiIiIJKSSIiIhIQgoJIiIiklDOQHdA5HgZY74A3A88DvwSuAeYATQAP7XW/twYMwb4KnAxMBUoAVqADcCTwH9ba9sTtD0GuBW4DJgA1AN/BH6Y3m8lIjLwFBJkKJkOvAhEgPdwg8J7xphzgEXAcKAD2AKEgUnAPO+fTxpjPmitjXY1ZoyZ7X1uDBAC1gLluKHhY0BRZr6WiMjA0OMGGUpmA2uAamvtHGA88CrwMG5AeAYYa609xVp7OjAK+D/eZ8/H/cFPJ6UTAAAClklEQVQPgDEmB3gUNyD8FZhorT3DWjsZ+ATuqMKojHwrEZEBopAgQ813rbXNANbaBtzgMBLoBG601jZ2VbTWhq21PwG2epdO7dHOFcBMoBH4tLV2f4/PLQL+d1q/hYjIIKCQIENJDHir5wVr7UprbTlQ7oWGXowx+cBB77Tn44NLveOfewaLHv4ANB9/l0VEBi/NSZChpCnR5EMAa227McYAc4ApwGTgZGAWUOBV6xmajXdc20d7YWPMe8D8VHRcRGQwUkiQoSRhQDDGnA3cC5x+WNEBYKF3fdJhZeXesbWf+yUaYRARGTIUEmRIM8bMAF4DCoF1wH3AamC9tXa3V2cJR4aEBuAkoLSf5gtT3mERkUFEIUGGuq/j/jDfAJxprQ0mqDM+wTULnMORow8AGGN8uBMbRUSGLE1clKGua4RgfaKAYIy5GJjonfYMzU96x8uMMeMStHspUJWyXoqIDEIKCTLUbfCOHzHGnNd10RiTY4y5FneVxi493254AVgCFAPPGWMm9/js+cDv09dlEZHBQY8bZKj7GfBZoAL4uzFmE3AI9+2GctyJiW/hrroYf+xgrY0ZYz4L/AX3kcNGY8wa3CAxDdgG7AZOy9xXERHJLI0kyJBmrd2B+5rjvcBG3JUSpwP7cPd5mAV816v+QWNM8WGfnQd8H3eOggHKcCc/zsOd3CgiMmT5HMcZ6D6IiIjIIKSRBBEREUlIIUFEREQSUkgQERGRhBQSREREJCGFBBEREUlIIUFEREQSUkgQERGRhBQSREREJCGFBBEREUlIIUFEREQSUkgQERGRhBQSREREJCGFBBEREUlIIUFEREQSUkgQERGRhBQSREREJCGFBBEREUlIIUFEREQSUkgQERGRhP4/4RMSUCqHm9EAAAAASUVORK5CYII=\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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n9hFPj1q3BdlHQhtK+C5VvXK+kupxcaQp3H3PHJsk61cuNLPfEepqijnZwhGEYqChwAVmNokw5vRMQnHigYQhKSH8gB+VZQD/dJyjzOy/CT/2TXE0oVsJZ7Q1wPfjQCp/IiTysYSGTPsTxqhOG2pmNdkmCigT3frM3P0/ZnYsYYz3ccCzZnYJYfzyRsKoaIf10nvJyt0/MrMrCS371wb+FUdfe5HQYHANwohY6ZOwv2QbmKSU3H2emR1BW4PHx+JY2XcD8wiTgBxL25XfDMKwtJn+Q+x+GI/3AjDX80yYUqWagNPNbEPC/8PHhPYO/03oggVwaa7Bk3JI/gaeHEd/rAOecPeUu//FzK4mlHaNJ4zffzlhqFGALxGGZE4PXHR7lglOziYMwTseODuOnvYrQqvwjYFTCSWFC1mx4WzVqfYr7PETJkzYg3DW2e52xx13nFtXt7zx6vHAM6utttpz6fV777338pmynnjiif/kOk6+7dx9xh133DF07Njlg4vtROh7+yShfnYfoGbYsGFcd911/d396czjX3PNNcnkciHwzBZbbPFKPP7zJ510UrqYqYaQiO6Jx/8Todi336RJk9hvv+VDGPd/8MEHW3O9n67ettxyy0kAY8eOXTPHNgBsu+22O+c7TjE+M3e//uyzz6Zfv34QWl3/jJCw/wwcPmTIkJrDDmv7WC+66KLrO/NeH3nkkeWNv7797W9/ryvbvfTSSyfvvHN67BFWizE+SOgfPp2YrDfffHOefvrpHYr996II3P1PhBPChYT+5MfF9/Ak8DvakvVDwPY5Bv5It1OoJwxm8wyJsfJluZMIM8DtRRiW90nCEMNrxfWXE8an74xnaOs7PpnwP/LXxDEh/DZeRvjOjCB0OXws3n5OW7K+jXAyvYI4Etr2hJNRCPMZ3Bnjv46QrO8jDH1a1Xo0YZvZ98wsFc+Ku7L/KDO7zMzeMrOlZvaRmd1mZh02cCiGiRMncvXVV7PZZpvR0NDAwIEDqa+vZ9GiRUV/nfvvv5+zzjqLbbbZhtGjR9OvXz8aGxvZcMMNOfbYY7n//vvZfvvts+7/la98hUsuuYSJEycyaNAgGhoaWLKkrSTr6KOP5vrrr2eHHXZg9OjR1NfXM2jQINZYYw122WUXrr32Wq699lp23bVtHo7777+/qO+x2Lr7mQEccMAB3HXXXey7776sttpq9OvXj5VXXplvf/vb3H333XzhC6WtMuvfvz9XXHEF11xzDbvssgvjxo1jwIAB9O/fn1VXXZWdd96Zyy+/nD/84Q8MG9ZuELSyEUdhG08YRvVZQjH5YsLsa7cQRq/bOQ5Bmc1UwlCxr8X95qHi8WzeItTz/i+hoeVSQjuIWwknQyd1ttQsFlnvSDgBmBOP+T5tgyzh7i3u/kPaJmV5jdBnfRnhBOJPwG7uvk88XrbX+YBw8nYE4aRgNuEk73nC2PJ7EHp3VLWaVKpnSj3NbAvgEcIwfUdmGyO2g/1XJvzhxhOKev5NKL5cmfCHO8rdu1WvYWavTJgwYYN77807Dr5UqQceeIATTwzzf1x00UV885vf7GCPPqerA3iISA/okStsC5OfP0j+MXU7chMhWT8EjHP3LxGKVk4j1KFcY2HCdBERkT6vqAnbzAZamBv1Ybox6ERM+JMIxSoHuPtcCGNhu/slwO8JjaTOyHkQERGRPqRorcTNbALwF0LdRgtwJmHC83ZdZgowJS7vdPds4z1fQxgQ5BtmNihXvYh0zyeffMKnn3Y03HbHJk5UQUhveeONN1i2rHsjOA4bNozVVit4BteSiFNwrlGEQ71a4PjeIiVXzG5d4wjJ+kngOHd/1syO7OKx0v01c3VTeZowwEIjodtAZr9kKYLp06dz1VVXdfs47t2dFEgKddRRRzFr1qxuHWPvvffm4osvLlJEPWZPQre87lqb/LNwiZSNYibs9wktAfPNC92hOJBCelSqrP0s3X2Zmc0iXL2vhxK29JLWVCtzl7Sf9jfVmmJRUyevbFtT8PliUqkUqaZ5RYmveWn3LxYXzPmMmS++wpqblsM8MCKSVrSE7e5vELppdFd6GkHIPyvVbELC7uoUb9KB448/nuOPP77UYZTMLrvs0q50YO6SJja98fx22w5ormefVzvX23DQ0maOefT1bsWY6Wb2WnHeq654AnjiPni1fBO2u08DppU4DJFeVY4jnTUk7i/OuRWk660b8mwDhO5bOVaNLzQoERGRUirHhN3ZzvHlOnymiEheZrYWkGtK1BRhOth3gfuBy7KMs172zGwKob3BLHcfl3j+MUJvoAvc/czSRJefmU0jDAH8uLtPLm005Zmwk0MT5pt9aFBctq9QzODuWcv24pX3BoWHJtUkW331nMUZX7cUDGipZ0BzP0S66WXCKG5p9YQqwo0II5gdaWY7uPtLpQhOSq9cE/YSwoxRuWYogra66497PCKpSrnqq5MGtOSuu/7uSVvQ0JA7kbfO+g9k1GF/usn/o7V+EUO+fxO1jV0eykAq0/Hu/ljmk3Gmtt8SZo+71cwm5pnDvZIcQqjS7H7f0SpRdgnb3VvNzIFNWHGA+eXMrB9tA8rP6KXQRDpl7MjhDB684kylqdYUqc9C84ul9F8+92TagLqPSdUvZPWNjPqhK/VSpFLO3H22mR1KGJd7PcJkNw+UNqruc/d3Sx1DpSnX2bqeist28+dGWxJONhYTBocXqQipzxbx8bZT+XjbqXy2f+YsgyLZuftsQpE5hCJyqUJld4Ud3UwYJe1bZnaKu8/JWH9MXN6kUc6kJ7SmWpm9eGHuDXqo7nrc6Y/Tb/Vx1A3OVxskVSr9ZZufucLM6gnTmO4HfJFQndgMfEAYgfIX7t6uNNLMdibMSb4Vob58HuHE4GbgV9lGgTOzocCJhDnnJxAu/N4iTJ95mbtnFhxlla3RWaIR3kfAqsDhwFG0tTV6GbgWmJZt5rFixVauSpqwzWwNQh1GU0bxyCOEmbq2Ae4ws33d/aM4qMqPCHOqLgMu6e2YpTrMXdLEDrdf1u75R/f+ISMHNtC0YClXXvD3rPuefOokGgf3p6Ghf6dft27w6D5VFD7u+tPqgJGljqNI5rx/2MUlmeLRzMYTrqxbySgON7NBwL3AV+JT7wAvEWY2XDfeDjKz7dz9+cR+JxCm4oSQ2F8gtA2aFG/7mtmO7t6S2Gd9Qov1tQg9et4kdLHdkDBH+aFmtou7v9bNt1xDqLc/mDAd6wzCgFpbxZuRMbd3L8ZWMqUuEv8dYdrM3yWfjGdOhxBGT9sOmGlm/yTU4VxC6O5wmLv/u3fDlWo3cmADowYOZsTAxpzbNA7uz+DBA6itre7ZKcddf9q+hETwcR+5fRDfU68wszozG2VmewD3EX6vL3L3mRmbnkpI1p8CW7r72u6+hbuvQag+/A9hGOfTE8ceTtsFz/7uPjbuszawMyHRTQb2TezTCNxNSIh3Amu4u7n7FwjDUt9LGMzqrngS0R1jgAMIV8uj3X1zwhX37+P6k81s+ZltL8dWMqVO2Dm5+1uECdEvJyTqjQndvB4AvurufyhheCKd0trcwtKZ77H0vfbjfC/Y+H+Yv9lPmb/ZT6kZNiDL3hXrOsIPb18xhvCeesqjZpZK3whF2p8CdxEam10C/CTLfjsSrrzPdfdnkivi46vjw40Tq4zwezqXMJVxcp8/AxcBtwLJIvEjCMXMzwH7uPsHiX0+JCT3mYQr+ikFv+vcfunuV6Sv8N19MfADwgVbPeFkpFSxlUSPFom7+1odrJ/cwfpPgZPiTaS0UtC0YCkDmpewcGHnxuxunvUBc74+Pfth65tI9Qv15TVVflVe5TL7YdcBQwiJaADwQ6DRzH6QLKZ2921jz5lcg0ilBw9Ijgr5NuGEYAQwzcx+4e4vJo750yzH2TsupydfP7HPIjO7FTgZ2IO2E4WuujvLa8w2s08IJ0/DSxhbSZRrozORsnPvzsflrLeG7tVd91FHAlfRd66yPwaO68Hj5+qH3Z9wVXhVfP064PvJbeKESCPMbCvC1fg6cbkZoS4bEiWq7v6xmV0CnEGofjzEzD4ktB/6M3BflqmN063TjzSzvXK8h1Xicv0O323Hck07l25onMxfvR1bSShhixRo5ID8w9an665Tra00f77ib13Lwtk9GVpZev+wi28Zd/1pt6FGZ90SW2pfa2arAucAR5nZRe7+HoCZDSE0HjuItpbkEIqznyN0fd0ly3HPNLNnCScB2xMS2oHx1mxm0wlTJaev+ofFZbohWz7DO1hfiI6KsZLFUb0dW0koYYsUWcuC2bx1wiorPFezrJEhWasf+7aY4Cpu/OsydSchYdcRrpzfSzz/FcKV55XAk8ArwOvxyvtIsiRsAHe/Hbg9doeaRGhotivhKvQgQiLcM26+MD7ew93vKfJ7665yjq1olLBFSmTorydRv9qqjBp26PK6a/W/ljySw5HWAMQi8HR3rt3c/dEs+43LfCK2lF4XqHH3F939c0Kd8d2EFtinERqe7WFmw+JVthMaem0IZE2KZrYuIXHO7OWJSso5tqIp21biIiWXCvNcp29NTcvabXLyaZM466df46yffq3Tddf1q61K/zVXp9/wMdQPXYn6oStRU6t/Sclpt7hMAc/G+2sn1j9LBjNrIAyoAiteoB0FvAj83syytXR8KHE/PcN6uhHYEdm6RsXBW+4EngF+nvtt9Ihyjq1o9OsgkkN6Yo/07deXPdNum8bGUG/d2NCP1gWf0vz5J7Qs0FwGUjxmVmNm3yQ0EAO41d3fj/eTg4CcFVuLp/fbgDCQSLpON9kI42ZCHfFGwGWxH3N6v9HABfHhU4mRJqcS+nRPIPRnXiOxz0rxmBPjcXs7KZZzbEWjInGRIshWb5007oy/Mu9bD63wXJ1m45IVXWlm8zKe60cYDCTd0v5Z2oZmxt2fN7ObCUOSngxMMbO3CUOTpq++HwK+Bgwxs6Hu/rm7/8fMDicMRHIi8F0ze5OQE8YT+mh/Cnw38VpzzWxPwtXsjsDbZvYqoajeCF3PmgkDsfTqFKDlHFsx6QpbpBfUNbavm1bxt2TYiDAcc/K2CWG64XuAw4Ct4kQgSQcQirifIfymb0pIUHcDu7v7TkB66Oc90jvFwacmEwZI+YwwXveawOuE+uuJ7v5K8oXc/Z8xzvOAfxFOJiYSxv7+HbC5u9/WrU+hi8o5tmKpSaVy9bXv+8zslQkTJmxw7733ljoUKTOzFy9gyxsuzjnXddrpp3yRwY39aFnwKTNPzz2J0lrnvtNu4JQxTxxL7cj8XcVKTKO4iJQRFYmLdMLJp02isbE/zfNnM/P0Dfnov+fzcc4BpkREikcJW6QT0o3Mmlv7MSj1ed5t1zj/JWpbhgBQs3Rgb4QnIn2YErZIQmuqlblLmvLPhV2g2pYhOccPFxHpLCVskYS5S5rY9MbzIQVDmyt2Fj4R6YOUsEWyGNBSz+4zNu/UPmte+DJ1g0cvf1yzVAlfRIpHCVukSOoGj6Z+6ErLH7fOacqztYhI5yhhi/Si0XcfTu2IcOVdM1xX4CJSOCVskWJI1dA6dzGtzW1X1a1zF7XbrHbEoHLvey0iZUoJW6RAJ586KecEHzXNDWoRLiI9SmMjihSocXB/ams1+JeIlIausEUobv9rEZGeoIQtQqL/tYhImVLCFukhyRbhaWoZLiJdpYQt0gWp1hQ1yxqXP65pbt/yWy3CRaSYlLBFOiHV2krLgtk0z5rFkOd/UupwRKSKKGGLdELLgtm8dcIq1CxrZAhK2CLSe9StS0REpAIoYYuIlBkz+56ZpczsiE7ud2zcb0oXXrM+7psys4MK2P6IuG1zZ19LukZF4iJFMvzGb9B/9bHLH6tFuHSFmW0BXNqF/b4MXFL8iKRcKGGLFEm/sauqVbh0i5lNBm4DhnRyv68CfwIaO9pWKpcStkiR1NSqhkm6xswGAqcBZwJ1ndhvEHB6vOkL2MfpDywiUkJmNgGYAZwdnzoTmFnAfhb3OxNoBf4bmNVDYUoZ0BW2iEhpjQNWB54EjnP3Z83syAL2Wz3u+/e43/NmdlwPxtkhM6sHlhW4+a/dvVON6qqdEraI9JgZU+rqgJGljqNI5qw3raWlB477PrCbu9/XydXHSzwAACAASURBVP3eBb7u7g/0QExdlQL+lmf9aMDi/Q5LEWRFStgiSSkY0FLPgOZ+7Ve1ttIy/5MSBFWZZkyp2xe4ChhT6liK5OMZU+qOW29ayy3FPKi7vwG80YX9ZhCKxMuGu7cA22ZbZ2ZDgCfiwz8DF/ZWXH2FErZIwoCWevZ5daus61oWzmXmGRv3ckQV7TpgWKmDKKIxhPdU1IRdpm4wsxuKdbBYVH4LsAnwb2C/mNylE5SwpWql58AGmLO4qcTRiJSVGUBHxUkrAxMKPN5UYGdgNrC7u8/rRmxVSwlbqpbmwO5xR9LHisSBkjbq6kU/dfff59sgjsJ2XUcHMrNTgaOApcA33f2t4oRYfZSwRaRHrDet5ZYZU+puQ43OqpaZ7QtcFB9+z93/Wsp4Kp0StkgHTj51Eo2D+9O/WaV4nRUTnFrqVSEz2xr4HVADXOLu00obUeXTwCkiHWgc3J/BgwdQW1sDqRpqljVS06wRIEVyMbPxwF3AQOAOwqAu0k1K2CIJt+96TN71Nc0NDHn+Jwx+6Ye9FJFIZTGzkcB9hD7XLwAHuXuqtFH1DUrYIgkjBmiGLZGuMrMBhCvq9YB3gF3dfWFJg+pDVIctIiLFciKwXbz/KXCdmTUC7UcigmZ3n9xbgfUFStgiIlIsQxP3v9TBtmpx30lK2CIdaJ4/m+bWfrQs+DTr+tF3HUbtyAZqhqs4XYrD3dfq4n7juvGazYQW3YVu/yvgVxnPnUmYPUx6gBK2SAdmnr4hg1KfA1BD+9bhtSMbqB3Z0NthiUiVUaMzERGRCqCELSIiUgGUsEVERCqAErZIJ4w7Q0Mhi0hpKGGLdEJd46hShyAiVUoJW0REpAIoYYuIiFQAJWwREZEKoIQtIiJSAZSwRUREKoAStkihUjW0fra41FGISJVSwhYpUE1zA5/tf0epwxCRKqXJP0QAUjCgpZ6mhctKHYmISFZK2FJ1WlOtzF3SxOzFC5c/N6Clnn1e3Ypfv/pMCSMTEclNCVuqztwlTWx64/mlDkNEpFOUsEW6YfRdh1EzfFCpw5AKZWZrAW/nWJ0C5gLvAvcDl7n7J70UWtGY2RTgemCWu49LPP8YMAm4wN3PLE10+ZnZNOBQ4HF3n1zoup6ihC3SDbUjG6iprSl1GNI3vAzMSzyuB0YAGwFfAI40sx3c/aVSBCelp4QtksM+845jYGoeA1PzSx2KVIfj3f2xzCfNbBTwW2A34FYzm+jurb0dXA84BGgAPi11IJVC3bpEgNt2PbrdcwNT8xiU+pwaUiWISCRw99mEotclwHrATqWNqDjc/V13f83dlbALpIQtAowc0FDqEERyikn75fhwo1LGIqWjInERkcrQLy7b1dGYWT2wP7Af8EVgFNAMfAD8BfiFu8/Ist/OwLHAVoT68nmEE4ObgV+5+9Is+wwFTgS+CUwgXPi9BdxGaBj3WSFvJlujs0QjvI+AVYHDgaOADeJuLwPXAtPcvV3RV7FiK1dK2CIFGnf648zb9+FSh1FRTjnpnjpgZKnjKJI5P7ts95ZSvLCZjSdcWbcCD2SsGwTcC3wlPvUO8BKwMrBuvB1kZtu5+/OJ/U4A/jc+/AB4ARhNSKKTgH3NbEd3b0nssz6hxfpaQAvwJrAI2BA4CzjUzHZx99e6+ZZrCPX2BwOfATOAdQgnFlsBBpyW8Tn0VmwloyJxkQLVDR5d6hAqyikn3bMvIRF83EduH8T31CvMrM7MRpnZHsB9hN/ri9x9ZsampxKS9afAlu6+trtv4e5rAFsC/wEagdMTxx4OXBIf7u/uY+M+awM7ExLdZGDfxD6NwN2EhHgnsIa7m7t/AVidcNKwJnBXPInojjHAAYSr5dHuvjnhivv3cf3JZrZSiWIrGSVsEekp1xF+ePuKMYT31FMeNbNU+kYo0v4UuIvQ2OwS4CdZ9tuRcOV9rruvMFRffHx1fLhxYpUBAwn9vG/K2OfPwEXArUCySPwIQjHzc8A+7v5BYp8PCcl9JuGKfkrB7zq3X7r7FekrfHdfDPyA0D+9nnAyUqrYSkIJW0SkPLwM/C1xexJ4hdA6HOCHwBVmVpfcyd23JSTfa3Ictykuky0r3yacEIwAppnZphnH/Km77+vutyWe3jsupyeLyRP7LCIkeYA9cr3JTrg7y2vMBtKDxwwvYWwloTpsEekpRwJX0Xeusj8GjuvB4+fqh92fcFV4VXz9OuD7yW3cfZmZjTCzrQhX4+vE5WaEumxIXKC5+8dmdglwBqE/9CFm9iHwCPBn4L4s3a3SrdOPNLO9cryHVeJy/Q7fbcdm5Xh+UVwm81dvx1YSStgi0iN+dtnut5xy0j23oUZn3RJbal9rZqsC5wBHmdlF7v4egJkNITQeO4i2luQQirOfA54Hdsly3DPN7FnCScD2hIR2YLw1m9l04Dh3T4++Niwu0w3Z8hnewfpCtGuhniE5xGBvx1YSStgi0mNigqu48a/L1J2EhF1HuHJ+L/H8VwhXnlfSVpT+erzyPpIsCRvA3W8Hbo/doSYRGprtSrgKPYiQCPeMmy+Mj/dw93uK/N66q5xjKxolbBGRypAcjrQGIBaBp7tz7ebuj2bZb1zmE7Gl9LpAjbu/6O6fE+qM7ya0wD6N0PBsDzMbFq+yndDQa0Mga1I0s3UJiXNmL09UUs6xFY0anYmIVIbd4jIFPBvvr51Y/ywZzKyBMKAKrHiBdhTwIvB7M8s2e81DifvpRm7pRmBHZOsaFQdvuRN4Bvh57rfRI8o5tqJRwhYRKWNmVmNm3yQ0EAO41d3fj/eTg4CcZWb9EvttQBhIJF2nm2wlfjOhjngj4LLYjzm932jggvjwKXefE+9PJfTpnkDoz7xGYp+V4jEnxuP2dlIs59iKRkXiIiLl4Uozm5fxXD/CYCDplvbPAsekV7r782Z2M2FI0pOBKWb2NmFo0vTV90PA14AhZjbU3T939/+Y2eGEgUhOBL5rZm8ScsJ4QjexT4HvJl5rrpntSbia3RF428xeJRTVGzCA0FVs/96eArScYysmXWGLiJSHjYBtMm6bEPph3wMcBmwV+yInHUAo4n6G8Ju+KSFB3Q3s7u47Ae/GbZf3QXb3PxAamd1KGP5zA8JoYK8T6q8nuvsryRdy93/GOM8D/kU4mZhIGPv7d8DmGX23e005x1YsNalU9U4daGavTJgwYYN777231KFIL5q9eAGb3nj+Cs/9Y49TuPKCv6/w3IGfHcyg1OfLH6917jvM+fr0FbYZ88Sx1I7sszN9ZavbFJESKVqReGzccArwHUJRzHxC8c3l7n5/F463FmE0nnxejGPFioiI9GlFSdixwcIjwJeBZYQh9kYRJlrfyczOcfdzO3nY9FB5c4B/59jm9S6EKyIiUnGKdYU9lZCsXwD2TIzAczDwG+AcM/ubu3dmbsJ0wr7Z3Y/Ju6WIiEgf1+1GZ3Ge1oMIrfEOTCdrAHe/Abg4Pjynk4dOJ+yKbdEnIiJSLMVoJX4woWP9P9z91Szr0zPIbJPsG1eAdMJ+uTvBiYiI9AXFSNhbx+UT2Va6+yzCPKQQxqrtkJkNJsw2A7rClhJb84KXWOeKD6lrHFHqUESkihWjDntCXL6ZZ5t3CP371ivwmJsQupR8AKxkZj8iDHZfD8wAbnT3v3UpWpFOqhuyEvVDV6J1TlPHG4uI9JBiJOz0CDz5BlNPd/QfXeAx08XhI4BXaRvLFsKIPcea2W+Ao919WUcHM7NXcqwaX2A8IiIiJVWMIvH0qBGL82yTnnC80BEm0gl7IHAdYQaWAYSr9DMJXccOJ8wBKyIi0ucV4wq7hcITf6HDqv1fPObz7n514vl3gQvM7B3CGLhHm9nUzOHzMrn7htmej1feGxQYk4iISMkUI2EvIBRdD8yzTXq6s4IqAeMYt3/It97MzibMQrMXYbJ2ERGRPqsYReKfxuWoPNuk664/LsLrpT0fl2vn3UpERKQPKEbCTg8bulaebdLrZhR6UDPrZ2Z1eTZJx95hozMREZFKV4yE/VRcbp1tpZmNA9IDpvw92zYZ248wszmEicb3yrPpZnGZbbAWERGRPqUYCfuWuJxsZpZl/dFx+bi7v9PRwdx9LvBhfDgl2zZm9i1Cl6ylQEXPbyoiIlKIbidsd38d+COhr/RtZpYeSAUzOwg4NT48P3NfMxtvZuub2aoZqy6Kyz3M7CIzG5DY51vA9fHhz9z9g+6+BxERkXJXrNm6TgA2jrfXzOwlQsvxNeP6M3LM1PVI3Oa3JK6m3f0GM9sE+BFwGmGglNeBlYGxcbNfAWcXKX6pEq2pVmYvXhgepGBAS/gXaGpSUwgRKW9FSdjuPtvMtgZ+DOwHTCQ0BnscuMLdO11s7e4/NrMHgeMI9eObEObGvge4xt3vLUbsUl3mLmlih9svA0Ky3ufVrQD49avPrLhhKkXNsgZqUi20zl1Ma3MTrXMXZR5OpCjMbF3CxcnXgFUIv3VPAlPd/aE8+40iDCa1FzAOmAv8jVD6+GQnY5gMPBofrt1RFaaZTQMOJVR3Tu7Ma0nXFOsKG3dfSJhC85xO7LNWB+sfBjozh7ZIUQxa1sKY534AwJyvTy9xNNKXmdnOwO2E8SqaCA1pVyIk4b3M7Ofu/uMs+61MSM7j437/IiTtvYE9zewod/9N77wL6Q3FaHQmIiJdYGajgRsJyXo6sJq7f8HdxwIHEkaS/JGZ7ZNl95sIyfohYJy7fwlYjXClXgdcY2YTe+FtSC9RwhYRKZ0jCO193gGmuPu89Ap3/yNhLgVo620DLC++nkQYafKA2LsGd29190sIQzf3A87o4filFylhiyT84LhNOPCzg9ln3rGlDkWqw9uEK+xfuvuSLOv/FZdrZjw/JS7vdPdPae+auPyGmQ3Ksl4qUNHqsEX6goaGegalPqcm1dJu3ei7D6d2xIq/fTXD9VsoXefuNxGKtnP5Uly+nvF8eqCqJ3Ls9zTQDDTGY/xfV2PsjIyGax05zN2n9Vw0fY8StkiBakcMonZkoTPECsCHG1xaB4wsdRxFMmeVV3/c/kyuB5jZcOBE4DBC4r0ksa4WWCc+fDPb/u6+zMxmEa7M16OXEjYwj9AQLpd1gPS4G+/2fDh9ixK2iPSIDze4dF/gKmBMqWMpko8/3ODS41Z59ce3dLxp18TGZecCE4ABwHvAMe7+18RmI2j77f4kz+FmExL26DzbFJW7Pw9sm22dmW1A2/DU57n7X3orrr5CCVtEesp1wLBSB1FEYwjvqccSNrAlsGHi8QhgdzP7q7vPj88li3kW5zlWeuCArhQLvZ19pOmuiV3Q7iN8H26mE91/pY0StohI+bgSOA8YCuwEXEpoIf4lM9va3ZsJXb06I9WFOP4JZGsEl7QuBZSemFkDcDfhav9p4FB370pMVU8JW0R6ypH0sSJxwsiLPcbd3493FwK/NbMngRcIDccOAqYRunKlDcxzuHSLyKYuhLJvJ0Y6y7dNLWGuiS0Ixft7uXu+UgHJQwlbRHrEKq/++JYPN7j0NtTorMvc3c3sNuAAYDJtCXsJoY57VJ7d03XXH/dgiB35BWHEtoXAnu7+YQfbSx5K2CLSY2KCy9cwqqqZ2UhgbWBmjv7UADPjchUIg6OYmRPmV1grx3H7EUY9A5hRtIA7wcyOJ7R0bwUOdPcXShFHX6KBU0RESucZQn3x4Xm2SQ+aMivx3FNxuTXZbUm4IFsMPN+dALvCzPYALo8PT3P3O3s7hr5ICVtEpHT+HJdHxKviFZjZWoTJPCA03Eq7OS6/Fa/SMx0Tlze5e69OM2dmmxNGb6sFrnf3S3vz9fsyJWyRhNYFs0sdglSXSwndr9YF/hgnAwHAzDYDHiQ0HvsrkLxKfYQwQMkw4I7YbQozqzWzUwgThywjMeBKbzCzNQgnFo2E2L/Xm6/f16kOWyThvQu3R4ONSm9x97fMbD/C8KTfAvaI9dMDCSOUQZgXe59kVyh3T5nZIcDjwHbATDN7GRhLqOtOEYb+/HfvvRsg9ApIj2RWA9wVu3XVZdn2eXc/vtci6wOUsEWSUlCzrJGa5sZSRyJVwt3vMbNNgR8T+l5PJHTFeoIw69Zv3H1Zlv3eilfhZwB7AhvH/R4AfubuhY7pXUxDE/d36mDb5p4MpC9SwhZJqGluYMjzPyh1GFJl3P0NulB8HFuWnxRv3Y3hMcJVcaHbT6Ft1rD0c5O7G4fkpjpsERGRCqCELSIiUgGUsEVERCqA6rBFOjD6rsOoHdlAzXC1HxeR0lHCFulA7cgGakd2ZYZCEZHiUZG4iIhIBVDCFhERqQBK2CIiIhVACVtERKQCKGGLiIhUACVsERGRCqCELSIiUgGUsEVERCqAEraIiEgFUMKWqlWTKnUEIiKFU8KWqjVk2aJShyAiUjCNJS5VoTXVytwlTcxevDD7BqkUg5a1ULtMY4aLSHlSwpaqMHdJE5veeH7O9YOWtXDMo68DR/VeUCIinaAicRERkQqghC0iIlIBlLBFREQqgOqwpWpN+9oU/vDGzJzrR991GLUjG6gZPqgXoxIRyU4JW6rW8P75E3HtyAZqR6rVuIiUBxWJi4iIVAAlbBERkQqghC0iIlIBlLBFREQqgBqdSfVqTTFoaTMAg5a2lDgYEZH8lLCles1fGocjFREpf0rYUnVqUimGLltE68K5pQ5FRKRgqsOWqjN02SJu/8dU5v/y26UORUSkYErYIiIiFUBF4iIJ/X+zO8PXWxNAQ5KKSFlRwhZJqBk2QMORikhZUpG4SEJdw/BShyAikpUStkhCTW1NqUMQEclKReLSp7WmWpm7pInZixcCoUvX8GVNJY5KRKTzlLClT5u7pIlNbzx/+eOhyxZx/T+vL2FEIiJdoyJxERGRCqArbKk6qVQtS1rG0Nw8ptShiIgUTAlbqs6SljGMee4HpQ5DRKRTVCQuIiJSAZSwRUREKoAStoiISAVQHbb0Gek+10lzFhfY5/o3+9E4digNqw7rgchERLpPCVv6jMw+10k1KRi2qIahS2upbW4/qUfj2KEMWX1ET4coItJlSthSFYYtquHhqSPjo++VNBYRka5QHbZUhZpUqtQhiIh0ixK2VIUhyxaXOgQRkW5Rkbj0aY/u/UNGDmyg5b1ZtF53V6nDERHpMiVs6dNGDmxg1MDBLO3fwJyMddO2WYdF/esA+NGw9g3RRETKiRK29Gmp1hStc5po/ax9kfii/nUs6h/+BTQPtoiUOyVsqWjJvtdZ+1zPW8zHX52W9xg//PF2NDT074HoRESKRwlbKlq+vteFGjx0ILW6whaRMqdW4iIiIhVACVtERKQCqEhcyl66njrVmoJ5KzYe+2zxIoY35SnOntu+sVm6dfiifnXFDlVEpMcoYUvZS9dTD29KDi8aDAYeZmT2HYHmqdPbPZdsHS4iUilUJC4iIlIBlLBFREQqgMoFpWyl665nL17YI8c/8diNGbbKKuqDLSIVQQlbylYhfazrb/0OqWH9STV9RuuC2cz/+S4sqhnCn4ZNzblPurFZY2M/Bg8eUNSYRUR6StEStpk1AKcA3wHWBuYDzwKXu/v9XTzmGsBZwC7AGOAT4BHgInf/dzHilvJXkwrzWY9oal+DM3KVUbTWL+StMzYIT/SDVE1hjcrqGkcUO1QRkR5TlDpsM2sE/gKcDawDvAIsBHYC7jOzs7twTAOeA75LaAz8IjAQOBh4zsx2LkbsUv6GLQqtw2+5fnhRj1tTqyYcIlI5ivWLNRX4MvACMN7dv+juawKHAM3AOWa2Y6EHM7N64B5gFHADsKq7bwGsClxFSNzTzWxUkeKXCtU8fzbL5n/Copqhy2+La4aWOiwRkaLrdpG4mY0HDgJagQPd/b30One/wczWA84EzgEeLvCwBwETgHeBI9x9aTzeUjM7AdgU2A44KR5bqtTM0zekqX8dfxh+Q97tTj5tEo2NKzYuU2MzEakkxbjCPhioA/7h7q9mWX9NXG4T66QLMSUub0gn6zR3TwH/Lz7cv5OxSpVqbOzP4MEDVrhpwg8RqSTFSNhbx+UT2Va6+yxgZnw4qaODmVktsGW+YwJ/i8t1zGz1AuOUPmTBxr9g/mY/JVWfZUpNEZE+qBitxCfE5Zt5tnkHWBNYr4DjjQUGdXDM94AWwpX9evGxFMnMF18pdQgAzFu6mAmzmxm6qP15ZVO/WlL96oAhqrMWkapQjIQ9Ji4/ybPN7Lgc3Ynj5Tymu7eY2TxgZIHHlE4YsP99pQ4BCF+E6aycdd2fhk3N23Xrh6dsz+AhbX2sVV8tIpWuGAm7IS7bT4vUZlHGtoUcr2jHNLNcl4zrv/vuu+y2224FhFU9mls+LXUIHZrzj/6kanLXQb/02i9VR91Nb7zxxl3uvmep4xCRoBgJu4XC68JTBR6vMwo5Zi6tS5cu5Y033lhG/iJ9KTcdjFY6f8FHvRNH7xkfl/qeilSpYiTsBcAIQt/oXNJ10oW0EFqQuD+Q3FfZBR/T3TfMtS599Z1vG5FS0/dURIrRSjxdfppvEJN0PfPHnThezmPGgVWGdeKYIiIiFa0YCTs9pvdaebZJr5vR0cHc/QNgXgfHXJ3QQrygY4qIiFS6YiTsp+Jy62wrzWwckB4w5e8FHvPpfMcE/isuZ8YELyIi0qcVI2HfEpeT44QdmY6Oy8fd/Z0Cj3lzXB5mZtn646SPOa3A44mIiFS0bidsd38d+COhiPo2M0sPpIKZHQScGh+2m9jYzMab2fpmtmrGqt8TWsOuA/zRzIbE7fub2RXAtoRi8yu7G7+IiEglqEmlutMrKoizZj0KbEzolvUSoeX4mnGTM9z9wiz7vRO3+a27T8lYtwXwEKFx2QLgNUICHwksBXZx90e7HbyIiEgFKMr0mu4+m1DffC6hEdhEQgvvx4F9siXrAo75DGFWrl8Dn8X7rcCfgC8rWYuISDUpyhW2iIiI9KyiXGGLiIhIz1LCFhERqQBK2CIiIhVACVtERKQCKGGLiIhUgGLM1lVxzKwBOAX4DrA2MB94Frjc3e8vZWxS3czse8A1wJHu/qsc2+j7K1KFqu4K28wagb8AZxMGYnmFMLvyTsB9ZnZ2CcOTKhYHC7q0g230/RWpUlWXsIGpwJeBF4Dx7v5Fd18TOARoBs4xsx1LGaBUHzObDDwIDOlgU31/RapUVSVsMxsPHEQYMe1Ad38vvc7dbwAujg/P6f3opBqZ2UAzOwd4mDCcb75t9f0VqWJVlbCBgwmTlPzD3V/Nsv6auNzGzNbIsl6kaOJEOTMIxdsAZwIz8+yi769IFau2hJ2eX/uJbCvdfRZtP5iTeiUiqWbjgNWBJwnj41/Qwfb6/opUsWprJZ6e+vPNPNu8Q5hBbL0ej0aq3fvAbu5+X4Hb6/srUsWqLWGPictP8mwzOy5H93AsUuXc/Q3gjU7sou+vSBWrtiLxhrhcnGebRRnbipQLfX9Fqli1JeyWTmyreUel3Oj7K1LFqi1hL4jLgXm2GRSXTT0ci0hn6fsrUsWqLWF/Gpej8myTrvv7uIdjEeksfX9Fqli1Jex/x+VaebZJr5vRo5GIdJ6+vyJVrNoS9lNxuXW2lWY2DkgPOPH3XolIpHD6/opUsWpL2LfE5WQzsyzrj47Lx939nd4JSaRg+v6KVLGqStju/jrwR8LwjrfFoSEBMLODgFPjw/NLEJ5IXvr+ilS3ahs4BeAEYON4e83MXiJMurBmXH+Guz9cquBEOqDvr0iVqqorbAB3n02oAzyX0DBnIqHV7ePAPu5+YQnDE8lL31+R6lWTSml8BRERkXJXdVfYIiIilUgJW0REpAIoYYuIiFQAJWwREZEKoIQtIiJSAZSwRUREKoAStoiISAVQwhYREakAStgiIiIVQAlbRESkAihhi4iIVAAlbBERkQqghC3dZmYXmdni9PzMZjbNzFJm9liB+6fibUo34zjYzFrNbOfuHEdEpBwpYUu3mNm2wCnAFe7+RonD+T3wNDDNzEaUOBYRkaJSwpYuM7N64BrgM6Dk8zC7ewr4EbAKcHGJwxERKSolbOmOI4ANgcvd/bNSBwPg7k8AfwGOMLMNSx2PiEixKGFLl5hZP+BMoAX4dYnDyXQN4bt9VqkDEREplvpSByAVax9gLPBnd/+g2Ac3s2nAoYVs6+41GU/dCXwOfNPMxrr7rCKHJyLS63SFLV317bi8t4eOPwP4W55bS9zu3cwd3X0poVi8HvhWD8UnItKrdIUtnWZmdcBX4sMneuI13P1CcjRkM7MzgG2ABcAeOQ7xBPAN4GvA//ZEjCIivUkJW7piM2AY0Aq8mme7SWaWKuYLm9n+wE/ja+/v7v/KselLiRjq3L0lx3YiIhVBCVu6Yu24nOXui/Ns9zltiTOfbQp50djn+3qgBviRu9+TZ3OPy8HASsCHhbyGiEi5UsKWrhgTlx115Xre3Sd3dLBCrsLNbF3gDmAA8Ct3/0UHuyRjG4MStohUODU6k65IjyLW1BsvZmajgfuBUcCjwPcL2G1h4r5GPRORiqeELV2RLgYf3tMvZGYDCd20xgOvA99y92UF7JpM0ot6IjYRkd6khC1dkS5eHt2TL2JmNcBvgf8C5gK7u/ucAndPxvZRsWMTEeltStjSFekGXSPMrKEHX+ciYD+gGdjX3Wd0Yt9xcdlElr7aIiKVRglbuuIFQh1xLbBVT7yAmR0JnAqkgO+6+yOdPES65fnf46QgIiIVTa3EpdPcfZmZPQLsCWxLGFWsaMxsZeCX8eFswhCjBwMDCV26Ml3g7vdnPLdtXN5XzNhEREpFCVu66gZCwv46cF6Rjz2Itu/maGCvDrZfOfnAzIYS6r2bgRuLHJuISEnUpFIqLZTOi8OTvgZMADZy91dKHNJyZvZ9YCpwvbsfXup4RESKQXXY0iVxqM8L4sMjSxlLFkcSJge5oKMNRUQqhRK2dMfvCVfZh8XBTUrOzHYEvkC4un6z1PGIiBSL1SnJowAAAKVJREFUErZ0mbs3A1OARuDs0kYDZlYL/Bx4H/hxicMRESkqJWzpFnd/CrgY+F4c77uUDgU2AQ5z947GORcRqShqdCYiIlIBdIUtIiJSAZSwRUREKoAStoiISAVQwhYREakAStgiIiIVQAlbRESkAihhi4iIVAAlbBERkQqghC0iIlIBlLBFREQqgBK2iIhIBVDCFhERqQBK2CIiIhVACVtERKQC/H8MurPlayUZbQAAAABJRU5ErkJggg==\n", 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\n", 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\n", + "image/png": 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\n", 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u7fueqrLbX2NKQn8R6ZQgsgIAETkFuwcuAt7yrtm5WN6UXKJOwokYUcf6ZoPzSYiSbrPiG77vv6ij798w/4Gn2PahkkzO/r7vnyXsZSF74RC1lCqKXlx6OK3qbl52vLh4iZ9uwuKUr02lHKTueNeHcM6JfCzxSiLOoH7X3CTvc7SIjCcaXpmRqQaxEr0bMGet3yfp+gbR8zOdIZCNwR8RcUHCXob/fImNjGnO0w+pZLSI9Iq3QkSKiPrcLMGmQetDXcc+fM0HsORtcfESOD2A5TaZjDfNoKqrsUyLYNNmXRKMLyT5dd6scEpClMi8WDpM8V7Ogve9xXEiEvehKCKXY3PQYG+oHySQM56Mfs05buiWiOxNbT+BlIZAevhj0Cd5D5lYObpQOyTwzlQKkMLjXR8mEzVf3yQiu8R2EJHdsDTZ9d1eFfZGE/5fzU6U9yLdeH4RM73Fk0Vk3wRdTyF6T4kb/pYpVPULotn2jhKRS+L1E5EzsWyaYG+WsRaHtN4nmhEFwKOeQhDBc8K9h6jie0cDfFf8vgvxjv1DRB2Mr/deQmrhZVScRDQ09KGYMO1wUrQSLGNlrfujJ/+dWDrzFoGbbojin4/6i4g8hs2pf5FoQCM4F0sh2gb4s4hcCnyPpS3tgWnXx3t9K4HzY30JfHJ2FJFrsDedzV62wmexN/IAcJGXXOnfROfMj8WiG/J922sjIoE4+2k0qvqOiNyHvZHtgtVGuJ2olr4nlrY6fKE9r6ovpGr/PmKP94GYaXwx9T/edaKqm7yHzpPYXOunIvJ/2EMpB6sZcRm1b2zJHBhXicjLWFa3AV5zxhwWPX6LZaYsxLIz3o/9vh8xs+0RWJIZMIXp3jjbyDTh86EdcIeXwvcx7G22G3ZthP0/tgKnxMlF0BT3iebAZiw18wwRuQUr7NQbS5p2gNfnI+COBmxzFaY85wOnisib2FTlfFVdo6rrROQ8rMhXIVbT5WEssmsdMNDbf7imxUJiLGOqOkVEnsTOhfHYtXwLpjD2xtIxH4xlgU1rjZJswVkSoryEzUeBnUifYidXylDV+VgRqEVeU2fshJ2OzZmfAATatm3Lgw8+WOAlBAn5/+6///6zfZv8C/DpXnvt9Q0QUtUvLrvssrBXbgBLpfuyt/1/Y29I+QceeCAnnxyxlhW88cYbwdj9bO/f7NmzfzFx4kQCgQCYE9gfsIfKVCz9cA+Aww47jJkzZx4XO/64446LeCd/+OGHPyTaT7J+qjrvhRdeaNOzZySp5GHYDaRex/vtt98Oez3z05/+9IJkv1dVn7zmmmvIzc0N/97/xaoqvg/8NhAItL788svJzzf9bMyYMWOTbe++++6LpH3Nzc3lgw8+uHl7/h89e/bcCWDnnXeWxvRT1ZeuvPLK8O8rxpSeF71j+SJm3i3o1q0bzz33XGfPdNsYWdOGqi7Arr/w//UYTLGe4f2GU7Dr5jssbfXMOJtJ+32imXAvdq0PwxSx6VhRubCCMBU4MklCqG3w0ny/5C32wOpWTMdefsJ9nsF8szZjL8HnY0mjPsIsCGEF4RssbbM/1XOYiUSTou2GKegzsHPlYOz+nerp0ayl2SoJInKBiIREpF7FVzxv2GOw2gubsDS8bUVkoYhUEn3D2C68/QzGrAflubm55Ofn06pVK4YMGcIvf/lLXnvtNQ444IC44w866CBuvvlmBg8eTHFxMSUlJVRURK1wF154IY888ggHH3wwnTp1Ii8vj+LiYvr06cPhhx/OAw88wAMPPMCECRMiY157LWnV1EaRm5vLNddcwwsvvMApp5xCv379KCkpIT8/n65duzJ+/HgeeOAB7rrrLoqK0jd9PXjwYF577TVuuOEGRo8eTadOnRp0vBvCxIkTefbZZznuuOPo0aMHBQUFtG/fnkMOOYTJkydz3nnnUV1t98RWrZK/hBxwwAGRPvvttx9dusSdHm1Szj33XJ577jlOOeUUBgwYQKtWrcjLy6NTp07ss88+XHvttbz++usMGZKOyNrU4KWzDl9/b2NWjyossdDbWMKo3ZKkNI93n6jyrHaOKBWYBe1yzGl0C/Y2PxULTzw4wQO6Ls7BFJBl2P9tJTERQ6o6GfMt+hOmxK3FMo2uxqJyLgR29zK+boOqVqrq6ZglYQp2blRgmSxvwZI2pTNaKqsIhEKZDJVNDyKyF3bBlwLnqepDDRzfFZiGmco3YzkGemFm1RrMLP1wCuT8pn///ru+8sor27spxw7AunXr2GeffQA444wzuP766xP2XbBgQUSRu/XWWznyyKbIUZQVNCZxj8PhSBPNzpIgImMxL9dkOcvr4mlMQXgT6KWqe2LmrasxZ7L7JU210B07Hi+99BKXXHIJt9xyCxs3Jk5iN316NBtwXWmi//1vKwLZrl07xo0bl7Svw+FwpItm47joedFejVWiy62je7LtjMXmLTcBPwtXy/M8cG8WqzF/OlZJ7PRE23G0HIqKinjjDYu+6tChA+ecc842fdasWcPtt5vjdEFBAWPHjk24vblz5/LMM88AcPzxx1NYmI4AFIfD4aibZqEkiEh/bK6pNzYdcD1WJ7wxJU4nep8vJkjGcT+mHPxERIpVdUsj9pF1lJWVsWpVfUoPJGfw4JZnYNl///3p1q0bK1as4JZbbmHevHmMGzeOzp07s3HjRmbPns0TTzzBDz+YY/xll11G5861E7rdd999LFq0iKqqKqZOnUp5eTmtWrVi4sSJGfhFqWH58uWsX9+wiro/+clPYpPUVHqRO1mLV+p41xRs6ntVdRkeHVlFs1ASMH+B3pin68Wq+pkXCtMYwjHgHyZY/wnmBNMKC+VrTFx91vHUU09x9913b/d2VDUF0uxYFBcXc/fdd/OLX/yCsrIynn/+eZ5/fttKsrm5uVx00UWcffbZ26wrLy/nhRdqO8lfd911dO2arsSY6efOO++MexzqIDaUcDFWWTSb6cG2cjeGs9m+MuAOR8ppLkrCUiycJll99DrxEm2EM+4tiNfHK8KzDLNSDKSZKAmO7WO33Xbj9ddf5+mnn+bdd99l/vz5bNq0idatW9O1a1f2228/TjjhBAYMGBB3/PDhw+ncuTMbNmygf//+XHDBBYwfP76Jf4XD4XDUpllGNwCIyCLsQV7v6AYR6Ug0a+HIREVCROQzYHfgalW9eTtkdNENKSBUVUP1vDKq5qwkuHITwbVbCG2pIk86U3La7gRykjvMh0IhqsoWUrlkFlVrl1Gz7gdqNq8lVFVBqLqCUNVWQjXVFHQfRMef3EBOQXET/bL0EwqF2FRVwaqtm1i9pZxVWzaxZlM5a8s3s2HLVjZVVFBeVcnmqkoqqquprglSEwxSEwpSEwpREwwSxL4Hg0FCQBdKGRsaRF4o15IfBO0e06dvew46pD85yf8fLrrB4cgimoslIVX4Y523JukX9kOoV2y0iCTKTb5N+l5H/Qmu30r5g9PZ8sI3BNfErzKd06GE4iO39ZMIhUJsmfseG6c/yabPX6RmY90Vucu/eInc1h3pMOGK7Za9qamsqWbu2hXMWrWMeet+ZN6qlSzasJofKzZQFckNlBq+ATYsr0RW185cO2f2Srp2bc3QYd1Tuj+Hw5E+nJJQm4beLZunGWYHoPKLZay75AWCq+MrB2ECJfnbtG2ZP42yJ69k63czGrzfvLY7ho9AVbCGz1Yu5t2l8/hw+bfMXvMDVaHUKgPJKK4u2KYtEIDSNtlW96nl4ZX3jptICLunrcXSxb8G3KaqdWvQWYaITAQewcrE9/K1T8Wi1/6sqokTlWQQEZmEJZx6T1XHZlYapyTEssn3PdndLGxvTv6E8lDVuCnoPAtDKryiWxSVny9lzc//BRW+jK75ueQP6kJun3bktC8m0LqQ/KHdKBwbNdaEqqsoe+Y3rHvzTogzzZbfZRfyu/Qjr10Pclt3JJBfRCCvkEB+IYHcfAq6CyW7Hd4UP7FRVAdreG/ZfJ5b8AVvL53LpqqKugd5BEJQWJ1PYU0++TW55IdyKcrJpyAnj6KcfApz8ijMyyMvN4fcnBzyAjnkBHLIy7Hl3JwAuTm55AYC9C7swLC+vQgEAuQEgECAQAB692lHn53ap+8AOBrD14A/BCUPSys+FCuHfJ6IHKyqX2VCOEfmcUpCbTZh6TcLgY5J+oXTgK5Mu0SOWtSUbWLdr1+MKgj5ubT+xb6UnDqSnLaJ9bqa8rUsv/sktsx5t1Z7yZBDaLPfGbQafiS5rTukU/S0UbZlI4/Onc5knUHZlk0J++UEA7Tf2or2W1pTWllEr+L27NyuIzt36sROXTvQsUMJpW2KKC0tpKgoL1x3w9G8+ZWqTo1t9PyzHgWOBJ4VkcENqNaYzZyJTRNvf7x3C8EpCT5UNSgiihUl6Ruvj4jkE61eOK+JRHN4bLzp3egUQ34u7f9+AoWjkqfDqNm8nqV/G0/Fos8ibQU9BtP17L9TPGB0OsVNK8s3reP2me/w7LefURncdiohJxigS3lbemxsT/et7RjZsw8inenTtx29erejsNBd/o74qOpqETkLq5EwECuO9npmpdp+VPX7TMuwo+HuEtsyA1MS9sXKCseyN3bctpKa2GhHPan8bClbX5sbWS79zdg6FYRgVQXLbz+mloJQOupUup7zEDkFO+b8+NqKzdw9810mzf2YipraRfRyggF6buxA37Wd6b21I8OH9GTEQT0YMLATBU4pcDQAT1H4GqucOJRmoCQ4Go67a2zLM1i2xhNF5Ko4GdB+4X0+3VyyLe4olD8YdTTM3607JaeMrHNM2eRL2TIvmher3aG/ovPPbtshTemhUIjnvvuSP37yMqu3ltdaV1xVwMBV3em/phs9O7Rj/8P6MXKPHhQVbeu46XA0gPAJtE1REhHJA04FTsZCwjtiieaWYxlwb1XVbaytIjIeq8I5CvN/WI/5RjwDPKSqlXHGtAF+DRwP9MfqDn2HlXy/rb4VJeM5LvocOX8EumOVJs8n6i/2NfAAMElVt3FmSpVs2UqLVRJEpA82N7U5xgT1NlYBcjTwgoicpKo/eomWrgBOw0qUNjo/gqPhVH+7ior3v4sst754dJ35D9a//zDrpz4QWW4z5qwdVkFYtmkdV0x7lg+Wf1urvbiqgN1+7MPOa7vQu0c7Dp04kMG7dq0rF4HDUScisgtmQQgSY0UQkWLgFeAgr2kR8BVWKXeA93e6iOyvql/4xl0C3OEtLge+xHy8DvT+ThKRcapa4xszCIu06ItFoC3AwtCHADcAZ4nI4aoaNTM2jgDmh3EGVtZ6HpZcb5T3J1h9IP9xaCrZMkaLVRKAx7CT8j1gbLhRVUMicqbXvj+w2DO59QS6YSFCZ6vqnCaXuAWz+fmvI9/zpDMFY/om7V9VtpCVky+NLBf125suZ923QyoILy/6it9M+zfrK6OpO3KDOQz9sTeyqged27Xm8NMGMXxkD6ccePR65OoSYNs4zB2PyqVn31SvKKpUICK5QDtgP+AW7K34z6q6OKbrbzAFYRUwQVU/9W1jL+BF7K38WuAkr70d0ZerU1X1Kd+Yw4AXsHvxScBTXnsrYAr2EH4RuEhVl3vrugEPYc6VL4nI8O207nYBfoZZBe5R1RqvcOCDWL2ey0Xk/8IhoU0sW8ZoyUpCQlT1OxEZiVV6PAbYDQt3fB34q6q+m2y8I7WEaoJsfTla46f4pGFJH/ahUIgVD59PqMJM8jmtOtD9l8+Qk79jVVOsrKnmhhlTeFxr53PosaE9ey3bhdbVRex/YD8OO0IoKGh04dNmR69Hrr4d+BX2gNvRCfZ65Oq7lp5906V1d20U79ZRtvxm4Ldx2sdhFoY/+BUEAFX9VETuA/6I3TvDCBZavhZ4OmbMf0TkRswfzD/dcC5mwv8cOMFvYVDVFSJyEjAHs1xMBO5L9mPqwb2qeqdvH1tF5FLMgpyH+aSFU+Q2tWwZodkqCarat471Y+tYvwq4zPtzZJDKT5YQLPPm4PNyKD5iUNL+G97/B1vmvBNZ7nL6HeR37J1OEVPOqi2bOP/dx/nkx0WRtryaXPZc1o+d13Whc+fWnHLaCJd3ID4X0zwUBLDfcTGQLiUhNk9CLlCKPfwKgf8BWonIpTEPwTFepFeihHJh64c/K8qL9bQAACAASURBVO1CzGehPTBJRG5V1Zm+bf4pznaO8z6f8u/fN2aLiDwLXA4czfY/iKfE2cdqESnDLA3tMihbRmi2SoKj+VDxXrTWVuHovuS0T5wNu2bLBlY9G02k1mrkMZSOOjWt8qWaOWtWcNZbj7C8PHrv7rC5NaO/F0orixk+sgcnnDyMoiJ3+SbgbpqPJaEG+z3pIlGehALs7fduTEnJBS7y9/GK3bUXkVFYmGQ/73Mk5psAvv+Bqq4UkZsxC+2ZwJkisgLzA/sP8Kr3cuZnqPd5nogcm+A3dPM+k7891I9lCdrDUwX+i66pZcsI7i7jyHoq3os6LBYemLzcxZopN0bqMAQKSuhy5t07lB/CJz8uYuJbk9jg8z/ot6YLey3rT34gl2NOGMK+o3faoX5TU7P07Jsu7fXI1dfifBIajRdh8ICIdAd+D5wvIjeq6hIAESnFHBBPJxoBATZV8DkWHr5NelJVvd4rkHcxcAD2ED3N+6sWkaeAi1U1rCG39T7DzpDJaFfH+vqwTWRFDP4Lr6llywhOSXBkNdWL1lKzeG1kufCAfgn7VpUtZN1/bo8sd5hwJfnte6ZVvlTy1pI5XPDu5Ejug0AIRi7fGVndg8KCPE6fuAeDBnfJsJQ7Bt6Dtckfrs2QFzElIRezECzxtR+EvWHfBUzHanvN9ywM5xFHSQBQ1eeB573QwQMxZ8UJ2Nv26djD9xive7m3fLSqvpzi37a9ZLNsKcMpCY6spuKDqBUhb2Ancnu0Sdh31b9/S6jaXgTy2vek/RGXp12+VPHG4m+44N3JVIcs821OMMCY7wfRa0NHWpcWcs55e9Ord9s6tuJwpBx/KuYAgDe9EA59PDKBI3ev2AYvbHIAEFDVmaq6AfMBmIJFDlwN3AgcLSJtPWuCYs6CQ4C4D2IRGYA9rBc3cTGqbJYtZTSHOTtHM6by0yWR74Vjdk7cb/lcNs6IRFTR6cT/JaewVVplSxVvL5nLhVOfiCgI+TW5HLRwKL02dKS0TSEXXryvUxAcmeJI7zMEhNOW+i/Ez4hBREqwJEtQ+0X0fGAm8LiIxJsve9P3PRyuE3YkPNdTMmL3lYdZNT7FQjabkmyWLWU4JcGRtYRCIao+j/oR5e+ZOEJh9ZS/RCo7FnQfROm+p6VdvlTw/rL5nP/u41R5tRfya3I55Lvd6FreljZtC7nwl/vSpUvrDEvpaGmISEBEjsecDAGeVdWl3nd/YqAbvCiH8LhdseRC4Tl6v5fxM9ic/1DgNi/PQHhcJ+DP3uIMX6bbe4AfsGiLl7wkeOExnb1tDva229QP4myWLWW46QZH1lKzcA3BNd60cgAKRsb3L6hcMY+N05+MLHc4+loCOdmfN2DGioWc8/ZjER+E/JpcDvpuKB22tKZV6wIuuGhfOjsFwZFe7hKR9TFt+ViCoLADzGdE09Gjql+IyDNYOubLgYkishBLyxy2MrwJHAqUikgbVd2gqj+IyDnA41jCop+LyALsObQLlkNhFfBz377Wisgx2Fv7OGChiMzGpkEEC9OsxpIzNWk562yWLZU4S4Ija6n8bGnke96ATglLQa+ZciOETfXdBlI66pQmkW97+HbdSs55+zG21lQBkBfMZezCIXTaUkpBQS7nnLe3UxAcTcFQLAW9/28YUIHNs58NjFLV1THjfoZNH3yKPUeGYw/FKcBRqnoYEE53f3R4kKpOxhwVn8VSH+8K7ATMx/wRBqvqN/4dqep/PTn/CMzCFJjBWK2Fx4A9VPW57ToKjSSbZUsVgVAoUS4MR7oRkW/69++/6yuvvFJ35xbIumteZeuLdr8oOXUEbX576DZ9qtcu57sr+oH3sO123iO0GX1mk8rZUMq2bOSYl+9lySaL2sgN5TD2u13pWt6OnJwAZ5+7F9JyoxhcbKfDkUU4S4Ija6ma9UPke36CqYZ179wfURDyOvSidJ/sTpy0uaqSiW89GlEQAsC+3w+ka7mFUR9/0m4tWUFwOBxZhlMSHFlJcFMFNYuiVbrzh3bftk/lFtZP/Xtkud24iwnkZW9p5GAoyK/ef4qZq6LTKCOW96XP+k4A7DemL3uP6pNouMPhcDQ5TklwZCXVc1ZGssIHSgvJ7bNtwrKNHz9BzUbL4hooKKHtAT/fpk82cfuX7/DG99FCVbK6O4NWmYWk3y4dOPonuyYa6nA4HBnBKQmOrKTq6xWR7/m7diUQUwI5FAqx9s1IsTbajDmT3NYdmky+hvKf72dz65dvRZZ32tKJkcv6ESBA23ZFnD5xD3Jz3eXocDiyC3dXcmQlVbN/jHzPH9J1m/Vb5rxD5dKvI8vtx/2qSeRqDAvWl/Hr96OVcTvRmr0W9CeHADk5AU47Y3dat96xylg7HI6WgVMSHFmJ35KQN6TbNuvXvnFH5HvJsMMp6JGdRdY2Vm7l528/xsaqCgCKcvLZRwdSELQUJYcePpC+/bLXAuJwOFo2TklwZB3BjRW1ijrFWhIqV8ynfGY0bLT9Yb9uMtkaQigU4uqPnufb9dGU7fsuGUjbCktC139AJw46pH+mxHM4HI46cUqCI+uo1pWR74HSQnJ713ZaXPfmXZHvBT0GUzJk2/wJ2cCT8z/lxYUzI8tjqgbSfXV7AIpL8vnpaSPIyXFpARwOR/bilARH1lH97arI97wBnQgEog/SmvJ1rP9wUmS53WGX1FqfLcxdu4LfTn8psrxrcQ96zekcWf7J8UNpmyCDpMPhcGQLTklwZB3V82srCX7Wv/8woYpyAHJadaDNvqc3qWz1YXNVJRdNfSJSk6F9QQlDvupDjpdMcOiwbozYvUcmRXQ4HI564Qo8ObKOKr+S0D+qJIRqqln31t2R5XYHnU9OYQnZxu8+mcK8ddEpk/Hrh5Gz2S61Vq0KOP7E3bLS+uFwOByxOEuCI6sIhUJUfxutJeO3JGz6/EWqVy+2hdw82h78i9jhGec/38/myXmfRpaP7TCCnPlRXfy4E4fSutSFOzocjh0DpyQ4sorgqnJC67ZElvN9loR1vuRJpXudSH6HXk0qW12s3rqJq6ZFC74Nbd+DDjPaRpZ3G96dYSPcNIPD4dhxcEqCI6vw+yPkdCwhp4NNJ2xd9Dlb5n0YWdcuy8IeQ6EQV017jlVbNwFQmJvHERuHU7GlBoCiojyOPW5IJkV0OByOBuOUBEdWUb3AN9XgtyL4fBGKdhlFcb+9m1SuuvjXt5/Vqstwfp/9Wfb5xsjy4UcOoo2LZnA4HDsYTklwZBXxIhuqN5SxcfpTkfZ2437Z5HIlY8nGNdwwY0pkeXS3XeCjaDXK3n3aMmq/nTIhmsPhcGwXTklwZBW1ciR4loQN7/+DULWlNc5t243SvU7MiGzxCIaCXPbhv9jkpV1uU1DEccE9WF22GYBAAI4/aZhLmuRwOHZInJLgyBpCodA2loRQTTXr3rk/0tZ27PkE8goyIV5cHtdPmL5iYWT5mqFHMOu9aN2JMQfsTM9ebeMNdTiyChG5QERCInJuA8f90hs3sRH7zPPGhkSkzqQnInKu17e6oftyNA6nJDiyhuAPGwmVV0aW8/p3YtMXL1G9Zok15ObR7qDzMyTdtiwvX89f/vtaZHnCTkPhi1yqq4IAlLYp5NDDJVPiORz1RkT2Av7WiHH7ADenXiJHtuCUBEfW4J9qyOlWSk5pIeveuifSVrrXieS1654J0bYhFApx3ccvRKYZ2hYUc173/flqZtSKMOGowRQVuXxljuxGRMYCbwClDRx3iDeuVRrEcmQJ7g7myBqqYzItViz5ii1zp0ba2h2SPQ6LUxbO4s0lcyLLv91zAtOmLI4s9+7TjpF79MyEaA5HvRCRIuBq4HogtwHjioFrvT/3otnMcf9gR9ZQFVPYad3b90aWC3fanaL++2ZCrG1Yu7Wc386IFm8a070/fVd3ZvmyDZG2Y44b4pwVHVmLiPQH5gG/85quBxYnHhEZJ96464EgcA2wLE1iOrIAZ0lwZA21phv6lrDx7Scjy+3GXZQ19Q7++OkrrN5qRaaKcvP5wx5H89Qd0ZLQu+/Zk536ts+UeA5HfegF9AamAxer6mcicl49xvX2xn7kjftCRC5Oo5x1IiJ5QFU9u/9DVRvkmNnScUqCIysIBUO1EilV1nxMcKslI8opbkPp3j/NlGi1+HD5t/zr288jy1fufijzpq2i3HO4LCjI5YgjB2VKPIejviwFjlTVVxs47nvgCFV9PQ0yNZYQMC3J+k5A2IO4TmuJozZOSXBkBTVL18HWaFTTpvnPRr6Xjjo1K6o9VtZUc930FyPLwzv14phOI7jjkQ8ibQeP60/bdsWZEM/hY97E3BIge2JlG0/lwEk1m1O9UVX9Fvi2EePmYdMNWYOq1gBj4q0TkVIgnM/9P8Bfmkqu5oJTEhxZgd9pkb5b2Lrgo8hi2wPOyYBE2/LQ7GksWF8GQIAAN+17HG9NmUcwGAKgfYdi9h/bL5MiOoB5E3NvB35F8/C5Cs6bmHvXwEk1l2ZakCbgnyLyz1RtzJuG+BcwDJgDnOwpFI4G4JQER1bgVxKqe34VmWEs6D2Mwr57ZEiqKMs3reP2L9+OLJ85aB/abCrhq1nRkMcjjhpMfn69ncQd6eNimoeCAPY7LgZagpIwDyiro09XoH89t3cPMB5YDRylquu3Q7YWi1MSHFlB2B8hRIiKwPRIe9vRZ2aFw+IfP32FzdXmd9ChsBVXjDyMJx/4IrK+V++2DBueHTkcHNxN87Ek1GC/pyXwJ1V9PFkHLxvkg3VtSER+A5wPVALHq+p3qRGx5eGUBEdWUD3fXiCCJcuoqVweaW+990mZEinCB8vn8/KiryLL1+55OMvnb2DRwrWRtglHD3Yhj1nCwEk1l86bmHstziehRSIiJwE3eosXqOr7mZRnR8cpCY6ME6qqofq7NQBUdZwVaS8aMJr8Dr0yJRZgzorXT4/mRNi9cx9O6DeSO/72YaRt0K5d6D+gU7zhjgzhPVjdw7WFISL7Ao8BAeBmVZ2UWYl2fJqDOc6xg1Pz/TqoDhIiRFWHryPtpXufnEGpjH/EOCv+edSxfPbJMlau3GRtAZhwlAt5dDgyjYjsArwEFAEvYImeHNuJUxIcGSfstBgsWkmocE2kvXTP4zMlEgCrt27izpnvRJbPHLQPA0u78ubr0QiwPffuTbfubTIhnsPh8BCRDsCrWE6EL4HTVTWUWamaB05JcGScqnn2pl7dTiNthTuNJK99j0yJBMCtX7zFRl8Bpyt2P4z3p37Hxo3Wlpefw6GHD8ykiA5Hi0dECjHLwUBgETBBVcszKlQzwvkkODJOtYaVhLmRtlbDJmRKHADmr1vJ4/pJZPmyEYeQV5nLe+8uiLTtf2A/2rnESQ5Hpvk1sL/3fRXwoIi0AvLj9K1W1bFNJVhzwCkJjoxTPa+MUO5WalovirS1Gn5E5gQC/vfTV6kJBQHoW9qRMweN4pXn51BZYblYSlrlM/bgXTIposPhMPzzfXvW0dclU2ogTklwZJTgxgpqlq2nuv23kGMP5dzSThT12ztjMn2wfD5vL41aNa7b6wjWr97KjI+/j7SNO3QAxcXxXlQcjh0TVe3byHGNDkFS1WosEqG+/R8CHoppux6rSulIA2nxSRCRbunYrqP5Ec6PUFO6MNJWMvhgAjmZyVwYDAX54yevRJb36dqXw/sM4fVX5kbSL3foWMKo0X0zIp/D4XA0JemyJHwvIm8AjwBTVLW+ZTwdLYzqeRbZUF0aTYhWPOiATInDi9/NYs7aaKrlG/Y+iu8Xr6uVfvnwIweRl+d8fh0OR/MnXXe6XOBIrLjGchG5XURGpGlfjh2YqnllhHI3EyyJPoSL5cDMyBKs4ZYv3owsH7vzcIZ17MmrU+ZE2lz6ZYfD0ZJIl5KwEzZHNB/oCFwCfCYin4vIr0SkY5r269jBqJ5XRnXpIgiYKT+3tDMFPQZnRJan5/2XxRuthkRuIIfLRx7K3NkrWfhdNHeDS7/scDhaEmlRElR1qar+RVUHAfsCfwfWASOA24FlIvIvETlSRJzdtoUSCoWo1rJa/gjFsn9GCjptqa7itpnRKo8/HbAnfUs78torUQfGgYM6u/TLDoejRZH2B7SqzlDVXwDdgZOBl4EgcAKWQnOpiNwkIi63bQujZvkGQuWV1JQujrQVS2b8ER6b+zE/bt4AQGFuHpcOP5gvPlvGih82Rvq49MsOh6Ol0WRv8apaqarPquqxWOrM/wHKsfrgVwLfiMj7IvKTppLJkVmqtYxQoIaakmjVx+JdRjW5HBsrt3L3rKmR5TMHjaJzYSlvvBbNADlyj5706Nm2yWVzOByOTNKkeRJEpC/wM+B4YCTR+NiZQDdgDDDai4w4yaXWbN5UzysjWLwCcqqtITefgt7DmlyOB7/5kLUVVjCwVV4BFw8by8fTFrNu7RYTKzfA+COkyeVyOByOTJN2JUFE2gA/Bc4ARnvNAWANMBl4WFVnikgucCxwDzAeuAM4N93yOTJHtZZR02ppZLmwz3By8gubVIY1W8t54JsPIsvnDd2fklAh77w5P9I2ar+d6NCxpEnlcjgcjmwgLUqC98CfgCkGRwGFmGIQBN4CHgZeUNXK8BhVrQGeE5FNwOvAcTgloVlTNa+MmlZLIstFO9eVUTX1PPjNh2zyiji1Kyzh/CH7896bC9i82VJ7FBTmcsihA5pcLofD4cgG0mVJ+AELfQxPJ3wHTAImqerSRIM8wu7kLmV0Mya0tYqaxWup2TV6OjS1krC2YjOPzPkosnzh0P1hC3zwXjSx04EH7ULr0qa1bjgcDke2kK4HcSdgC/BvbDphagPGFgEPAJ+lQS5HllC9YDUhKggWr4y0Fe28V5PK8PDsaRErQtuCYiYO3o83nleqqqyGROvWBRwwtl+TyuRwOBzZRLqUhAuBJ1V1Y509Y1DVed54RzOmSsuoKV4BAXsgBwpKmjSJ0obKrfxj9rTI8rlDRrNlbRWfzohOf4wbP5DCQmfQcjgcLZd0hUB2w/Ig1ImIXCci/0yTHI4spXpeWa1UzIW9hjZpUadJcz5iQ+VWAErzCzln8Ghef1UjRZw6diph71F9mkweh8PhyEbSpST8Hjinnn1PwJwUHS2IavXCHz0Keu3WZPveVFXBA998GFk+Z9fRrF+xla9m/hBpG3+EuCJODoejxbPdtlQR2Qk4JM6qriKSTFEIYDUehgKbtlcOx45DKBSy6YZuPktC76ZTEh6bO511vrwIPx+8H888/FVkfc9ebRk2okeTyeNwOBzZSiomXFcCfwD8d9UQ0B94sB7jA1hYpKOFEFxVTnDdZoL9/NMNTaMkbKmu5O9fvx9ZPmvwvpQt2sx3366OtB1x1CBXxMnRbPGS2i1MsDoErAW+B14DblPVsiYSLWWIyETgEWCZqvbytU8FDgT+rKrXZ0a65IjIJOAs4D1VHVvfdeliu5UEVd0iIr8B/uxr3gmoAFbEHwVYzoRNwBfAFdsrh2PHoVrLCOVvJJS3OdLWVJaEyfoJq7daIs+i3HzOHTyGyfd+EVk/YGAnBkrnJpHF4cgCvgbW+5bzgPaYhXcEcJ6IHKyqX8Ub7Gj+pMR1W1WfAJ4IL4tIEPhUVTNTrceR1VRrbafF3HY9yG2d/urhVcGaWtkVzxi0D0vnrueH5RsibUe4Ik6OlsWv4oWoi0hH4FHgSOBZERmsqsGmFi4NnAmUAKsyLciOQrriu/6Amascjm2omldGTXHUSbCw19Am2e+UhbNYXm4vTXmBHM6R/Xj8zqgVYfjIHvTq3a5JZHE4shlVXS0iZwHLgIHAYVgm3B0aVXXPpQaSFvdtVf2Dqj6Sjm07dnyssFM0iVJTKAmhUKiWL8JP+o1g8cz1rF1jRZxyclwRJ4fDj6quxqYjwKYfHC2QVEQ3HOx9/UhVt8a01RtVfWd7ZXFkP6GqGqoXrCY4IOoLVdA9/Q/nD3/4lm/WRK0XEwfsy4v3zIks77NvHzp1bpV2ORyOHYx873ObxHgikgecCpwM7I6l4q8GlgPvALd6yfFix40HfgmMwvwf1mPKyDPAQ/6aPr4xbYBfYxWE+2MvuN8Bz2HOlevq82PiOS76HDl/BLpj4fvnA7t6w77GsgBPUtVQumTLVlIx3fAW5oS4KzDP17bNwUxCKEWyOLKc6kVroDpIsDg6JZjfLf1Kwv1fR30RDuw5kJVfbqa83O5FBQW5jDvMFXFyOPyIyC6YBSFIzFSDiBQDrwAHeU2LgK+ArsAA7+90EdlfVb/wjbsEq/ALpkx8iaXxP9D7O0lExnkF/8JjBmGRFn2BGmABlvZ/CHADcJaIHK6q4bo/jSWA+WGcAazDnmf9MGVmFCDA1THHoalkyxipejDHm7ZoSAyZizdrIVRrGcG88lqRDem2JMxe8wPvLYu+0JzVb1/efzBaxOmAsf0obVOUVhkcTctVl71cAhRkWo4UUPnX247aXHe31OBV8G0H7Afcgt3b/6yqi2O6/gZTEFYBE1T1U9829gJexN7KrwVO8trbATd73U5V1ad8Yw4DXgDGev2f8tpbAVOwh/CLwEWqutxb1w14CHOufElEhqvqlu34+V2An2FWgXtUtUZEirBQ/tOBy0Xk/8IhoU0sW8ZIRQjkNgpCvDaHAzx/hKLoVENOSTtyS9Mbcuj3RRjSoTvlX1ZRWWkvKq1aFXDAQa6IU3Piqstevh34FenLKNuUBK+67OW7/nrbUZemafvviiRV0m8GfhunfRxmYfiDX0EAUNVPReQ+4I+AP7ZZsAJ+a4GnY8b8R0RuBIYB/umGczET/ufACX4Lg6quEJGTgDmY5WIicF+yH1MP7lXVO3372CoilwKnYc/LvTELSiZkywjN4SJy7EBUaW0loaCbEAikz5C0vHw9L343M7J82k77MOPjaBGnQw4bQFFRfryhjh2Xi2k+97Yc7Peki6+Bab6/6cA3WJ4bgP8B7vQsDBFUdQz2wL8/wXbD1o8SX9tCzGehPTBJRIbHbPNPqnqSqj7naw6n7H/K/xD2jdkCPOstHp3oRzaAKXH2sRoI37T84U9NLVtGaHI/AG8uaxyQC7yvqmuaWgZH5jBLQtQfoaD7wLTu7x+zp1EdsvDunq3awcy8SBGn9h2KGbWfK+LUDLmb5mNJqMF+T7pIlCehAHv7vRtTUnKBi/x9VLVKRNqLyCgsTLKf9zkS800A3/9AVVeKyM3AdVi+gjNFZAXwNvAf4FVVjc1fEI6qOE9Ejk3wG7p5n6lIcrIsQXt4qsD/zGxq2TJC2pQEEemJnQyLVfVmr20w8CY2VwVQLiLnqerTCTbjaEYE128l+OOmmMiG9F07Gyq3MllnRJZP7LE7X/87msRp/AQhL6/pKk86moa/3nbUpVdd9vK1OJ+ERuNFGDwgIt2xgn3ni8iNqroEQERKMQfE04lGQIBNFXyOZdI9PM52rxeRzzDF4wDsIXqa91ctIk8BF6tqOAtkW+8z7AyZjFQkOdkmsiIGv9mzqWXLCGlREkSkM2a26gG87Fv1d68thIXUtAH+KSKzVHXONhtyNCuqv7WXBP90Q3639FkSntBP2FRlVtM2BUUUf1VM+B7QvUcbRozsmbZ9OzKL92Bt8odrM+RFTEnIxSwES3ztB2Fv2HcRnaaY71kYziOOkgCgqs8Dz3uhgwdizooTsLft07GH7zFe93Jv+WhVfXnbrWWUbJYtZaTLkvBroCcwH4svRUT6A2Mw89n+qjpdRP6ChZRchsWlOpox1fNXEQrUECyMzjClK7Khsqaah2ZHy0FP6Lwb3/83mqJ+givi5HDUB38q5gCAN70QDn08UlXfjTOuV2yDN9U8AAio6kxV3YD5AEzBIgeuBm4EjhaRtp41QTFnwSHUfuH0b3cA9rBe3MTFqLJZtpSRrjm7CZiDynhVDXuCHul9TlPV6d7332HxqA1OvuTY8aieX2YKQo7n4xPIIb9L/7Ts66WFs1ix2Woy5Ofk0v7rNpF1u/TvyMBBroiTw1EPwvftEPCZ931n3/rPiEFESrAkS1D7RfR8YCbwuIjE09Df9H0PzwOGHQnP9ZSM2H3lYVaNT7GQzaYkm2VLGelSEvoB81R1ka/tUOxEi5wIqlqFebz2wNHsqZq/qpbTYn6nvuTkF6Z8P6FQiPt9YY8HthPWL6mILB9x1KC0RlQ4HDs6IhIQkeMxvzKAZ1V1qffdnxjoBhHJ943bFUsuFJ6j90c3PIPN9w0FbvPyDITHdSJaSXiGz6H9HuAHLNTwJRHp4xvT2dvmYG+7Tf0gzmbZUka6phuKga3hBU+jCleEnBrTt4SGZWd07ICEQiGbbihcG2nL75Ke/ATvL5/P3LVRB8Uuc6M+Q7sN706fndqnZb8Oxw7IXSKyPqYtH0sQ1MVb/gz4RXilqn4hIs9g6ZgvByaKyEIsLXPYyvAm9mJYKiJtVHWDqv4gIucAj2NT0j8XkQXYc2gXLKRyFfBz377Wisgx2Fv7OGChiMzGpkEEKMSs1qc2dTnrbJYtlaTLkrAc2NmnYR4AtMacFcNTDeEIiH64ipHNnuCqckLrtxIsjKYxz+u4U1r25bcijCzpAyvsNM/JCXD4BFfEyeHwMRQYHfM3DMuT8DJwNjDKyxXg52fY9MGn2HNkOPZQnAIcpaqHEb2vR3IEqOpkzFHxWWyqeVdgJ8x/7UZgsKp+49+Rqv7Xk/OPwCxMgRmM1Vp4DNgjJrdCk5HNsqWKQCiU+pd4EXkYOAsLkZmERTXsjSWdOM3r0wVLvXkgcJ+qpjNhSFYiIt/0799/11deeaXuzjs4FR8tYu25/2Jz/8lUdzCluuPxf6LjMdemdD9fr17G4S/dFVk+6ofdaVNmFs999u3DCScPS+n+HCnHzQM5HFlEuqYbbsbyb//a+wsAVV47IrI/lkAjF6sAtl3zNZ6jzFXAKZi5ayNmIrtdVV9rxPb6Yr4SyZipqiMauu2WSvV8L/yxwDfdxcEbDQAAIABJREFU0Cn1iYz+7ivk1De/E6Vl5k+Un5/DuPHpTdzkcDgczY20TDeoqgKHYaaoCqw62DGqOsvrshxTUL4GRsc4ODYIz/nlHSxSoh8Wq1vu7f9VEfldIzYbThe6htopS/1/X8Qf6ohHWEkIpXG6Ydmmdby0cFZkue/iLgS8F9MxB+xM27auiJPD4XA0hLRlXFTVj7HymvFYCIzwKQ3bwz3APljJ0WN8GcHOAB4Gfi8i01T1rQZsM6wkPKOqv0ja01EvqhetIZRTSSh/U6Qtv1PflO7jH7M/pMZLwdwxpzXdVpmDYnFxPgcevEtK9+VwOBwtgYzkNlfVYCoUBK/e+emYN+lpYQXB28c/gZu8xd83cNNhJWGH9UjNNmoWrSVYELUikJtHXvvURb6ur9jCZP0kstxveVdyPCvCQYfsQklJc8jQ63A4HE1L2gs8ef4Cbb19JXRKUtXGRDicgfk1TFPV2XHW3w9cD4wWkT4N2EdYSfi6ETI5Ygiu30pwzWZCbaP+CHntexHISV3dhMd1BuXVlnK5hAL6rrLorTZtC9lv/52TDXU4HA5HAtJZ4OkILDnG8Lr6YnkSGiPLvt7nh/FWquoyEVmMhdgcCPyzrg2KSGvMtwGcJSElVC+yvCh+S0Iqpxoqa6p5ePa0yPLOK7uQHzQFZNxhAykocEWcHA6HozGkq8DTGOAlbDqjPiFNjQ17Cuf0XZCkzyJMSaiva/swT57lQGcRuQIrbJIHzAOeVNVpScY7YqhZbBaEoD+RUsfURTa88N2X/LhlIwC5oRwGrrJpjE6dW7HXPr1Tth+Hw+FoaaTLknAVNg0wC/gDMIdoPe5UEs4IlqxwRjgJSKd6bjNs+WgPzCaaQxwsg9gvvTwQF3pppetERL5JsKpFeNNVL/QsCT4lIS9FloRQKFQ77HFNZ4qrzf/g8AlCbm5G3G4cDoejWZAuJWE/LC3zeFX9MU37gGhe8K1J+oSVk5IkffyElYQiLAnUXcC3WN3zM7BQy3Ow0M6LGiJsS6VmkSkHoVrTDamxJLy7bB66LnqKDVpl5Z979mrLbsO7p2QfDofD0VJJl5LQCvgmzQoCWNnp+r4q1je15AfeNr9Q1ft87d8DfxaRRVju8QtF5J7YFKLxUNUh8do9C8Ou9ZRrhyXik1BruiE1ORLu/+q9yPeeGzrQtsJ0wQmuiJPD4XBsN+lSEhYDXdO0bT+bsGmBZFlywiU8N9dng15u8cnJ1nsJmgYAx2LJmxwJCAVDVC9eSyhQTSh/Y6Q9FdMNs1Yt5aMV30WWB5eZFaH/gE4MEFcK2uFwOLaXdE3Y/gvoISKHpGn7YcJ1hzsm6RP2RViZwv2Gsy262Lo6CK7cBFurbaoh4BlzAgHyO/Ta7m37fRE6bm5N5/I2gJWCdjgcDsf2ky4l4UbsDfsxETlWRArTtJ853mffJH3C6+bVd6Miki8iyeLmwsetXo6LLZmapVaFtlb1x/Y9CeRtX3KjJRvX8PKiaITq4LJeBAiw69Cu9O7TLslIh8PhcNSXdE03PAQsxUpoPgfUiMgaoDJB/5CqNmaSegZwDNF8CbUQkV5A2EPuo7o2JiLtsXDK9sAJmOzxGOl9xkvg5PBRs8yUA39hp1TUbHho9rRICubWFUX0Wm/GpENdESeHw+FIGemyJJwCHO59D2DKSBegV5K/xvAv73OsiEic9Rd6n+/Vp4iUqq4FVniLE+P1EZETsdDFShIrEQ6P6iVhS0LqciSsq9jMk/M+jSwPWtWDHAIMHdaNnr3abte2HQ6HwxElXZaEs9O03Vqo6nwReQL4GfCciByrqt8CiMjpwG+8rv8bO9ar+5APrFfVH3yrbgQeA44WkRuB36tqhTfmROARr99fVXV5On5Xc6JmmSkJ/uqP25tt8XGdwWYvBXNhdR791piPrLMiOBwOR2pJi5Kgqo+mY7sJuATYzfubKyJfYdMFYZv2dQkqQL7t9XkUn9VAVf8pIsOAK4CrseRJ87FojZ5et4ewfAmOOoj4JPinG7YjR0JFTTUPz47OHA1Y3Z28UC7DRnSne482jRfU4XA4HNuQ9gJP6UZVV4vIvsCVwMnAYMyh8D3gTlVt8JSAql4pIm8AF2P+DsOANcDLwP2q+kqq5G/uhC0JtaYbtsOS8PyCL1jppWDOCQYYuKo7gYCzIjgcDUVEBmAvQodiyeLWANOBe1T1zSTjOmKF847FporXAtMw6+r0BsowFnjXW9y5rmlhEZkEnIVNIY9tyL4cjSOtSoIX1TAROBoYBLRV1c4i0gn4G/C3BNUbG4SqlmPloH/fgDF961j/FhDPAuGoJ6HKaoI/biREDaGCDZH2xiZSCoaCtcIe+63tSlFNAcN370HXbqXbLa/D0VIQkfHA81gemc2YE3Zn7MF/rIjcoqpXxhnXFVMIdvHGzcIUheOAY0TkfFV9uGl+haMpSFtiexEZCMwE7gUmYJUVO3ird8K0wf+KyLHpksGRWWqWb4QQpiAEgpH2vEY6Lr6zVJm/3kt3EYJBZT0JBGCcsyI4HPXGe0l7ElMQngJ6qOoIVe0JnIZlsr1CRE6IM/xpTEF4E+ilqnsCPTCLRC5wv4gMboKf4Wgi0qIkiEhb4A2s8uL3wP9Ru1LjemAulinxGREZmg45HJklEv7om2rIbdOVnILiREOScv/X70e+99rQgTaVxYzcvSddurTePkEdjpbFuZjf1iJgoqquD69Q1SeAB73FC/2DvKmBA7FMtz/zosFQ1aCq3oylq88Hrkuz/I4mJF2WhMswa8HLwGDPbBUOLcSLQNgNeAE7qf4nTXI4Mkg8p8X8To2baviybAnTVyyMLA8us6jZg8b1TzTE4XDEZyFmSbg3HLkVwyzvM/Zineh9vqiqq9iW+73Pn4hI494EHFnH/7d353FyVOX+xz+zJJkkZA8hC9lDnoQlQCAJkABBEUFlcUdBAWX9CSgq6lWvwr1eVFAusil4RRBEdhXZUTYJ+74kPAFCFkISspFMyDLJTP/+OKd7ejrVPT2TnpnMzPf9euVVU11Vp051d7qeOmtLtUn4DKHx4MnunjhDo7vXmtmpwBHAIS2UD2lDSd0fK5sZJGS3RRj4YS92XN+b3fcYrLYIIk3k7jcTqg3y2Tcu38x5PT1o3eN5jnsG2EKY4G9fwmR5LS6n8WNjTnL3a1suNx1PSwUJYwizQBacL8HdV5iZExo1SgdTPyTzts3+uLB6FXcvyB6COfREVSmCSOmYWV/gm4RxbrYAv8zaVk74XYeGVccZ7r7ZzBYTSiDG00pBAqH6elaB7WOA9LzxC1s+Ox1LSwUJddTPvtiYciCpyEvaudrFoUdDXdesgZSaEST83+uPU5cKk0PtsKmKYWsHMN521BwNktfSXS/qAWzbBCHbh5rBs88tagbb5ooNFM8HxgHdgEXAGe7+WNZu/ai/XywvkNxKQpAwsMA+JeXuLwIzkraZ2a7UD8n/X+7+UGvlq6NoqSDhLWB3Mxvs7kvz7WRmw4FdCb0gpIOpXRqChFS37IGUmhYkrNm0gZvefC6zPmHFMMopUymC5LV014suAc6iBXtvtaK6pbtedNng2ed+qwXPMRXYLWu9H/ApM3vM3dPzu/fI2p5YhRxtSNi/WO8kj67fPLG75j1AH+AWmtBFXuq11H+ivxICkCvMrCxphziGwh8Iczvc2UL5kDaSqqmlbsWHpKhrWJLQxCDhz3OfyQzB3HVLJWNWDWLU6H6MGdu/kSOlEzuTjhEgQLiOM1v4HJcBOxC6Mp5IuNGfDjxkZukHydompplqRj6eI1QbFPpXsAo7zcx6AP8glGo8A5zg7s3JU6fXUiUJlwBfA44BnjazmwkTPGFmRxBmhzwZ2AVYAlzaQvmQNlK3fF0YI6HLOiiv/31pSnXD5rparpldX9WYHoL5kEPHUVaWGHuKAFxOxylJqCVcT4tx93fjnx8C15nZU8BLhMaHxwPXEro9plUVSC5dzdycKpLPN2HExUL7lAM3AlMIVSdH52tAL41rqbkbqmMw8A/CF22frM13xWUZIUA4Kt3fVjqO2qWhlDK70WJ5z/6Udy++N8I/3nmFpetDlUV5XRnjVw5h6LDeTJg4qLSZlQ5l8Oxzv7V014t+iNokNIu7u5ndQZg4byb1QcImQpuFAQUOT7dFKOqJv4VcTBg58kPC/SVvlbc0rsWGZXb3N8xsT+AUwpCduxHqhj4EnBBAXOHuH+RPRdqr2mUhSEg1c4yEVCrF71+v72k18oMd6b6lK4d8VKUI0rh4Y23Vm2t7YWb9gdHAgjzjHQAsiMvBEAZMij3RJgGj8qTbhVBlATC3ZBluAjM7i9BDow44zt1faot8dCQtOneDu68HfhP/SSdStyRdktC89ghPLXuHV1cuzqxPWDGMfv27s/ukwaXLpEjn9CyhW+D3gQvz7JP+z7o467WnCUHC/oT2ZLmmEu4pG4EXS5LTJjCzIwlV3QA/cPe/t3YeOqKSBwmxQeKBhGKqEYSiqRRhprA5hIE4/q1GJB1buiQhu7qhsgntEa7OGjxpcHVf+m3syYGHj6aioiNUM4u0qQcIDRNPNrP/dffN2RvNbBSh9BdCiW/aLYSS4c+Z2ffcfVVOumfE5c3uvoFWZGb7EEaRLAf+6O4Xteb5O7KSBQmxqOmbhOg0u+l5GVu3dH3PzH5OmHa5DulwMm0SujZ9iuh5a5bz4KI5mfUJy4dRVVXJvtOaNzGUiDRwEaHx3y7AjWZ2Rrrawcz2Jkz61B14DMh+Gv8XoYfBdOBvZvZ5d18WGwp+lzA51GayBmFqDWY2ghDM9CTMGXRaa56/oytJkGBmvQnzMBxMCAoA1hImEKkmNCDqQ6gH6wIMI3S7OdrMPhOnepYOpC7dJqHBaIvF3eSz2yL02diDIev6Mu2QEVRVtWjtmEin4O7zzOwLhKGZPwccGdsbVBFGSgR4Cvhsdomvu6fM7KvAo4TS4gVm9hrh93ww4WHwJHevj/Bbx+XUj6hYBtwZu0BWJOz7oruf1Wo56wBK9at7C6F6oRa4CrjK3V/N3cnMuhLqrU4hRJ2HAtcT5nqQDqR2STUpUg3GSChmIKVVGz/k1rdeyKzbiqFUlJcz/aDRLZJPkc7I3e+KDcvPBQ4DJhIaej5OmM3xmtxqiHjcvFja8CPgKMJEfeuB+4AL3b3YORRKqXfW34c1su+WlsxIR1SWSm1b0wAz+xRhMKS1wJHuXtR43WZ2MPVFRIe20ZerTZnZ6+PGjdv17rvvbuuslFSqppZle19MXcU61k3+Web1sVesoKJnv4LHXvryQ1z4wgMAdNvShWPmTGHfycP50vF7t2ieZbuhrisi25FStAI7nlDMdE6xAQKAuz8K/AfhR+G4EuRDthO16YGUssdIqOpFeY/Ccy1sqt3CtXOezKyPXzGEilQ5Bx48psBRIiLSUkoRJEwmDLJxQzOOvZZQRTG1BPmQ7URdptFidlXDqEbHN/j7vJd4f0M4tryujF1WDmbMuAHsPLxPy2VWRETyKkWQMBiYl1R/1ZjYYHEeoaukdBBJoy021mgxlUpxdVaDxdGrB1FV25WDZqoUQUSkrZQiSOhOmM+7uVYT2iVIB1GXECQ01mhx1pK3eWN1/eipE1YMY+COPTUEs4hIGypFkFBB02cIy7a5RPmQ7US6JCHVYPbHUQWPyZ7IacjafvTZ1IPpM0ZRXq52bCIibUU3Zym5pNEWC1U3LKxexYOL3sis28ohdO1WwT5Td265TIqISKMUJEjJ1S5Nj5FQ3GiL1815klQclLPXpiqGVPdj3yk7U1XVpaWzKiIiBZRqMKU+ZnZQc48tUR5kO1G3tBoqNkDlpsxr+dokrN9cw01vPptZH79iKGWUccAMDZ4kItLWShUk7A50usGQZGupmlrqVn5IXff69ghlXbtT0WvHxP3vePtF1tRsBKCytoIxqwexy/iBDNpph1bJr4iI5FeqIGFbW5dpRsgOIj2QUoOqhgEjE8dISKVSXDOnvsHimNWD6FJXyQEHjmqNrIqISCNKESSoXFgy6pYkTRGd3Ghx1pK3mfvB+5n18SuG0q9/dybuulPLZlJERIqyzUGCuy8oRUakY6jNzP7YePfHP855IvP3kLX96F3Tnf2nq9ujiMj2Qr0bpKRql64FcqobEhotLqxexQML62eUtZVDqOxSzpRpw1s+kyIiUhQFCVJSdUvXhWVWSUJSdUNSt8e9Jw+jZ8+urZNRERFplIIEKal0SUL2DJC51Q35uj1OV4NFEZHtioIEKanaZetIlW8iVbk+81ruGAlJ3R5Hje7P0GEaMkNEZHuiIEFKqm7J2gZVDVR0obLPkMxqKpVq0GBR3R5FRLZfChKkZMJASutzxkgYQVl5/dfsiSVv4x8sy6yPXzGUXr27scekwa2aVxERaZyCBCmZ2vfT3R+zx0hoWNVwTUK3x/32H0lFhb6KIiLbG/0yS8nU92xYlXmty46jMn+H2R4bdnusqChjvwPyzxApIiJtR0GClExmjITsIGFg/YCc173xFHWpht0e99hzCL16V7VuRkVEpCgKEqRk0qMtZjdcTJckrN9cw01zn8m8Xt/tUaN6i4hsrxQkSMnUz9uQXd0QgoA75m3d7XHYzn0YMbJv62dURESKoiBBSqZ2WTWpio1QuSHzWpeBo0K3x9kJ3R5njEqcHVJERLYPChKkZGqXVjcoRSjrUkVFn8HMSuj22KNHF/bae2hbZFNERIqkIEFKpi4nSOgyMJQUXDN7Vua1dLfHqfuNoEvXirbIpoiIFElBgpREqmbLVgMpVe44ivlrV/Lgojcyr9mKoZSVwX7Tt54ZUkREti8KEqQkapeFMRIaTuw0muveqJ/tsffG7gxZ15ddd9uJ/v17tEk+RUSkeAoSpCTqlm3ds2Fz/5HcNDdrtseVQyijjANmjGrt7ImISDMoSJCSqM10f6wvSbirsifVmzcB0KW2gtGrB7HjoJ6MGz+wTfIoIiJNoyBBSqJ2WTUpUpmShDrgxjX1AcOYVTup26OISDujIEFKom5pNanKD6FiMwDP9xvFvPWhdIFUqGqoqqpknyk7t2EuRUSkKRQkSEnULllLXdXKzPodI6Zl/h5W3Z9eNd2Zuv8Iqqq6tEX2RESkGRQkSEnULl5DXdUKABZ178fTfetndrQVQykv1zwNIiLtjYIE2WapVIrad9dQ1y0ECX8dNjmzrc/GHuy0rg+T9hpCv37d2yqLIiLSDAoSZJul1mwktX4zdVUrWVtZxX2Dd89sG78idHs88OAxbZhDERFpDgUJss1q310DQF3VCu4cuhcbK7oC0G1LJaNXD2L0mP4MH6HZHkVE2hsFCbLNahevIUWKDT1WN6hqGL9iKJWpCg6aqVIEEZH2SEGCbLPad9eQ6rKOB4aOZ3XXngBU1JWxy8ohDBjYg4m77dTGORQRkeZQkCDbrPa9NWyuWsEtO0/JvDZm1WCqartw0MyxlJdr8CQRkfZIQYJssy3vruGR8RtY3KMfAGWpFBNXDKN3n25MmabBk0RE2isFCbLNtixeww2TembW91m5mh1qqjj4kLFUVla0Yc5ERGRbVLZ1BqR9S6VSPFO2gjkDd8i8tt/SOjb17Mq0/UYUOFJERLZ3KkmQbVK7fB1XTanOrE9evYCeG4dx4MwxdO2mGFREpD1TkCDb5PHZr/Hi8C2Z9a8seIINPcey//SRbZgrEREpBT3qSbOlUikuWfBEZn3v1QuYuGYFA47bj+7dNZGTiEh7p5IEabYnlrzNc3XLM+snLJhFdddRzDhIgyeJiHQEChKkWVKpFBe+8EBmffLqBUxas5ieoyapLYKISAehIEGa5e4Fr/H88oWZ9RPmzwJg2N5T2ypLIiJSYgoSpMk21W7h58/dm1mftmI+e6xdDEDViD3aKlsiIlJiChKkyf70xpMsqF4FQFkKzpj3r8y2bsMntVW2RESkxBQkSJOs3rSeS156KLO+9/IyRmwIAUPlgBFU9h7UVlkTEZESU5AgTXLBc/eypmYDAJW1FRyzaH5mW9XofdsoVyIi0hIUJEjRnlw6j7/MfTazvvv7wxm7/o3MetXoKUmHiYhIO6UgQYqycctmvj/rjsx63w09mfD+YAZteTPzmkoSREQ6FgUJUpTLXnmYeWtXAKGx4rR3xzFphVNRHqoeKCunm4IEEZEORUGCNOq5ZQu4/JVHMuvjVwxl2JY+7Lfs6cxr3UZNpqJ77zbInYiItBQFCVLQmk0bOPOxv1CbqgOgZ003Ji0byScGdKeye31VQ48JM9sohyIi0lIUJEhedak6vvXvW3h33QdAqGaYvtCYMW00u7z5Plt6v5PZt8fEmW2USxERaSkKEiSvi154kAcXzcms77FsJJP67cyRR05k49xZUBnbI5RXUrXL9DbKpYiItBQFCZLoxrnPcNkrD2fWh63tz34bxnLi16dQ9vZKNnd/ObOthx2s9ggiIh2QggTZyj/eeaVBd8c+G3tw0JIJnHTyVPr2687GR99mc7/Zme077PvptsimiIi0sA4xp6+Z9QC+BxwLjAaqgeeBS9z93kLHFkhzBPAT4HBgELAc+Bfwc3efU+jY9uzmN5/j3MdvJxXXu2/uykcW7capJ+3P8BF9AVj36H2keqzKHNNz8lFtkFMREWlp7b4kwcx6Ag8BPwXGAK8DHwKHAfeY2U+bkaYBLwBfB3YAXgaqgK8AL5jZx0uT++1HXaqOi1/8J995/DbqYojQdUslhy7Yg/933Ax2sR0BqH1vLRvX18ddVSMPoEu/YW2SZxERaVntPkgArgCmAS8BY919sruPBL4KbAHOM7NDi03MzCqBu4ABwPXAEHefAgwBLicECzeZ2YDSXkbbWbFhHcff80cufumfmdeqNnfhE4v35rsnfYSJu+2UeX3drY+yuf+rmfW+nzirVfMqIiKtp10HCWY2FjgeqAOOc/dF6W3ufj3wi7h6XhOSPR4YBywETnb3DTG9GuBs4N9AX+Ccbc1/W6tL1fGXOc8y4+aLeOz9+jEPdthUxRdWTePHpx3G2HH1sVCqZgurH/sVlG8BoLxLf3rtc0yr51tERFpHuw4SCMX/FcCT7j47Yfvv4nJ6bGNQjBPj8voYGGS4ewq4Kq5+qYl53W7U1tVx62vPM/2GX3HuU7ezLrUps23o2n58p9vH+cm3Ps7gIb0aHLf66uup2eGJzHr/T/4HZZVdWy3fIiLSutp7w8X94/LxpI3uvtjMFgAjgYMJ1Qd5mVk5MLVQmsCsuBxjZsOzSy+2Z6lUiifnz+PPrzzLIyudNWUbGmyvrC1n6gfj+OFHP86eew2lrKyswfYNL7zAyie/A13CyIsVlUPp96kzWy3/IiLS+tp7kDAuLt8usM98QpAwvoj0hgHdG0lzEVBLKMEYH9e3K9XrN/La4vd4fekSfOUyXvlgMfO2vM+Gis1hh4b3f0at3ZHTxxzEZ4/bi+7duzTYVlezkdU3/5ZVD5xHqsu68GKqnMGnXatSBBGRDq69BwmD4nJ5gX1WxuXAJqSXN013rzWzNUD/ItNstuq1G3n5xfdYv34zb2xcwpxNS9lUu4Waui1sTtVmlhtqa1hXt4n11LChrIaNFZu3CgSoaLhaloJxGwbz1TH78YXPT6bnDl1Jbalh7azr2fjmi9TMfpstaxaxeeNcUmUbGhzfb98f03PKR1vy0kVEZDvQ3oOEHnG5scA+6XL1HgX2yU2vlGliZq/n2TRh4cKFfPKTn0zcuGrlejZvrqW2rI51XTdufeNPUEZ9UchWUlCZqqBHRVd6d6uie7eu3Fb2ILddHjbXVi9ny9r3cw7KjoPKqOi2I5XLn4H7kvMssi3eeuutO91dA2+IbCfae5BQS/GNL1ON70JtE89fTJqF1NXU1Hz41ltvNVplUaoWpnXAuvgvWbfCCWxYAx+sybd1bFwWqv6RtqXPSESK1t6DhHVAP8LYBfmkH6zXF5leWhX5SxOakibuvlsx+7V36RKTznK97ZE+IxFpivbeBXJFXBYa2ChdXp5bjl4ovbxpxsGW+jQhTRERkXapvQcJ6TkURhXYJ71tbmOJuft7QLosPV+aw6lvxtdomiIiIu1Vew8Sno7L/ZM2mtnOQHoQpSeS9knwTKE0gQPickEMKkRERDqk9h4k3BqXM+OkTLlOj8tH3X1+kWneEpcnmVnSQADpNK8tMj0REZF2qV0HCe7+JnAjofj/DjNLD66EmR0PfD+u/iz3WDMba2YTzGxIzqYbCC2/xwA3mlmvuH9XM7sUmEGokris1NcjIiKyPSlLpba1F1/birMxPgzsQejC+Cqhx8PIuMuP3P2ChOPmx32uc/cTc7ZNAR4kNFBcB7xBCBr6AzXA4e7+cOmvRkREZPvRrksSANx9JaH9wPmEhoQTCT0THgU+mxQgFJHms8CewB+AD+LfdcDtwDQFCCIi0hm0+5IEERERaRntviRBREREWoaCBBEREUmkIEFEREQSKUgQERGRRAoSREREJFF7nwVSWoiZ9QC+BxwLjAaqgeeBS9z93mamOQL4CXA4MAhYDvwL+Lm7zyl0rCSLQ49/h/CepscGeQe4C/i1uxc9CVkcYXQd0KXAbmvcvW8zsysi7Yy6QMpWzKwn4eY9DdgMvEYYeyI9D8Z57n5+E9M0YFZMZw3wJvUDVG0EjnH3+0tyAZ2EmR0I3An0JQwk9hZh9NHRcbkU+Li7v1JkensCLxGmQH8xz27V7n7ENmZdRNoJBQmyFTO7FjiBcMM4yt0Xxde/AlxDKIH6mLv/s8j0Kgkzdo4DrgdOc/cN8cn118CZhEGrxsXBsaQRZtaXMHjYjsB9wNfcfUncNgb4EzCdUKqwq7tvLCLNrwLXAfcpEBARUJsEyWFmY4HjCSNMHpcOEADc/XrgF3H1vCYkezwhQFgInOzuG2J6NcDZwL8JT8PnbGv+O5ETCQHCe8AX0gECgLvPAz7ONhTnAAAUM0lEQVQNrCaUKnyuyDT3jMtXS5dNEWnPFCRIrq8QiqqfdPfZCdt/F5fTYxuDYpwYl9fHwCDD3VPAVXH1S03Ma2d2SFze5e7VuRvdfTn106NPKTLNdJDw2jbmTUQ6CAUJkmv/uHw8aaO7LwYWxNWDG0vMzMqBqYXSJLRVABhjZsOLzGdn9zPgq4Tqn3zK4rKiyDRVkiAiDah3g+RKT7f9doF95hNa0o8vIr1hQPdG0lxEaHhXEdNclGc/ieIkZM/m225mA4GZcfX1xtIzs6HAQMLnUG1mPyI0XO1BaNdwR3N7tYhI+6UgQXINisvlBfZJNy4c2IT08qbp7rVmtobQ06GYNKVxvyHc4NcTZi9tTLoUIUUoSajK2X6ymd0NfCmpekNEOiZVN0iuHnFZqDX8hpx9i0mvlGlKAWb2Y+DLcfW/ihwrIR0kVAL/APYllAANBr5BGCfjk8DNpc2tiGzPVJIguWopPngspv9sbRPPrz6528DMfkp9z5O/AxcWeegrwG+Bpe7+X1mvbwSuNLNXgMeAI8zsCFU9iHQOChIk1zqgH1sXN2dLtzFYX2R6aVXkL01oSpqSI45FcQVwanzpfuDY2HukUe5+D3BPge2Pm9k/gY8RulcqSBDpBFTdILlWxOWAAvuk2w0UU4y9IuvvxDTjDa5PE9KULGbWm3CDTwcINxMGwWp0AKUmSo/COLrE6YrIdkpBguRKz6EwqsA+6W1zG0vM3d8jDMNcKM3h1HfTazRNqRfnbphFeMIHuIjQuLAm/1F506qIAVs+6d+LzU1NW0TaJwUJkuvpuNw/aWO8KaUHUXoiaZ8EzxRKEzggLhfEoEKKELstPgLsTmj7cYa7f6/YKoactOYTbv5nF9htclwmDbIlIh2QggTJdWtczoyTMuU6PS4fdff5RaZ5S1yeFOdryJfmtUWm1+nF9/FOYCxQA3ze3X9X+KiCZhMGXzo+qTTBzKZSP8rjTdtwHhFpRxQkSAPu/iZwI6H4/w4zSw+uhJkdD3w/rv4s91gzG2tmE8xsSM6mGwgDKY0BbjSzXnH/rmZ2KTCDUCVxWamvpwP7PrBP/Psb7v7XYg4ysxHxM8odUvuXhJ4lewP/F9s5pI+ZSegpUQbc4O7PbWvmRaR90CyQshUzGwA8DOxBKMZ+ldDjYWTc5UfufkHCcfPjPte5+4k526YADxIaKK4D3qB+quga4HB3f7j0V9PxxFKEpYTPZAv1VUT53JP+vMzsEcJw2o+6+8ycdM8GLiYEiBsAJ3xe6YaK9wCfbYEGkSKynVJJgmwlTte8P3A+oSHhRELPhEcJN4mtAoQi0nyWMGDPHwjTQu9JmGnydmCaAoQm2YMQIEDoxjy9kX/FDJ+Nu19K+Nz/AqwCdiMECQ8RJv76lAIEkc5FJQkiIiKSSCUJIiIikkhBgoiIiCRSkCAiIiKJFCSIiIhIIgUJIiIikkhBgoiIiCRSkCAiIiKJFCSIiIhIIgUJIiIikkhBgoiIiCRSkCAiIiKJFCSIiIhIosq2zkBrMbMTgT8249BH3X2mmY0C3omv7eLub5Uqb4WYWSUwxt3ntsb5WoOZpWcV+5i7/7NNMyMiInl1miABWAbMSnh9BDAc2AQ8l7D91ZbMVCFmdhhwKXAb8OO2yoeIiHROnSZIcPd7gXtzXzez84CfAkvdfUZr56sRPwSsrTMhIiKdk9okiIiISCIFCSIiIpKo01Q3lFiZmZ0AnApMAlKAA38ArnL3VO4BZtYNOB04FtgV6AosBO4GLnL3JVn7nkjDRpY/MrMfAde5+4lZ++0F/D/gQGAYUAWsBp4HrnH325p6YWY2OKZ5DDCaEEg68BfgUnfflHDMZ4GTgX2BPsBK4AngCnd/qJHzHQl8Mx7bBZgH3Aj82t1rEvavAI4HTgD2AnoC7wEPEt7HN3P2H0VocLoMmAz8HvgIsAG4z92/nLXvQcDZwHRgAOG9fDJe91bXYWbzgZHARGAn4HvAfjFP7wC3xDytSzi2DDguXsceQH9gCfAv4Oe51xGPGQN8FzgM2BnYSGgzcx3wR3evzT2mMWa2J/Bt4JB4DesIbXOudvfbE/Z/BDgYOCLm90dxvS+wGPg7cIG7L89zvqMJ/2+mxGOWA48Cv3L3FxL2T/9fGgz8mvC9rCV8xw9z9y1xv88B3wB2B3oArxDa8zxJ+CwWuPsoMysn/L8bBnzH3S/Ok8/fE77Tv3P3M5L2EekMVJLQPP8HXEu4OcwFNhNucr8lBAoNmNkQ4CngEmAasAqYTWg0eQ7wmplNzzok3chybVxfFNfnZqV5BuGH8hTCj/tbwNuEm/QRwK1m9j9NuaiYh5eB/4zXNi+eey/gQuA+M+uatX8XM7uD0LDy8Pg+vEQIPj8D/MvMEn+Eo/8E7ozvyTygmvAjfwFwT/xBz87fDsB9hPf+EGA94SY5IL4PL5vZZ/KcqxvwAPAxYA5QB8zPSvsXhJvVZ+O+r8R9jo7X8YsC13EK8DAh+HiXcOObAPwEuD/PddwLXA8cSmg0+yohUDgJeMHMJucc8xngNeAMYCjwRjzPDELgc39Mt2hm9g3Cd+irQD/gdUKQcBhwm5n9OQZlSY4AngU+DawgfE9GA98CnjCzXjnnqjSzG4C/AZ8gBNYvEwLbLwHPmNmZBbJ7O/Blwnd8PaEN0RYzKzezq4FbgZmE4G8O4Tt7IyGwyHD3OkJQBfCVPO9Ld+ALcbU5PaJEOgwFCc0zA/gOsJO770N4yrkybjvJzCamd4xPjLcRfrQeBya6++is464h3Bz+Fp/icfd7YyPKF2Myf3L3Ge5+QUxzF+A3hM/vxzEfk919IuEGcks87lwz61fMBcX9bgUGEW5gw919T3efAEwl3JBmEhp5pl1MuEmsAz7v7kPdfWq8rjOBLcA5ZnZOntMeBPwKGOzuk4EhhMaaAB8FPp6z/+8JN9XXgWnuvrO77xvzfAHQHfizme2ecK6+MV97xXMNBX4Rr/004PvAB8Dx7t4/pjuUUPLzIfB9M/t6nuv4NiFwGezuexKCv2/EbQcAR+Xs/6t4bSsI3UBHxu/DzoSb6A6E70NFzN+ehBteFfAzYIC77+XuuxBKR96M79dv8+RvK2Z2BHAZ4an8m0Df+B0aSXiP3yfclM/Lk8TZhKBrhLvv5u7jCAFVLTAOyH2v/ptQcvIucLi77+TuUwif3dmEoOFSM/tYnvPtC8yM7+8wwvcLwtP+KYTg4IvuPiLrs7udEKzmSt/498rzXTkG6A3Mdvdn8uRHpFNQkNA8f3D3i919M0Bcfpf6J/8Ds/Y9inCjeI/w4+jpDe6+hvAj9zQwkFCqUIzDCDfg5939f9L5iGmuinmBUHxfbO+IUwk36fnAZ919aVaazxGeEAFOiE9vOxOqTwBOza7acPdad7+CUFIA8NM8T7kPuvu57v5hPC5FuHGn36PM+xhvlMcSniI/nv3j7e4b3f1HhOCoKuu8ua5099nxmBp3XxtLRs6P27/m7n/OSjfl7jcD58aXzo/jVuR6Gfh6/DzTx11JfffZTClRLFU6Na5+NXuciHj88YRgZTjhZg3hRt0NuMzd/9PdN2Qd8yKh9KMWOM7Mds1z7bkuAMqAH7j7pdlVFe7+L+DEuPodMxuQcPz7wOeyq8nc/U7gnoRr3on67/bR7n5/1jG17n4ZIeAsIwRBSW5x98fiMXXuviqW0JwXt5/r7ungGHdfTSiheCU3oTjGyWNxNak04YS4VCmCdHoKEppnq7ra+MOdrkfeMWvTp+Pyb+mbYc5xKeCGuHpkMSd39yvcvQcNg5Fs67P+7lFMmlnnvj77JpTlNmBvYHwssj2CUK2wFLg5T5qXATWEKpCZCduT3scUoVgdkt/HR9x9cZ7zXR+XR+QpJn884bUDCNU11YT69CR/JlQ9DCM8uee6O6kdCqHYG0IpRtonCTfDhbFbbgPxO7I/MMTd749tWY6Im2/I3T8e8yqhmqcM+FSea8iI7TT2aiTNewklHd0JpRS5/unuGxNeT7rmIwhBzuykdgdR+rObamaDErYnfXb7EQLbTYQSuQZi8HxFnvOl9z8uuzooBnGHEoLw65MOFOlM1HCxefLdpNIN1LpnvZYuzjwyPg0nSVcJjDezsjw3nCQ1ZjY1nmNs/LcHoT48rdhAcFxcvpy0MTYifCnrpfQ5XoxBQ9IxH5qZxzwZcFfOLs15H/c1s6QbRvb+vQg39IU525ewtXS6XYHHzPIWvNQS3ssJQG4RdL7rSAdb2f/P0u/zVk+4ae7+RtbqLoQbLMCVZrZVw9FoZFxOyLM9W3YR+18LXHNVgTSbcs3p8+1c4LPL/p5OIJRUZCv02b2ZJ7CF5AHSIFStXUb4nnwESJfoHA9UAP9w92V5jhXpNBQkNE/SE1Q+feJyePxXSAXhBre2kf2IvSt+TniSyvYOofHkKU3II4TGf1B/g25M77hc08h+6WvplbCtOe/joPivMX3ZOkhIupGk0+1GVhF5I+nm2qoXRo6yrL+b+j73yfp73yL2T8pfoTRb45rT5+u9DedL+uwGxmWh9zLx/5K7rzezmwnVfV+hPkhQVYNIFgUJLS9dxXCWu19eigRjgHBtXL0P+CuhiH6Ou682sy40PUj4kPBjnnQzT1Idl30K7lVfSlJdcK/Gpd/HX7v7dwvu2bx0n48N3lpa+nzFvs/ZVVS9krpTbkMeVrr7wIJ7lkb6fLe7++daIN3eBfYp9D5fQwgSPmNmpxNKMHYjVLPklnqJdEoKElqeA3sSfnwSmdlwYvG4u79XRJr/EZd/cvcTErbv3ORchu6VUwhFuFuNrxADj4cJbRC+R+iCB7C3mZUnVTmYWW9gfFzdqt9/E6UbMxZ6HwcQfugXAYuKrLZJpzvezCrT/e5z0i0jtKl4l9DfvrGn6ELS3ViTWtWnz3c+oVvoX4A7CFUdFYRrfzrPMVMIJTPvFBFIpK95gJkNzm6kmpPmDMKYF/MLFOcXo5jPrgfh+7eI8B4XM+ZDumHoODPrnieP+ar4cPcnzWwOobvvx6gvqbkhuzGwSGemhost7x9xeWyeBlkQnmieJNwUsqVvvGU5r4+Oy+fzpHdy1t/FBoLpVunHZY+FkOUIQlHx4YRxHO4lNO4aDHwxT5pnxvOvJ4xBsC3S7+Oh2V1Mc/yC0MDtEbZ+z/J5jFBl0oswRkGSLwMPEQKjxqqMGnMf4XMdaWYfyd0Y++h/ndBFsszdqwnXA6Gr4FbMbDThul8BPt9YBtx9DmFcDYCz8qQ5Hfg3YTyP/RpLsxH3EAKdCQW6OJ5DuM6XCINRFeNxQtfcriT0UojBXWMlaukGjJ8mdOEEVTWIZChIaHk3E554+hIGvMk8TZlZLzO7ktCaOkVoY5At/UQ4Muf19FP8aWY2LCu93nHCqh9k7Vts74YrCU+N44Abzax/VrpTgd+l93P3D919EXB1fO3qOOJdev/yONhTumvhf6e7BzaXuz8O3E8IOu4xswOyztfNzH5MfXD0y3yNKRPS/ZD69/03ZnZSTmv3o6m/9lvc/e1tvI55hN4SANeb2f5Z5+oH/IlQqrSA+l4jPyXcZL9sZhdndyeN/fzvIdwoFxDGUyhGupvoD8zsezmDZM2gvjTpKXd/uAmXuBV3X0AY4wLgLxZG2Uyfq9zMTqa+K+MV7t5om5yYbg2QHjDs12aWGY/CzHoCVxF6rxRyPSHY/Rxh9NQX3D1vo1KRzkbVDS3M3Teb2TGEJ++9CKMrOuHpejz1T03nuPt9OYe/SOiaeJyZTQL+7e7fIAyF+3fC8M7zYnoQWsJXEUYvTBF6OxRV9eDu78dR/f5O6Hf/KTN7nRDcjCY8md9PGEUw7duEG9rRhBEe3yMUyY+hvlHZ5cAvi8lDEY4jDGM9DZhlZu8QRq8cS31jt/9196uamO6FMY1TCE+WF8a0hxEG5YHw1JpvMKWm+gZhwKWDCaMTvkUICI3QQ2MVYayKDQDuPsvMTiHc9M4BTjez2YTSj10In80ywjDF+Xo/NODuN8VBuc4nfD4/NLO5hG6no9K7Uf90va3OIXwXPwXcGb8ri+O50l1dmzMl+mWEko5jgb+b2ULCezGRMCjVM4TBwLaqRgJw92VmdjcqRRBJpJKEVhCfHicTBuV5mtAjYQ9Cy+vbgIPd/TcJh/6SMAT0SkJAMSmmdxeh/vZvhDYCEwk3nVcJ7RX2pP5ptaixF2K6jxHqyi8hPJXuShhD4BngNOAT2X3j4w3p04TqhgcIPQT2IgRANwGHuPtZTejS2Vj+VhLGhjiNUH3Rl3CtmwlP00e7+7ebkW7K3U8lFPH/lXBD2ZtwE36KUMz/UXdfnz+VJp2vmlB6dCoh+NiRUF+/lHDT28Pdn8855o+Ea72a0B1wd8JnPocQ5Exy97k0gbv/N2FMhj8Tvot7xry8SChp2Nfdc7siNkv83hxF+K7cRyj52JvwoPIwoVfBF4tsi5Cdbh2hOuhrhCq7foT38hVCsHtJ3LXQZ3dtXG6i+JIYkU6hLJUqye+3iMh2x8L8FJcTRvc8LM8+ZxEmg7rV3b+QtI9IZ6XqBhFpl8wsXbX2NnBsnpE4PxGX+UZ6hPq2LL8vsI9Ip6SSBBFpt8zsBUK1xc3A6e7+QXy9itBV93zCQEx7patjYqPGMfH1cwnVPq+6+6TWvwKR7ZtKEkSkPTub0Mbhi8BRsRFoHSEI6EUYO+LrOe01etNwWOw66mftFJEsargoIu1W7Bo7gTD99puEcSzGERqBXgns4+65448sjfvWEBr7Hu3u/261TIu0I6puEBERkUQqSRAREZFEChJEREQkkYIEERERSaQgQURERBIpSBAREZFEChJEREQkkYIEERERSaQgQURERBIpSBAREZFEChJEREQkkYIEERERSaQgQURERBIpSBAREZFEChJEREQk0f8Haq7BpCcdMioAAAAASUVORK5CYII=\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" ] }, "metadata": { @@ -1062,47 +617,28 @@ } ], "source": [ - "\n", - "density = True\n", - "cumulative = True\n", - "histtype = 'step'\n", - "lw = 2\n", - "bins = {\n", - " 'theta_energy': np.arange(0, 2.1, .03),\n", - " 'theta_peak': np.arange(0, 1, .03),\n", - " 'theta_freq': np.arange(4, 12, .1),\n", - " 'theta_half_width': np.arange(0, 5, .1)\n", - "}\n", "xlabel = {\n", " 'theta_energy': 'Theta coherence energy',\n", " 'theta_peak': 'Theta peak coherence',\n", " 'theta_freq': '(Hz)',\n", " 'theta_half_width': '(Hz)',\n", + " 'theta_vec_len': 'a.u.',\n", + " 'theta_ang': 'rad'\n", "}\n", - "results = {}\n", "for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:\n", - " results[cell_type] = {}\n", - " for key in bins:\n", - " results[cell_type][key] = pd.DataFrame()\n", - " fig = plt.figure(figsize=(3.5,2.2))\n", + " for key in xlabel:\n", + " fig = plt.figure(figsize=(3.7,2.2))\n", " plt.suptitle(key + ' ' + cell_type)\n", " legend_lines = []\n", - " for color, query, label in zip(colors, queries, labels):\n", - " values = data.query(query + ' and ' + cell_type)[key]\n", - " results[cell_type][key] = pd.concat([\n", - " results[cell_type][key], \n", - " values.rename(label).reset_index(drop=True)], axis=1)\n", - " values.hist(\n", - " bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n", - " histtype=histtype, color=color)\n", - " legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))\n", + " for color, label in zip(colors, labels):\n", + " legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))\n", + " sns.kdeplot(data=results[cell_type][key].loc[:,labels], cumulative=True, legend=False, palette=colors, common_norm=False)\n", " plt.xlabel(xlabel[key])\n", " plt.legend(\n", " handles=legend_lines,\n", " bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n", " plt.tight_layout()\n", " plt.grid(False)\n", - " plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)\n", " despine()\n", " figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')\n", " fig.savefig(\n", @@ -1115,25 +651,14 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 15, "metadata": {}, - "outputs": [], - "source": [ - "data['stim_strength'] = data.stim_p_max / data.theta_peak" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": { - "scrolled": false - }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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FmdkyQrX0LMLFQdL+WWnpEzasqt+C0tV4jVhKyUTsbHQecF4sbe5N6Kn5KcIV/FsIpdL3Fd1J/8ttM51QQfrc2odi7a1S3JjySUhqh8rV7lQq93t6IWUP6b8TzpFblEoUh3VtVipNNfocQGOJ0oB1uTNUxKEAVwNXx8kBHiSUeD+CAmjFzOwdhPFyALe7+6Elkm/TD1lKxd2fM7MHCcOF3k/oVTyUUJK+OyfpbYQA+l4Ld4lJ2jmqCaC5NSC7U3o869tKrGt6saPWdsAW7r7+c45V5jcDN8dxkw/GdO81s+Hu/kY98ltA7r0j9yiaqldyUdbBhh0IpTKjzGybOPxkI/E3mQSgPxRKk0Jum+u7CJNlFGRmOxBmFVtO6EyVdJp6hBBAzcxGFeqpHf0TNSw49qkK18w2IVyFLGHD7tMbcPcl9JYKhuWtHqjVLLUyPef/3xdLZGHKstxJARrhTjv5kmrcfentfXtf3sk66aG4I723EltFiR9VAb+hdwKDucXa3s1sF0oH0IFwbP6aMMHIrQWGEAHr+zHk3jQ9/zdaN3G4URJEP2JmWxdLa2bvIVzMQ+jxnvv9DYTvsr98qsS63IlENhpSVUKpz38hvc1wR8VOksWcShjveRWh2SqR9LwdwoZTB+b7dJl8VqVPATR2Dkm61u9VbHYKM9uH0EsXNpwgAHLq0fuhE0Mzyh22sW+hcYSxunw+YZhIopGGsSSSALoVMDf+nz/86HZ62zO+EJc3uXtXpS8SA3LSHrw7efPaApjZZpTv0j4Qjs3kMx9GaOfciIUpNpNq2yeLjFGsp+/E5abANYW+CzPbht7vsydnm0Rue12zfpf95TQrMKWome1LmAEKYCmhF3elks9/o88+p7YSwrSm3y900WtmBxIm7oEwZC93UoTrCHMiA3zLCkzLGuPQF/Kf74talFLOIMwcMoQwv+gVhPaupwk96PYhzA8Koffo+Xnb57ZXnR2374ql1no4y8xWu3tN50zsg8WEz2grQmnpNjP7AaFdbyzh8/1/bNyTrS/jDTPh7n+Is95sTZiWEPLGxLn7KjNbSpiVKSkJVVN9mziN0PY+jXBCeDthsornCJ1mTiaU7l9jw9u55Wq0YzONS4EvEYY9fSFOgXYZYfzrMMJn8SV6J1w4ox6ZLOMKwkxE+xPm7v2TmX2XUCOTjCX+Er3t2ee6+515+8j9Lo+Nx9g64CF3fz3LzDeZtYTj4i4z+09C6bCN8NkfR/i83wSOzJ8Qpozk8x9nZv9B6JX/ursn43aTG3y8hTCC421m9kNC7cmE+PpzCIW+HuDY3Jord38t9gG5gXDuu9vMvkMo4LURmg6/QCgJd1Gj+5PWYhhLMnHvGsKH+xlCcfo+QiA9iXDV8SLwiQI9KRcQ3hCEN/gA8Mu+5qsPtp4+ffpHCV9Sn/+uuOKK9SWsf//3fz+n2nTu/sa8efO2GjZsfa3a3oRpzu4jjKc8GRg/depUTjiht1PamWeeeXfu/idNmjQFYNttt7X81z7nnHOSOzQQ81GT917o76CDDlpfBTds2DCWLl26KD/NkUceuWuSZpNNNuEPf/jDzwvtKzff3/nOd67JXefuHXfeeee0HXdcPyT0o4S7OdxHmPFl+j777MPBBx88AiB+Phvs/5e//OUZbW3rf2dfAB7Yeuut/5Cs//jHP76+qmjx4sV/L/aeK01X6O+4445bX3q+9tpr7602nbu/umDBgilbbrm+b817CbOxLCaUIL4LTBkyZAhf+cpXcPcr0nyvZNgzNJ6oP0XvvL3bEmY2u5swtds3CcGzk/B7OKXAPlbS2wSyM2Fs8t1U1q46mLxAONaHEy5C7yTUCn2Z3js/fTDFReR1Of+fTTjPr2/2ixOk/Au984LvQZi04T5CjDiKEF/eAOa6+/X5L+DuNxOGZ60hXBR/ndDj/A5C59UhhBmPSo0TrUqthrFcTTgo/4vQHvoPwsG8itC2ciphPs6pZtZj4a4oybbJDPn3Ehr+3wDWmVk7GxtjZt81s6fMbC3hagUaqM0mCzNnzuT//u//OPDAA5k8eTJDhw5l6NChTJgwgT333JMzzzyT66+/nkMOOYThw8MooZtvvrnOuS5s1qxZ6//fbbfd2GSTTTZK86539c6jvcceezBiRLECYmlbbrkl8+fP51vf+hZvf/vbGT16NO3t7cyYMYNTTz2Viy++mJwAuZGddtqJiy66iN1224329naGDRvGkCFDeOONRulfUxkz46abbuLEE09k9913Z8yYMQwZMoRRo0ax/fbbc+SRR7JgwQKOOaaWMxvWlruvcffDCSfZKwkl6DWESeQfItxRZkd3P69EyeijhCD8PKH0+Xc2nOpQAHe/iFAavJFQ8FlDmNHqPMC8gtutFdjnDYSC1kOEmsgO8s7bHm4r98+EGw0sIHQ0XBvTLyVUy+/s7rmzIeW/zi8I7eAXEGaleoNwUXA9Yf7hmk7l19LTk9mF4wbMbHdCdcAo4OhC85OW2X5LwhXjNMIH+hihGnBLQgn2s+7e52mazOyR6dOnz7jxxrJTrorIhrKcxUuk4fTLdG9mNovQMzLt7XUgVFtOI97Wy93fQWhL+yqhPvviQvPwioiIZCHTAGpmw+IYs1upbIBusf3MInQU6AAOTXoJunu3u3+b0KV5KAXaPkRERLKQ2VhBCzfavo3QTtlFaAc9mtAbsFpz4vL6InfjuJhwc+TZtRgE3tXVxWOPPVY+YRnTpk0r2MbXDNauXcuTTz5ZPmEZW221FaNHjy6fUBrGa6+9xsqVBcfRlzR79uz8MbVPlLjJQ0OI56m+Dmvp8HhvXRlcshxsP5kQPO8DjnP335vZ0WW2KSYZMLu4yPrfETotjSDcjPqulK8DhBPI7Nmz+7ILABYuXMjkyZPLJ2xAzz//fE0+g3POOYdPfOIT5RNKw3j44Yf59KdTjTfP75n5HnrvUduoLmXj+89WaxE5dxCSwSPLAPo34MPuXuo+iWXFe/ol07kVLBK5+zoze5pQut2BPgbQgaSnu5uujuqnrOz8R22muexc/SJrV/y1JvuS/tH5XBa37BUZeDILoLFKoxbVGmPozecLJdKtJgTQtLfGWW+zzTbjrrsGRgzu6ljNU8dX31O/Zd0IFrV9ve8Z+O5LvPjdn/Z9P9JvpgGL2o4qmy7fxEdPbLpeuO4+q955kObViPOl5ssdD1pqAGzS7llo/OhGzOyRIqsa7XZOIiLSgPplGEsfVTwHatQ/A1tFRBqEmR2TP0lNhdt9Pm43J8VrDonb9pjZ4RWkPyqmbZb7N5fVDCXQ3F58pWYcSm7UXdG8lu6+c6HnY8l0RmVZa2w93d10vVqq1ltEml2cpCZ/jvFKttsD+HbtczR4NEsAfZNwJ4ZxJdIlbZ/qARF1daxmxSm7bPT8lLMfpm1k6abi7pfW8OIHN2y7HH3NbFpHD+hZE0WaShwjfx1VTlJjZu8jzFmebp5MAZoggLp7t5k54e4cUwulifePSyYpX9ZPWWtabSPHM2SzDW/c3tPdQ8/LOcNnOzeu3d/kLZNoHVtRE7OIZMjMhhFmYTuVKu4sYmbDga/Fv2ZowmtoDR9Ao/sJAXQm8KMC699JeC9r2HgsmlSg5+U3eH6vC+udDREpI+0kNWZmhFnhJhPGzZ9CuEXZpFLbSXHNEkB/RjhAPmlmJ7n7i3nrPxeX1/Z1FiIRkQaXdpKat8Rt74nbLTGz4zLMZ1lmNoRwZ5xK/Mjdqx9flaGGCqDxrvLthBut5s4ltpBwJ5Y9gV+a2YHu/lycZOEEwl3K16EG8bKmnLWUtpGlmpJF6mfZnLY2em+M3exe3GFeV7WjCCqRdpKalYR7ef46gzyl1UM4txcznnB7MoAV2WenOg0VQAl3nt+HvKmx3L3HzD4dn98bWGFmDxOqHiYSvoS57t73CWwHuLZRW9DSqqYPaTzL5rQdCPwAmFDvvNTI88vmtB23w7yu+bXcadpJatx9GQ3WR8Tdu4C9Cq0zs1H0Tt96C+FG3A2l0QJoUe7+lJntRqi33x/YhTBk5dfAeWlu8jqQ1WIIy/hffYbWMcPXP24ZPbxEapE+uwTYvN6ZqKEJhPdU0wDaoK40s5rdrDpW7c4n9H15DDgoBtuG0q8B1N2nllk/q8z6VcCX45+U0NWxmhVf25WWzg17qXe/tIbuzo2Hyna/tHHTceuY4ep1KyKVWEbpqVYBtgSmV7i/C4F/JUzR+hF3f6UPectM05RApXotne2MWrLhfLb5YztFGsjRDLAqXEIv18HgTHe/qlSCOEvSJeV2ZGYnA58F1gKfcPenapPF2lMAFZGGsMO8rvnL5rRdhzoRDVpmdiBwTnx4jLvfWc/8lKMAKiINIwYczT85CJnZTEJH0hbg2+4+r745Kk/dMUVEpK7MbBqwgDDf+S+B/6hvjiqjEuggk9+zthT1uhWRrJnZWOAmwpjPh4DD3b0p7qqlADrIqGetiDQKM9uUUOLcAVgOfMjdX6trpqqgACoiIvXyRcLkOACrgEvMbAQwtEDaznJDHfubAqiIiNTLZjn/v6NM2obr0awAKiLS5MpNUlNiu8l9eM1OQo/ZStNfClya99yphLvJNCX1whUREUlBAVRERCQFBVAREZEU1AY6wPR0d9PVsbrPd2IREZHSFEAHmK6O1Tx1/EQAWhhRJrWIiKSlKlwREZEUFEBFRERSUAAVERFJQQF0oOppoaVTbaAiIllRAB2gWjrbGbn0K/XOhojIgKUAKiIikoIC6ADS092t8Z8iIv1EAXQA6epYzYpTdql3NkREBgUF0EFk/IK5tIweXu9siIgMCJqJaKDpaaGls71gD9zWse20tFZ89yERESlBAXSAaelsZ9SSr9c7GyIiA56qcEVERFJQCVREpMmY2fbAV4H3AxOBF4H7gAvd/bclthsHnAp8DJgMvATcDZzn7vdVmYdZwO3x4bbuvrxM+nnAkcAid59VzWs1KpVARUSaiJn9K/BH4DPAOOBRoIsQFG8xs/OLbLclcD/wJWBL4E9AD/BxYLGZfSb73A8sCqCDwPgFc5mw+PPqgSvS5MxsPHANMBz4KbC1u7/N3ScBhxEC6QlmdkCBza8FpgG/BSa7+zuArQkl2TbgYjPbqR/exoChADoItI5tVw9ckYHhKGAMsByY4+6vJCvc/Wrgkvjw2NyNYnXrPkAHcKi7vxS36Xb3bwNXAUOBUzLO/4CiACoi0jz+QiiB/tDd3yyw/k9xOSXv+Tlxeb27ryqw3cVxOdvMVFVVIXUiEhFpEu5+LaEqtph3xOXjec/PjMvFRbb7HdAJjIj7uCttHquR1xGpnLnuPi+73FRPAVREGsazM85vA8bWOx818uLER0/s6o8XMrPRwBeBuYRA+O2cda3AdvHhk4W2d/d1ZvY0oeS6A/0UQIFXCL2Ai9kO2Cr+vzL77FRHAVREGsKzM84/EPgBMKHeeamR55+dcf5xEx89cX5WLxA7C50BTAc2Bf4KfM7d78xJNobec32pu02sJgTQ8RlktSB3XwLsVWidmc0A7okPv+nut/VXviqlADoA9HR309WxWndikWZ3CbB5vTNRQxMI7ymzAAq8E9g55/EY4CNmdqe7vxqfa89Zv6bEvt4okL5SfzGzFJsVFofc3EQ4Hn4GnF6zndeQAugA0NWxmqeOnwhACxvPgSsiA9b3gW8CmwH7AecTeuC+w8xmunsnYWhLNXpS5ONBoFCnplzbU0Htgpm1A78ilIZ/Bxzp7mnylDkFUBFpFEczwKpwgeOyfAF3/1v89zXgcjO7D3iI0BHocGAeYehKYliJ3SW9b19PkZUDq5iJqFSaVuBqYHdCdfTH3L1UqbmuFEBFpCFMfPTE+c/OOP861IkoNXd3M7sOOBSYRW8AfZPQRjquxOZJ2+fzGWaxnO8QZlR6Ddjf3Z+tY17KUgAVkYYRA44a84sws7HAtsCKIuM5AVbE5UQIkyWYmQO7AlOL7HcoYVYigGU1y3AVzOwLhJ7E3cBh7v5QPfJRDU2kICLSPB4gtDeWmrc2mUTh6Zzn7o/LmRT2TkKBag2wpC8ZTMPMPgpcEB9+1d2v7+88pKEAKiLSPG6Jy6NiqXEDZjaVMDk8hI44iZ/F5SdjKTbf5+LyWtRK0WgAABOiSURBVHd/o8D6zJjZPxNmV2oFLnP3gpPhNyIF0IGkp4WWTvXCFRnAzicMN9keuDpOLg+Ame0G/IbQGehOILcUt5AwYcHmwC/jMBHMrNXMTiJMRL+OnAkY+oOZbUMI9CMIeT+mP1+/r9QGOoC0dLYzculX6p0NEcmIuz9lZgcRpvP7JPDR2L45jDCDEIT7gh6QO/TD3XvM7NPAImBvYIWZPQxMIrSV9hCmynus/94NEHpdJzMNtQAL4jCWtgJpl7j7F/otZxVQABURaSLufoOZvRU4kTD2cyfC0JPFhLuq/Njd1xXY7qlYSj0F2B/YJW73a8INtSudk7aWNsv5f78yaTuzzEgaLT09DTk+tW7M7JHp06fPuPHGG+udlYp1/uMFnjp+Ii3rRjBqydc3Wj9h8edpHZtmchGRquh+eTKoqA1UREQkBQXQAW78grm0jNbt/UREak0BdADo6e6hZd2Igj1wW8e209KqmjURkVpTJ6IBoOeVNwu2fYqISHZUAm1y4VZmxWb0EhGRrCiANrmujtX87ex96p0NEZFBRwFUREQkBbWBDlCjr5nNJm+ZpB64IiIZUQBtcj3dPYV7344epskTREQypCrcJtfzypsF579tGzGmDrkRERk8FEAHqJZWfbUiIlnSWbaJaQiLiEj9KIA2MQ1hERGpHwXQAWj0NbPV+1ZEJGMKoANQ6+hhmv9WRCRjCqAiIiIpKIAOQBrCIiKSPQXQAUhDWEREsqczrYiISAoKoCIiIikogIqIiKSgACoiIpKC7sbShMIUfqvpevWFemdFRGTQUgBtQl0dq3nq+IkAtLDxrcxERCR7qsIVERFJQQFUREQkBQXQZtbTQkunqnBFROpBAbSJtXS2M3LpV+qdDRGRQUkBVEREJAUFUBERkRQUQEVERFJQAB1gxi+YS8vo4fXOhojIgKcAOsC0jm2npbWl3tkQERnwFECbTE93t6bwExFpAAqgTaarYzUrTtml3tkQERn0MpsL18zagZOAg4FtgVeB3wMXuPvNKfY3FfhLmWR/dPe3VbtvERGRamUSQM1sBLAQ2ANYBzwMjAP2A/Yzs9Pd/Ywqd/vWuHwReKxImsdTZFdERKRqWZVALyQEz4eA/d39rwBmdgTwY+B0M7vb3W+tYp9JAP2Zu3+uprkVERGpUs3bQM1sGnA40A0clgRPAHe/Ejg3Pjy9yl0nAXRpX/MoIiLSV1l0IjoCaAPudfdHC6y/OC73NLNtqthvEkAf7kvmREREaiGLADozLhcXWunuTwMr4sN9KtmhmY0EtosPVQIVEZG6y6INdHpcPlkizXJgCrBDhfvcFWgBngG2MLMTgN0I+V8GXOPud6fKrYiISApZBNAJcVlqtP/quBxf4T6T6tsxwKOEKuLE+4HPm9mPgWPdfV0lOzSzR4qsmlZhnkREZBDLogq3PS7XlEjzRl7acpIAOgy4BNgZ2JRQij2VMFTmM8D3qspps+ppoWXdCN1MW0SkjrIogXZReWDuqTDdXXGfS9z9opznVwJnmdly4CrgWDO70N2LlS7Xc/edCz0fS6YzKsxXv0qm8WvpbGfUkq/XOzsiIoNaFgG0g1DVOqxEmuR2Ia9XskN3/wnwk1Lrzew0YHvgY0DZANqMkmn8WlDJU0Sk3rKowl0Vl+NKpEnaPp+v4esuictta7hPERGRgrIIoMk0e1NLpEnWLat0p2Y21MzaSiRJ3ktFnYhERET6Iosq3PuB/ekdD7oBM5sMJBMo3FNuZ2Y2hjAkZgxwAHBdkaS7xWWhyRsGvPEL5oZ7gepm2iIi/SKLEuj8uJxlZlZg/bFxucjdl5fbmbu/BDwbH84plMbMPkkYfrKW4gF2QGsd266baYuI9KOaB1B3fxy4mjBW8zozSyZWwMwOB06OD7+Vv62ZTTOzHc1sq7xV58TlR83sHDPbNGebTwKXxYfnufszNXorIiIiRWV1N5bjgV3i35/NbCmhCnZKXH9KkTuxLIxpLientOnuV5rZrsAJwFcJEyc8DmwJTIrJLgVOq/1bERER2VgWVbi4+2pCG+gZhI5COxF65S4CDnD3s1Ps80TCrEPXEyZi2BUYCtwAfMTdj3b37tq8AxERkdKyKoHi7q8Rbll2ehXbTC2z/lagmnuIioiIZCKTEqiIiMhAl1kJVGqnp7ubro7VdL1aan5+ERHpTwqgTaCrYzVPHT+x3tkQEZEcqsIVERFJQQFUREQkBQVQERGRFBRARUREUlAAFRERSUEBVEREJAUFUBERkRQUQEVERFJQABUREUlBAVRERCQFBVAREZEUFEBFRERSUAAVERFJQQFUREQkBQVQERGRFBRARUREUlAAbXA93d10vfpCzhMttHSOqF+GREQEUABteF0dq1lxyi7rH7d0tjNy6VfqmCMREQEFUBERkVQUQEVERFJQABUREUlBAXQAGL9gLi2jh9c7GyIig4oC6ADQOradltaWemdDRGRQUQAVERFJQQFUREQkBQVQERGRFBRARUREUlAAFRERSUEBVEREJAUFUBERkRQUQEVERFJQAG1gG93KTEREGoYCaAPLv5WZiIg0DgVQERGRFBRARUREUlAAFRERSUEBtMlM/tqiemdBRERQAG06bSPH1zsLIiKCAqiIiEgqCqAiIiIpKICKiIikoAAqIiKSwpB6Z0A21NPdTVfHagC6OlbVOTciIlKMAmiD6epYzVPHT6x3NkREpAxV4YqIiKSgACoiIpKCAqiIiEgKagNtAlPOfnj9DEQta4fXOTciIgIKoE2hbeR4hmy2BQDdL75e59yIiAioCldERCQVBVAREZEUFEBFRERSUABtIj3dPWoDFRFpEOpE1CCSKfy6Xn2heJqX32DV/pf1Y65ERKQYBdAGoSn8RESai6pwRUREUlAAFRERSUEBtMmNXzCXltGanUhEpL+pDbSBTTlrKW2jtqC1fSzdL75esAdu69h2Wlpb6pA7EZHBTQG0gbWN2oIhm21B94uv8/xeF9Y7OyIikkNVuA2gp7u75PAVERFpPAqgDaCrYzUrTtml3tkQEZEqKICKiIikoDbQJjV+wdzQgUg9cEVE6kIBtMEVm/+2dWw7rWPb65AjEREBVeE2rClnLaVt5DjNfysi0qAUQBtU26gtaGnV1yMi0qhUhVsnyd1XALo6VtU5NyIiUi0F0DrR3VdERJqb6gibkOa/FRGpPwXQJqT5b0VE6k8BVEREJAW1gTaQKWc/TNvI8QC0jRxX59yIiEgpCqANpG3keIZstkW9syEiIhVQFa6IiEgKKoH2s2T8p25fJiLS3DILoGbWDpwEHAxsC7wK/B64wN1vTrnPbYBvAB8AJgAvAAuBc9z9sVrkO2tFx3/2tND90hq6Ozec97b7pTf6KWciIlKNTAKomY0gBLY9gHXAw8A4YD9gPzM73d3PqHKfBtwd9/MK8EdgO+AI4EAzm+3uv6ndu+hfLZ3tvPjBn9Y7GyIiUqGs2kAvJATPh4Bp7v52d58CfBroBE43s30r3ZmZDQFuIATPK4Gt3H13YCvgB8Aw4Kdmpq6rIiLSL2oeQM1sGnA40A0c5u5/Tda5+5XAufHh6VXs9nBgOrASOMrd34j7WwscD9wFjAa+3Nf8i4iIVCKLEugRQBtwr7s/WmD9xXG5Z2zTrMScuLwyBs313L0H+J/48JAq89oQppy1lClnP1LvbIiISBWyaAOdGZeLC61096fNbAUwBdiHUCVblJm1Au8stU9C2yjAdmb2ltxSbzNoG7UFrZ0jNnp+/K8+Q+uYjee81Ty4IiL1l0UAnR6XT5ZIs5wQQHeoYH+TgCRiFNvnX4EuQsl3h/i45tau6Ptuu15bTcu6DYNl90troHPjyoDWMcNpHdve59cUEZHayyKATojLUgMdV8fl+Cr2V3Sf7t5lZq8AYyvcZyq16iU7iq9nsl8REek/WQTQpMi0pkSaZHBjJcWr3DS12idmVqzRcceVK1fy4Q9/eKMVnV39e+PrtkNvo6VNk0VJc3jiiScWuPv+9c6HSH/JIoB2UXnnpJ4K91eNSvZZSvfatWtfe+KJJ/Lra6fFZamq6dr6y8v99lJSE/1/jIhI3WQRQDuAMYSxmcUkbZqvl0iTu7/EMIqXQqvZJ+6+cyXpEkmJtdrtZPDQMSIyuGRRP5jUc5aa1CBpp3y+iv0V3WecaGHzKvYpIiLSJ1kE0GRO2qkl0iTrlpXbmbs/Q5i6r9Q+30LogVvRPkVERPoqiwB6f1zOLLTSzCYDyQQK91S4z9+V2ifw7rhcEQOuiIhIprIIoPPjclacAD7fsXG5yN2XV7jPn8XlXDPbpMQ+51W4PxERkT6peQB198eBqwlVqteZWTKxAmZ2OHByfPit/G3NbJqZ7WhmW+WtuorQs3E74GozGxXTb2Jm/w3sRajm/X6t34+IiEghLT09fR31sbF4V5TbgV0Iw1CWEnrmTolJTnH3swtstzymudzd5+St2x34LaGzUAfwZ0JAHQusBT7g7rfX/M2IiIgUkMkofXdfTWivPIPQqWcnQg/aRcABhYJnBft8AHgr8CPg5fh/N/ALYA8FTxER6U+ZlEBFREQGOs0TJyIikoICqIiISAoKoCIiIikogIqIiKSgACoiIpJCFndjGVDMrB04CTgY2BZ4Ffg9cIG731zPvEljMrNjgIuBo9390nrnR0SyoRJoCWY2ArgNOI0wacMjwGvAfsBNZnZaHbMnDShO+HF+vfMhItlTAC3tQmAP4CFgmru/3d2nAJ8GOoHTzWzfemZQGoeZzQJ+A4yqc1ZEpB8ogBZhZtOAwwmzHR3m7n9N1rn7lcC58eHp/Z87aSRmNszMTgduJUxZKSKDgAJocUcQJsS/190fLbD+4rjc08y2KbBeBoF4s4RlhGp+gFOBFfXLkYj0FwXQ4pJ7jy4utNLdn6b3RLlPv+RIGtFkwg3d7yPMyXxWnfMjIv1EvXCLS27D9mSJNMsJd4/ZIfPcSKP6G/Bhd7+p3hkRkf6lAFrchLh8oUSa1XE5PuO8SINy9yeAJ+qdDxHpf6rCLa49LteUSPNGXloRERkkFECL66oire4JJyIyyCiAFtcRl8NKpBkel69nnBcREWkwCqDFrYrLcSXSJG2fz2ecFxERaTAKoMU9FpdTS6RJ1i3LNCciItJwFECLuz8uZxZaaWaTgWQChXv6JUciItIwFECLmx+Xs8zMCqw/Ni4Xufvy/smSiIg0CgXQItz9ceBqwnR+18Up2wAws8OBk+PDb9UheyIiUmeaSKG044Fd4t+fzWwpYbLwKXH9Ke5+a70yJyIi9aMSaAnuvprQBnoGoaPQToReuYuAA9z97DpmT0RE6qilp0dzAIiIiFRLJVAREZEUFEBFRERSUAAVERFJQQFUREQkBQVQERGRFBRARUREUlAAFRERSUEBVEREJAUFUBERkRQUQEVERFJQABUREUlBAVRERCQFBVDpF2Z2jpmtSe6rambzzKzHzO6ocPue+Denj/k4wsy6zexf+7IfEREFUMmcme0FnAT8t7s/UefsXAX8DphnZmPqnBcRaWIKoJIpMxsCXAy8DNT9/qnu3gOcAEwEzq1zdkSkiSmAStaOAnYGLnD3l+udGQB3XwzcBhxlZjvXOz8i0pwUQCUzZjYUOBXoAn5U5+zku5hw/H+j3hkRkeY0pN4ZkAHtAGAScIu7P1PrnZvZPODIStK6e0veU9cD/wA+YWaT3P3pGmdPRAY4lUAlS5+Kyxsz2v8y4O4Sf10x3cr8Dd19LaEadwjwyYzyJyIDmEqgkgkzawPeEx8uzuI13P1sinRMMrNTgD2BDuCjRXaxGJgNvB/4XhZ5FJGBSwFUsrIbsDnQDTxaIt0+ZtZTyxc2s0OAM+NrH+LufyqSdGlOHtrcvatIOhGRjSiASla2jcun3X1NiXT/oDeQlbJnJS8ax5xeBrQAJ7j7DSWSe1yOBLYAnq3kNUREQAFUsjMhLssNXVni7rPK7aySUqqZbQ/8EtgUuNTdv1Nmk9y8TUABVESqoE5EkpVklp/X++PFzGw8cDMwDrgd+LcKNnst53/NSiQiVVEAlawk1bajs34hMxtGGJYyDXgc+KS7r6tg09yg+UYWeRORgUsBVLKSVIeOz/JFzKwFuBx4N/AS8BF3f7HCzXPz9lyt8yYiA5sCqGQl6aAzxszaM3ydc4CDgE7gQHdfVsW2k+PydQqMFRURKUUBVLLyEKGNsRV4VxYvYGZHAycDPcD/c/eFVe4i6dl7T5xkXkSkYuqFK5lw93VmthDYH9iLMOtPzZjZlsAP48PVhCn5jgCGEYaw5DvL3W/Oe26vuLyplnkTkcFBAVSydCUhgH4Q+GaN9z2c3uN3PPCxMum3zH1gZpsR2k07gWtqnDcRGQRaenpUcyXZiNP5/RmYDvyTuz9S5yytZ2b/BlwIXObun6l3fkSk+agNVDITp8Y7Kz48up55KeBowmTzZ5VLKCJSiAKoZO0qQil0bpzsoO7MbF/gbYTS55P1zo+INCcFUMmUu3cCc4ARwGn1zQ2YWSvwn8DfgBPrnB0RaWIKoJI5d78fOBc4Js5XW09HArsCc9293Dy9IiJFqRORiIhICiqBioiIpKAAKiIikoICqIiISAoKoCIiIikogIqIiKSgACoiIpKCAqiIiEgKCqAiIiIpKICKiIikoAAqIiKSggKoiIhICgqgIiIiKSiAioiIpKAAKiIiksL/Bx0u5OFzAvKcAAAAAElFTkSuQmCC\n", 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\n", 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\n", + "image/png": 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vtvYLYl3Kuo1uX22L69h9DO61+JeI3IcbLWUl7jrbRGK/2mpxI4DEi78u8Hvv+KBXWm3LgLZ32abMwQ0EvgOxD0uyUieq+rGIXI1rldkXN2LObbhSSj2uSf5PcF1SwDV3v63Fae7AfTEfjGuYM0ZEbsc1KtoOd70t8sUdGb8z61R1o4ichxutphg3UszduC+sjbjh2C7DDfIPrqHQtbmILZNU9T0R+Q+uSnZf4ANvRJklQCOuZfqFuOESAaa3+PI1Ti2uWvRt7xLD+7jWsOfianLA9Ue9OvHhSX2FS3xHichJuM/nKlVdqarNInImrg95ITBDRCJj2a7GTdBwPrF+pRtwQwhGef//P+IS5DjgPRH5A662rh9uIP6TcEM0JqwZ6qq6dckTolWyZ+G+zAO46pP/4LquPI0bWq0CV/d/YoL+hE8Q+2V2Ga5k+hipCQCMGDFCcNUvW/1NmjQpvqNzwn2uv/76yMwc3HfffbOT7dfRP1UNXXzxxdGZHAKBAPPmzbu5jWNuuPLKKwkEAuAaXV2Ba1z0Gq6qfAzA+PHjmT9//r5ebUD88c0LFiw4+MADI0OrcgCupDof9386BWDs2LHMnj17rHc9MZPPG4CDDjroqATP7aEbb7yR0tLSyP/yfFxn89dxJc69AcaMGcPMmTNHeA1uEv7fbrrppn+m8v9tbb9Ef977AYCf/vSn17dnv7feemvq+PHRgsUYXPX6LNyMOPfiJc4jjzyShQsXnpPqa9rNPIZrQzEC94NwHm5ksEjiXIgbHjTV7jIRj3q3Fbjrzm8SG5ULVZ2L6z2wDneJ4RQvlvnAv4glzhXAEeom327pl8QKDTvgPrfzcbUSJ3nnvjTNuDu9Lps8ReQCEQmLm4mkVar6IO5X4Z9xv6iqcN1H6nDVIkHv7wIR2a/Fse/hrrfNw/U1qwOavOrILuf444+P3j/44IPp06ftRnbnnnsuzz33HGeffTYiQmVlJYFAgH79+jFx4kT+/Oc/M2PGDHr3TtwFskePHtx9993cdtttHHHEEfTv35/CwkIqKyvZa6+9uOaaa/jPf/7DkCHJBu/JnilTpjBz5kwuvvhidtttN3r27EkgEKBXr17st99+XHfddTz66KMMGzYs57FlSmVlJTNmzODGG2/k0EMPZdCgQRQWFlJSUsLQoUOZMmUKd911F7feeitFRUX5DndbFVbV03BjNb+J+66oxrXuvxzYW1W/bMd5rwZ+j6vZaMT9yO8Zv4OqzsTVEPwM94NnLe77bSNuZK+rgJ1V9e1ED6CqYVW9Ctf46F/eYzXgroXfiSuRJrt002X5wuGu90PQuzA/C3etqeVg26kcPxD3phqFq25ZgpuebCAuiZ6vqndnIM5Fo0eP3vnpp5/u6KmM6UyyNdiIMTnT5Uqe4ib/fZ6OjQH6EC5xvggMVdXxuI7gP8d1p7gj0Ri4xhhjuocukzxFpERErsVdT2v3nI5e8p2Iq1b5vnedClUNqeoNuOtthXTD+euMMcY4XaK1rddP8CXcpKxB3Mzs5+Eubqdrmnf7eJKO73fg+jQdLyKlWRiqr8M2btzIV18lG0M+daNGjeqU17CWLFnS9k5t6NevH/37tzWoikmmtf/B8ccfn2qH+tXa/rlLjcmqLpE8cdcjh+FagF2qqm973QjaI9Lk/rUk29/EXWwvx3XXeLWdj5M1L730Er/4RTpDySY2a9Yshg4dmoGIciu+UVN7XXrppVx2WT7mdO4a2vgfpNKNC1w3sms7HIwxWdBVqm1X4GY43z9Zi7FUeJ29R3qLySaObSI2cPLY9j6WMcaYzqtLlDxV9RMyM5N5b2KvyZpW9luHqxJu75Q/WXXiiSdy4okntr1jF5X7qT07l1BjPcGqr2nesIqmr1YSXLeW4Pr1hKo3EayrJlxXTbipMfYXCkK4mXCoGcJBbzkE4TCEfRT5x1NaeDiEwVfsp/SE3dr6H1hrW9PpdYnkmUHxfTPrk+4Vm9cwpb6c3iDqiYxK5Xhj0hVubqJh5SIaVnxIg35Aw7LFNK//lObalYTDmR2XvrF5AeEFpfjr3YBZ9S9/ysB5l+Ertq8X03XZu3tLrc30nkjX6yRrOqXmTV9Tu2Q2dR/NpX7xPBrWLIJwY24ePFiELxgb8ragTxkUWOFyWyQiF+AaPabV/11ELsGNLHW2qk5P8zEDxOb7PENV729j/3OBv+OGOd1mc9Q2G1iexM9G39rMEKXebUqDfKtqwumIvBLpzqmFZkxMqLGe2iUvUbtoJrXvvUDjN+m3MPY1l+FrqsAXKsVXUIavsIwCfxm+QBm+wmJ8hUX4AoXgD+ArCODzF0JBAF9BARQUQIEfnz9AcZ/xFH5rOPjAVxygeOIofIX+zD9p0yHe4DEtx+ZO5bgJuPGpTRxLnlvajBt2qpjWJ1+OXOv8JusRGeMJ1m6i5oNn2PzWf6l5/1nCTW38dgsVUFA3kIL6AQRKh1HYdxRFQ8ZSuP1IikaPIDC0HwX9yvGVFeLzWUmxK/P6rz9KmoPHiMjhuDGku9Wg76mw5BlHVUMiosDuuBkHtiIihbjRhsDN4mFM1oQaatn89qNUzf8ntYtmQbAp6b6+hp4Eqkfibx5ByYjxlO1zEEV77EBgxwEUlHe+/rqm47wp5H6O6/uecnWAiJTixs29mq7TKyOjLHlu7Q1c8twfuCvB9n1xr1s9qfdXMyZl4XCYuqWvUvXafWxe8G9C9Ukm2ggWEdg0mkDVGIoHTKDs0IMpmTiKgPTH57fvu+6uvYPHiIjgRmobiuvT/kvcrCnbtXZcd2PJc2sP495gJ4nIVaq6vsX2i7zbh7bF0YVM5xVqrKPq9fvZ+MItNK5KfA3T11RGYONOBDbsQsnA/SmbuhclR4zFP6RHjqM1nUB7B48Z5h37unfcuyKS1ynHWjQ6astdqtrmbFod1W2Tp4hsj+tqUquqX8RtmoWbUeVA4DER+a6qfu0NoHAFcBrun2gX0E1GBGs3seH5m9n00u0EqxOMCBkspnDdbhSuG0eAHSk7fg9Kj9+Fwp0G5j5Y05lEBo95Js3jvgC+rarPZSGm9grjvpeT6QeIdz8nk7F32+QJ3IcbAH4OMCmyUlXD3uzrc4CDgc9F5ENclcUg3D/xbFXt+ACqplsLNdaxcdbtrH/qD4RqWlRwhH34q0ZTtHZvAht2JrDDIMp/tBclU3ax65eepdP8ZUBXeDEax04PptRyPx3tHTxGVZeyjbXnUNUgcFCibSJSSWw41Rdw85tmXXdOnkmp6mcisieurn8KsBuuW8pzwB9VdXY+4zOdX+2S2Xx9zwU0fdNiFMhgIYVr96bo6wPx1/cnsMtAKq7dn+JDR+OzvpNRS6f5bwYuo2s0Zgktnea/dez04I/yHUgOzBCRGZk6mVed+wiuncoS4GQv0WZdl02eqjq8je2T2ti+Fvix92dMRoTqN7Pmnz9l05wW/dODxRR/dTBFXx+AL1hG4W6DqLj4QIoOGWHdSBK7lK6ROME9j0uB7pA8l9L60KcAA4HRKZ7vNuAo3JCp31HVTR2ILS1dNnkas61pXL2UVbeeROPKuNEawz6Kvt6folWHUdBcgX+7nlT85BBKJoslzdb9la5T8gzink938Ns0RhhqlYj8DDgfaAROVNXPMhNiaix5GpMDm997itV3nkGoriq6rqBmMKXLpuKvHYqvspiKC/aj7LS9bEzYFIydHvzR0mn+q7Frnt2SiHwXuN5bvEBVX8l1DPYpNSbLNr16D1/ffb6bicRTtGoixSuPxBf2U3r8rlReMdGNCWtS5iUcSzrdjIjsj2vw6QNuSHes3Uyx5GlMFm2ceTvf3B83qXawiNLPTqZww674h/emx6+PpHjC9vkL0JhORERGAU/gxh5/DPhFvmKx5GlMlmx67d4tEqevsZIy/QH+hsGUn7svFZccYFW0xqRIRPoAz+D6dL4HnK6qeZvZyj65xmRBzQfP8vVdsUFOfA29KP/oPAoHjKTn9UdTtNfQPEZnTOciIsW4kuZYYDlwtKpmdmLaNFnyNCbD6lcsYtUtp0SvcfoaKyj76FzKj55I5dWH2yAHxqTvctygNQBrgb+LSDlQmGDf5ra6ImaCJU9jMqh50wZW/voowkHvR3GwiLJl59L7V6dTNnW3/AZnTOcVP3jz+Db2zckgCb5wOG9Vxt2eiCwaPXr0zk8//XS+QzEZEKyq58sffotG5rkVYR/l6y9gwA3XULizjUMbxzqwmk7PSp7GZEBofS2rL7yMxrJ50XWlHM/gGX+ioFdpHiMzxmRDVxidw5i8Cq7ZzNqz/0ZN8T+j6woLd2W7Ox+wxGlMF2XJ05gOCH6zmXXT/sVmpoO/AQBfQQVD//A0BSXF+Q3OGJM1ljyNaafQpno2nPcIDRtfobn34uj6/mfdRGFf64piTFdmydOYdgjXNbHhkkdp+uxL6nd4Irq+dKdD6XnIOXmMzBiTC5Y8jUlTOBhi4xVP0vTOShqGzCZcVA2Ar7CEgWf9zWZDMaYbsORpTJo2/98rNMz+lFDRehoHvh5d3+c7v6Bo0Jg8RmaMyRVLnsakoe6pxdTcvQCA+qEvQEEzAIHe29F78k/yGZoxJocseRqToqbFX7Ppf54HIFi+guZ+70W39T3xNxQU25RixnQXljyNSUFocwMbf/w4NLiSZv3wF6LbiobtTo8Dz8hXaMaYPLDkaUwKqn4/i+CXmwBorvycYPnS6Lb+p9yAr8Cfr9CMMXlgydOYNtQ9+xH1jy2KLgcnvBO9Xzr2IMp3PTIfYRlj8siSpzGtCH5VRdW1sSpa354NNFS9EV3uc+zV+QjLGJNnljyNSSIcDlP1mxcJV3vD7pUX0bT7m9HtxSPGU2alTmO6JUuexiTR8PxSGuZ8Fl0uuWR7apfEpo/re+zVNiCCMd2UJU9jEghV1VP1+1nR5aL9tqcu+ExseeiulI87Nh+hGWO2AZY8jUmg+qZXCK2tcQvFAcqv2Jvq+Q9Gt/f59k/xFdjHx5juyibDNqaFpsVfU/fI+9Hliov2p+azfxNuqgfA32MgFfuekq/wjEmZiIwBfg4cAQwC1gPzgdtU9cVWjusL/Ao4DhgKbADmAn9U1flpxjAJmO0tjlDV5W3sPx04C5ijqpPSeaxcsp/OxsQJh8NU3/gyhN1yYFRfys4Yx8ZZt0f36XnoBRQU2lydZtsmIkcB7wPnAH2BxUAQlxBfEJEbkxw3EHgD+BEwEPgA94k4AXhNRGzaICx5GrOFhtmf0vjGF9HlyqsOpWbhEzRvWOlW+AvpdegFeYrOmNSISD/gn0Ap8C9giKqOU9XtgNNwSfQKEZma4PCHgFHAi8BQVR0PDMGVYP3AHSKyUw6exjbNkqcxnnBTkOo/vRxdLjpoOMUHj2DDi3+Nrqvc92QCvQblITpj0nIu0BtYDkxT1U2RDar6IPB3b/HC+IO8KtaJwGbg+6q6wTsmpKo3APcDhcAvsxz/Ns+SpzGe2offJ7h8g1so8FF55SQaVnxI/cdzo/v0PuKyPEVnTFqW4Uqet6tqQ4LtH3i3O7RYP827fVxV1yY47g7v9ngRKe1wlJ2YNRgyBgjXN1FzZ6wdROnU3Sgc059vHvh9dF3x8L0pGblPPsIzJi2q+hCu+jWZ8d7txy3W7+/dvpbkuDeBZqDcO8er7Y0xHS0aHbXlbFWdnr1oHEuexgC1j3ywRdeUiksOJNRYT9Xr90f36TnxB3mKzpjMEJFewOXA2bgkeEPctgJgpLf4aaLjVbVJRFbiSqxjyVHyBDbhWvsmMxIY7N3/opX9MsaSp+n2wvVN1Pw9Nl5t2cl74B9QQdX8fxKqWQ+Ar6iMyv2+l68QTQKrd76xDCjKdxwZ0Dho8ZW12XwAr2HQdcBooBj4ErhIVV+J2603sZywppXTrcMlz35ZCDUhVX0XOCjRNhHZGXjdW/yNqr6Ui5gseZpur/bh97ccEOHcfQHYNOeu6D6VE07GX9ojH+GZBFbvfOPNwGV0jXYbodU733jroMVX/iiLj7EvsEvccm/gOyLyiqpWe+viZ3Ovb+VcdQn2T9UyEWnHYYl53WqeAXoCDwPXZuzkbegKbzxj2i1c30TNP2KDvZedvAf+/hU0fv0JdUtil1h6HmJVttuYSyHiXfcAACAASURBVOk6318FuOeTTbcCFbguJ9NwCfBC4CURiRSigmmeM9yOON7CVb+29vdNKicSkTLgSVwp+E3gLFVtT0ztYiVP063VPbYoYamz6rV7o/sUDdmZktH7Jzrc5M9f6TolzyDu+WSNqq7w7tYA94rIfOA9XKOf04HpuO4pESWtnC7SyrY9Vc3fTWOEodb2KQAeBPbBVUEfp6qtlZYzzpKn6bbCoTA1970VXS6buhv+/hVuKrJ5sXFsexw8zWZP2cYMWnzlj1bvfOPV2DXPdlFVFZFHge8Dk4glzwbcNdG+rRweudaZUgkxS27CjZRUA0xR1dW5DsCSp+m2Gl7+NNav0wdlZ+4NQP0nr9O8drm33kcPayi0TfISTk6TTmchIn2AEcDnSfprAnzu3Q4CNxCCiCiwOzA8yXkLcVW/AEszFnAaROQyXIvhEHCaqr6Xjzi6QpWHMe1SM31B9H7xt8YQ2L43wBalzrKdDiPQe8hWxxqzjVuAu77Y2ji0kQESVsatizQ7T3adYl9coaseeLcjAbaHiBwL3Owt/lxVH891DBGWPE231PThapreWhFdLp/mBj8INzdS/cbD0fWV+38/57EZkwEveLfneqXFLYjIcNxA7+Aa3URE3vwneaXXli7ybh9S1boE27NGRPbGjZpUANyjqgkHts8VS56mW6q5N3ats3DcEIr23M6tX/h8rG9nYQkV40/MS3zGdNCNuBa1Y4AHvYHiARCRPYHncQ1/XgHiS2+zcC1eewKPeV1BEJECEbkKN6h8E3GDK+SCiGyPS/LluNjzPjuDXfM03U5wbQ31z2t0uXza+Oj9qnkPxNbveaz17TSdkqp+JiIn44boOwk41rueWYIbGQjcvJ5T47t3qGpYRM4E5gAHA5+LyIfAdrhro2Hc8HdLcvdsANcaOTKCkA94wuuq4k+w77uqmvVBqC15mm6n7tGF0BwCoGBQJcWHjQEgWFdFzbuxGqweVmVrOjFVfUpE9gCuBI4EdsI1sHoNNzvK3aralOC4z7zS6S+BKcBu3nHP4SbDTnWM2UyK/xV7ZBv7NmczkAhfOJyzPqWmBRFZNHr06J2ffvrpfIfSbYSDIdZO/gfBlW6GpopLD6Ti4gMA2PTqdL6+yw2GUFDeh1G3rMQX6Ao9IbY51u/HdHpZueYpIjbhodkmNc5dHk2c+H2UTt0tuq16fqyVbeW+37XEaYxJKlvVtl+IyPPAPcCTiaoGjMmH2ofej94vnjQK/8BKAJqr1lC7OFYbZVW2xpjWZKu1rR84BngEWCUiN4vIuCw9ljEpCX5VRcOc2ExLZafE3pKb33kMwu46qL/XEEpGH5Dz+IwxnUe2kucOwK9wE632BX4IvC0i74jIZSLS2tBPxmRF3X8/hJC7xu8f2pOiA4ZHt21+6z/R+5XjT8RXYL24jDHJZeUbQlVXqOrvVXVH3EgVdwIbgXG40SFWisgjInKMN8CvMVkVDoepe3xRdLl06u74Cly7leDmddQujk0BWLHP1JzHZ4zpXLKeuFT1DVW9CNdH52TgKdyYhFOBJ4AVIvIHEdkx27GY7qvpnZUEv9zoFnxQOmXn6LbN7z4BITcbk7/nIErHHJiPEI0xnUjOSn2q2qiq/1bV43Cj8v8ENyL+QFw/pEUi8oqIHJ+rmEz3EV/qLJqwPf7BsW5jmxfEqmwr9j4BX0GiftfGGBOT00ESvPEUvw+cCOxJrL/X+7jRKw4CDvRa6n5XVWtyGZ/pmsL1TdQ/91F0ufT4XaP3gzUbqVk0M7pcaVW2xpgUZD15ikgP4BTgDCBSH+YD1gMP4Ea5eF9E/Lj52W4DjgJuAc7Ndnym66t/6RPCmxsB8JUVUvytMdFtNe89AUHXk8pf2Z/SsQfnJUZjTOeSleTpJcKjcQnzO7jJVX24a50zgbuBx1S1MXKMqgaBR0VkM24YqBOw5GkyoO6xWJVtyZFCQVls8IPqLapsj8fntxErjTFty9Y3xVe4LiqRatnPcDOVT1fVFckO8kTq1+xbzHRYcG0Nja8vjy6XHLdLbFtdFbUfvhBdrhhvVbbGmNRkK0H1w02H8x9ctezLaRxbAvw/4O0sxGW6mfoXNNq3s2BQJUX7DItuq3n/GcLNrvKjoLwPZTtOykeIxphOKFvJ80Lgn6pane6BqrrUO96YDqt/Njb1WMlkifbtBKh594no/Ypx38EX2GrOYGOMSShbXVUG4fpxtklEfikiM7IUh+nGgquraXondpWg9NuxrsTh5kZqPng2uly+15ScxmaM6dyylTyvBc5Jcd+puMZBxmRU/fPqpu4F/MN6Etg1NtlP7UdzCNVVAeArLKF817amCDTGmJgOV9uKyA7A4Qk2DRSR1hKoDzcG7q7A5o7GYUxL9c/G+naWTN4Rny++yjY26XXZzodTUFye09iMMZ1bJq55fgNcBwyJWxcGRgN/T+F4H677ijEZ07xiI00ffBVdLomvsg2H3ZB8ngqrsjXGpKnDyVNV60TkZ8Dv4lbvADQAq1s5NIQrcb4LXNHROIyJV/9crKGQf2QfAtI/utzwxXs0r//SLfh8lI87NtfhGWM6uYy0tlXVB4EHI8siEgIWqOohmTi/MelqePHj6P2WVbab34mVOktG7Ueg58CcxmaM6fyy1VXlOuCLLJ3bmFYFv66maWFcle2RY7fYvkUXlT2tytYYk76sJE9VvS4b5zUmFfWzYqVO/7BeBMb0iy43rf2chi/eiy6X72lVtsaY9GWite1h3t3XVbW+xbqUqepLbe9lTNsaZsaSZ/Hho7esso1rZVs4cAxFg20aWWNM+jJR8pyJa/yzM7A0bl04jXOEMxSL6eZCG+toXPBldLkkbgYV2LrKNj6xGmNMqjKVsBINtpDOt5J9g5mMaJjzKQS9sWz7llE4brvotmDNRmp1TnTZuqgYY9orE11VtkqcidYZkwv1sz6J3i8+bPSWY9kufBaCzYCbu7Nk9P45j88Y0zVYkjNdRriuiYbXlkWXS77VopVtXBeV8nHH4Cvw5yw2Y0zXkvPrjCJSCnwL8AOvqOr6XMdguqaGucuh3pUsfRVFFE3YProt3NxIzcLnosvWRcUY0xFZK3mKyHYicrs3+lBk3U7Ax8BjuLk+l4vIKdmKwXQv8V1Uig8Zia8oVrLcYiD4olLKdjki5/EZY7qOrCRPEekPzAcuAA6I23QnsTFwq4EKYIaXVI1pt3BziIbZn0aXiw9v2cq25UDwZTmLzRjT9WSr5Hk5sB3wCfD/AERkNHAQEAQOVNVewB9wVcc/zlIcpptoencl4ap6t1Dop/iQkdFt4XCYze/FkqdV2RpjOipbyfNooBk4SlWf9tYd493OVdX53v1fAxuBtAdVMCZew5xYqbNowjAKyouiy41ffkDzuthokeV7HIMxxnREtpLnSGCpqi6PW3cEbjCEFyMrVLUJWMaW05kZk7b6lz+L3i8+ZNQW2za/91T0fsnICQR6DcIYYzoiW8mzFKiPLIhIAIjMsPJyi33LSG80ImO20PzlRoKfrYsuF08cucX2+CH5bCxbY0wmZCt5rgJGiEiht3wIrnFQNa4hEeBa5OJKqTYDi2m3hjmxUqd/ZF8Cw3pFl5s3rKJh2YLocsW47+Q0NmNM15St5Dkb6AXcICK74ybKDgNPq2oQQEQGADNwDYZmZSkO0w00vBK73lkyqUWp8/2no/cD/YZTNHTXnMVljOm6sjVIwg3Ad3Gtbi/HjV3b5K1HRA7GJUw/sAn4U0ceTETKgKuAU4ERuBLu28DNqvpsO843HHcttjXvq+q4dM9tMitU00jjG7GB4Isnbnm9M76LSsWex9pA8MaYjMhKyVNVFTgSWAA0AAuBKar6gbfLKlzi/hDXbWV5ex9LRMqBl3Atd0cCi4Aa7/GfEZFft+O0e3i364G5Sf7ebW/MJnMa538OTUEAfJXFFI6LtT0LNdRQuzhWqVFuVbbGmAzJ2vB8qjoP2C/J5mXAuLhk2hG3AROA93AJ+ksAETkDuBu4VkTmqurMNM4ZSZ4Pq+pFGYjRZEn89c7ig0bgK4wbVWjRTMJNrt1aQWkPyuSQrY43xpj2yMvA8KoaykTiFJFRwOm4+URPiyRO7zFm4AZhALg2zVNHkufCjsZosiccDm/Rv3OrVrZxXVTKd5uML1CEMcZkQtYHhveuR/b0HivpBSdVbU+L2zNw103nquriBNvvAH4FHCgi26fxGJHk+WE7YjI50rzkG0JratyCD4oPHhHdFg6FqIlPntZFxRiTQVlLniLybVwr2z3a2hfXErc9sUQmZHwt0UZVXSkinwM7ABNxrXtbJSIVuGunYCXPbVp8qbNwjyEU9I6NV1v/2ZsEq75xCwV+ynf/dq7DM8Z0YVlJniJyEPAErlo4leaN7W0COdq7/bSVfZbjkufYVvaJt7sXzyqgv4hcAeyJe62WAv9U1bntitZkVEP8qEItW9nGlTpLxx6Mv7x3zuIyxnR92Sp5XoWrTv0AuA5YAtRl4XEGeLdrWtknMvRMvxTPGSkp9wYW455HxBHAJSJyN3ChN7xgm0RkUZJNo5KsN20Irquh6cOvostbX+/csouKMcZkUraS5wG44fmOUtWvs/QY4Ib2g7ihABOIJO1U56CKJM8S3BRqt+JmhxmEu8b6a+AcXBeci9MJ1mRO46vLooM6FgyqJCD9o9ua1iyjcUXscrV1UTHGZFq2kmc5sCjLiRPc9GapthhOdfzcV71zvquqf4tb/wXwOxFZDtwPXCgit6lqslJllKrukmi9VyLdOcW4TJz6l+Na2R4ycovBD+Jb2RYN2YmigaMxxphMylby/BwYmKVzx9uMq14taWWfUu+2NpUTquoDwAOtbfcGXhgDHIcblMHkULgxSOPry6PLxZOSjypUPs6qbI0xmZetfp6PAENE5PAsnT9irXfbt5V9Itc6v8ng40ZGFxrR6l4mKxrfWUF4c6NbKA5QPGH76LZgzUZqdU50uWJPq7I1xmRetpLn9bgS2X0icpyIFGfpcZZ4t8Nb2SeybWmqJxWRQhHxt7JL5HVLqcGQyaz4UYWK9h2Gr7QwulzzwTMQbAbAX9mPklHJBrkyxpj2y1a17T+AFcCuwKNAUETWA41J9g+r6g7teJw3gCnE+ntuQUSGApFiyettnUxEeuO6vfQGpuJiT2RP7zbRwAwmyxpeie+i0qKV7duPRe+XjzsWX0Frv4GMMaZ9slXyPBWY7N334ZL0AGBoK3/t8Yh3O0lEJMH2C73bOakMPq+qG4DV3uK0RPuIyEm4LiaNJE+uJkuav9hAcNn66HJ8/85QYx01H8Qm0anY+4ScxmaM6T6yVfI8O0vn3YKqfiwiDwLfBx4VkeNU9RMAETkd+Jm36/+2PNYbF7cQ2KSqX8Vtuh64DzhWRK4HrlXVBu+Yk4B7vP3+qKqrsvG8THLxVbaBUX0JbNczuly76EXCja5dmK+kgrKds33J3RjTXWUlearqvdk4bxI/BHbz/j4SkYW4atdINfAvk8yoMsvb517iSpmqOsObwPsK4Oe4QRE+xrUe3s7b7R+4/p4mx7aosm3RynbzW/+N3q/Y/WgKilprhG2MMe2Xl1lVMklV1+GueV6HaxS0E6717Rxgqqr+vh3nvBI3mtDjuEEWdseVUp8CvqOq56lqKDPPwKQqVNNI45vxE1/HrneGm5u26N9ZsffxOY3NGNO9ZHVWFa+V7TTgWGBHoKeq9heRfsCNwI1JZkNJi6rW4KYduzaNY4a3sX0mkM4coCbLGufFTXzdo5jCcdtFt9UtfYVQjbsW6gsUUWYDwRtjsihrJU8RGQu8D9wOHI2bqaSPt3kH4CzgLRE5LlsxmK5liyrbA0fgC8TevtVxrWzLdvkW/tIeOY3NGNO9ZCV5ikhP4HncTCZfAH9my5lPNgEf4UYGelhEds1GHKbrCIfDSbuohEOhLbqoVOxlVbbGmOzKVsnzx7jS5VPATt41xEgXELwWsbsBj+GuJf4kS3GYLqJ5yTeEvtnsFnxQfFBscKf6ZQsIbvQaPvsKKN9zSh4iNMZ0J9lKnifiRt85V1UTzniiqkHgfNzsJIdmKQ7TRcSXOgt3H0xBn9gkOZvfinW3LR17MIEe/THGmGzKVvIciZtVpdXxZFV1LaDA4CzFYbqIhjlxs6jEDYwQDoepXvDv6HLFeBsYwRiTfdlKniFis5mkEkNDluIwXUBofS1NH8RNfH1I7Hpn/Wdv0rx2uVvw+agcPzXH0RljuqNsJc9PgFEiMqi1nURkGG4+y0+yFIfpAhpei5v4ekAFgZ0GRLdVv/lw9H7p2EMI9B6S6/CMMd1QtpLnf3F9SG8TEV+iHbw+oHfhxr59IktxmC4gfki++Imvw6EQm998JLqtcsJ3cx6bMaZ7ytYgCTcD5wDHA2+IyEO4geERkW/jZls5Fzeh9FfAX7IUh+nkws0hGuYuiy7HV9nWfTyX5g0r3UKBnwqrsjXG5Ei2xrat9pLkk8B4YO+4zZEx1Hy4xDnFm83EmK00vbeScJV3SbzQT9H+sZnr4qtsy3Y6lECPAS0PN8aYrMjaCEOq+hGwB67P56vAeiAIVAELgP8BdlHVt7MVg+n86mfHWtkW7TOUgvIiAMKhIJsX/Ce6rXLfk3MemzGm+8rq2LaqWgvc4v0Zk5ZwOEzDzI+jy8WTRkfv1300h2DV127BH7C5O40xOZXx5Ok1BDoYmARsj5vhJAxsAJYArwGvqmo4049tupbmT9YR/HJjdLnk8FjyrH7joej98l2OwF/RB2OMyZWMJU8RKQQux01AHf9N5iPa0SBqlTfR9B02tZdJpmFWrNQZ2GUg/sFusPdwcyPVcaMKVU44JeexGWO6t4xc8xSRHriB4G/AlTR9QDWwEJgLvAV8DDR727YDbgWeFZHyTMRgup6G2bHuvyWHj4ner3n/mdj0Y4UllO9lE/MYY3IrUyXPh3HVtEHgTuBOVV3YcicRKQL2Bc4DTgO+BczAjYVrTFRwdTVNC6NzCVAcV2W7ae590fsVex1n048ZY3Kuw8lTRL4DHIlrRXusqr6abF9VbcRd83xNRO7GdWU5TkQOVdXZHY3FdB3xpU7/sF4ERvcDIFi9lpr3n4lu63HgmTmPzRhjMlFtezrumuaPW0ucLanqHOAXuGrc0zIQh+lC6uOudxYfPjo6qlDV/H9BsAkAf6/BlO16RF7iM8Z0b5lInnvhBna/vx3HTsdV9e6bgThMFxGqqqfxzS+jy/HXO6viqmx77H8avgJ/TmMzxhjITPIcBHymqk3pHqiqNcBnuC4txgDe3J3NrhF2QZ8yCse5wd4bVi6iYXlsTI0eB56Rl/iMMSYTybMU2NSB4zcA1uLWRDXMil3vLD50FD6/e5tWzZ0RW7/DXhQP3TXnsRljDGQmefpxVa/t1ZShOEwXEK5vouHVuFlUvCrbcChI1esPRNf3OMgaChlj8seSltmmNLzyGeFadwXAV1ZI8X6uRr/2wxcJblzldvIHqJxwar5CNMYYS55m21L/nEbvFx82Gl9JIQCb5vw9ur5896MJ9Oif89iMMSYiU4Mk9BSRQ9p7bIZiMJ1cqLZxi4mvS769IwBNG1ay+d0no+t7HXp+zmMzxph4mUqeuwI2yIHpkIY5nxGu86psK4spPnA4AFWv3A0hd1k90HcHynY9Ml8hGmMMkLnk6evg8TbDiqH+uY+i94sPH42vKEA42MymOf+Iru856Tzr22mMybtMJM8RGTiH6eZCNY00vLIsulw62VXZ1nzwDM3rV7iV/gA9Dz47H+EZY8wWOpw8VfXzTARiureG2Z9AQzMAvh4lFO23AwCbZv+/6D4Vex1PoNegvMRnjDHxrLWt2SbUPbk4er/kW2PwFflpWrOcmoXPRddbQyFjzLbCkqfJu+CazTTOXR5dLjl2ZwB3rTPsLocXDhxD6Y6H5iM8Y4zZiiVPk3f1Ty2BkEuSBUN6ULTPMEKNdVv07XQNheztaozZNti3kcmrcDhM3eMfRpdLp+yCr8BH9bwHCFavBcBXVGYNhYwx2xRLniavmj/6huala6PLpVN2JhwOs+GFv0TX9TjoTPwVffIRnjHGJGTJ0+RV3eOLovcLxw0hMLwPtYtepHFlbH3vI36Yj9CMMSYpS54mb8JNQeqfXhJdLp2yCwAbnr85uq58j6MpGiw5j80YY1pjydPkTcPsTwitq3ULhX5Kvr0jDauWULvw+eg+vY68PE/RGWNMcpY8Td7UPvR+9H7JkWMp6FnCxhduia4rGrobZTsfno/QjDGmVZY8TV40L99A47zY4FRlp4yjuWoNVXNnRNf1PvKH+HwdHTbZGGMyz5KnyYvah9+L3g+M7kfh3tux8cW/EG6qB8DfYwCV+30/X+EZY0yrLHmanAvXN1H337i+nafsQai+mo0zb4uu633kjygoKslHeMYY0yZLnibn6l9YSniTK2H6SgspnbILm166g1DdJgAKSnvQ87AL8xmiMca0ypKnyalwOEztA+9El0uO2QmKQ2x4/v+i63odfgn+sp75CM8YY1JiydPkVNPbK2hauDq6XHbqOKpeuYdg1TcA+IpK6XWkDYpgjNm2WfI0OVVzz1vR+0UTticwtg/rn70xuq7nxHMJ9BiQj9CMMSZlljxNzjQvW+8mvfaUT9uHqnkP0LzuC7fCH6D35J/mKTpjjEmdJU+TMzX3xkqdgVF9Kdx/KOuf+F10XY8DTqew77B8hGaMMWmx5GlyIriuZotB4Mum7UP1vPtoWvOZW1Hgp8+xV+cpOmOMSY8lT5MTtfe+BQ3NABT0LaN48kjWxZc6DzqLogGj8hWeMcakxZKnybrQ+lpqH3g3ulx21niq37gv7lpnIX2n/CpP0RljTPoseZqsq7lnAeG6JgB8vUspOWkn1j95fXR7z4k/oLDfDvkKzxhj0mbJ02RVaH0ttQ/GSp3l5+xD9YJ7ad6wEgBfoJg+3/lFvsIzxph2seRpsmqrUucJo1n/5O+j23seej6FfYbmKzxjjGkXS54ma4JfV1MTNxRfxTn7svHlv8SNJlRGn2N+lq/wjDGm3Sx5mqzZfOtcqI+1sC2cPIANz90U3d578k8I9Bqcr/CMMabdLHmarGhauoa6/y6MLldceiAbXriecGMtAP7K/vT59hX5Cs8YYzrEkqfJiuo/zYGwu+8f2YeC/fxseuXu6Pa+x/+agtLKPEVnjDEdE8h3AKbraXh9OY2vLYsuV/5kIuse/QmEQwAUDhxDz4nn5is8Y4zpMCt5mowKNwap+v2s6HLh+KEEByyj5v2no+v6fff3+AKF+QjPGGMywkqeJqNqZrxF8LP1bsEHlVcexKoHJke3l4w+gIq9T8hTdMYYkxlW8jQZE/yqiprb50WXS08Zx+YvH6Lxq4/cCp+PAaffjM/ny1OExhiTGZY8TcZU//HlLQZEKD1zJOse/010e89J51MyfO98hWeMMRljydNkRP3Ln1L/vEaXK39yCOueu4ZwQw0ABRV96Tf1f/MVnjHGZJQlT9NhoeoGqq57IbpcuMdgwjuto3r+v6Lr+p30v/gr+uQjPGOMyThrMGQ6rPpPLxP6erNbKPRTec1EVk4/Irq9eMR4eh7ygzxFZ4wxmWclT9MhDfM/p+6RD6LLFRftz6aFt9H09cduha+AgWf8FV+BP08RGmNM5lnyNO0Wqqpn09XPRpcDOw7Af1gBG579c3Rd76N+RMnIffIRnjHGZI1V25p2CYfDVP3mRUKrq92KQAE9rj2UVfdNiRtJaDR9T7guj1EaY0x2WMnTtEv9k4upf+aj6HLFpQey8cObaVwRGwx+4Dl/p6C4LB/hGWNMVlnyNGlr/mIDVf87M7pcOH4o7LuejS/cEl3X6/BLKJND8hGeMcZknVXbmrSE65rYePnjhDc3AuCrLKbil+NZcVssURYN3ZV+p9yQrxCNMSbrrORpUhYOh9n02xdp1jXRdZXXHMo3j11EsOobAHyFJQy+8AEKikrzFaYxxmSdJU+TsrqH3qf+sUXR5bIz92bzxruoWzI7uq7/KTdSPHTXfIRnjDE5Y8nTpKRh7jKqfhd3nXOv7Qjv9zkbX7w1uq5yv1PpefhF+QjPGGNyyq55mjY1LV3Dxh89AcEwAAX9yim6pCer7zopuk/xDnsy8Oy/24wpxphuwZKnaVVwdTUbLvwP4RqvgVBpIWXXjOSre08h3OzW+Sv7M+SHj1q3FGNMt2HJ0yQV/Lqa9Wf9KzYQQoGPsv/ZidWPnUG43o1l6ysqZcgPH6Ww7/Z5jNQYY3LLrnmahCKJM/jlxui6kksH882sMwltXudW+AMMufTflI45IE9RGmNMfljJ02yledl6Nlz4b4JfboquK/pBOWveuzha4sTnY9B591K+++Q8RWmMMfnTJZKniJQBVwGnAiOAauBt4GZVfba1Y1s55/bANcBkYACwBpgFXK+qSzIR97ao4Y0v2Hj5Y4SrGgAIE6bge2tYu/hWCDa5nfwBBp03nR77nZq/QI0xJo86fbWtiJQDLwG/BkYCi4Aa4EjgGRH5dTvOKcA7wA+ACuB9oAQ4A3hHRI7KTPTbjnAoTM19b7HhvEdiibOggeZjZrHp05uiidNXVMp2lz9Oj/2+l89wjTEmrzp98gRuAyYA7wGjVHUvVd0BOBNoBq4VkW+lejIRCQBPAX2BGcBgVd0HGAz8FZdE/yUifTP7NPInuLqaDec+TPUfZkNziDBhmvovofaQv1G3Jta3099rMEOvmmlVtcaYbq9TJ08RGQWcDoSA01T1y8g2VZ0B/MFbvDaN054OjAa+AM5V1TrvfI3AD4FXgV7Ajzsaf76F65rYfOd81h57N43zvwAgWLaCul1nUDfiXoK1q6P7lu50GDtc9zalo/fLV7jGGLPN6NTJE1eN6gfmqeriBNvv8G4P9K5hpmKadzvDS5hRqhoG7vQWO229ZWhTPTX3vcWao//Bhmm2NAAACz9JREFU5lteJVRTT3PPpdSOvYeaXf9Kc1nspfQFiuh7wrUMvfI5Aj0H5jFqY4zZdnT2BkP7e7evJdqoqitF5HNgB2Airho2KREpAPZt7ZzAXO92pIgMiy/tbsvCdU00zPuchpkfU/fcR4Qb6glWLKd52FKa+r5HuKhqq2NKdzqUgWfeRtFgyUPExhiz7ersyXO0d/tpK/ssxyXPsSmcbzsgMh1IsnN+CQRxJd6x3vI2IxwOE95YR3DFJpq/3EjTolXUf7iExk+XEipYTbB8FaERqwiWrQJ/U8JzFA/fm75Tfkn5nlNsuD1jjEmgsyfPAd7tmlb28Xr00y+N8yU9p6oGRWQT0CfFc7Zb/YJFbHz6bkINmyDYTDjYDKFmwqGgdz9IuLmJcFMT4cZGws21hIM1hKgDfz1hfz3hws3gC8d+ZiTjD1C++9H0OvR8ynabbEnTGGNa0dmTZ2Qw1fpW9qlrsW8q58vkORGRRUk27fjFF19wzDHHbLUh3Byk6avPCBc0JjgsFSXeX6+ke/h8BfiKyykorqCgtAe+1Y3wwl9xjYqNyY5PPvnkCVWdku84jOmIzp48g6Te6Cmc4vnSkco5WxNqbGys+eSTT5JU/fqA4g4+RBtqG4H13t8WRnm3rVWJm+yw196YbVxnT56bgd64IlYykWuYtSmeL6KE5KXPdM6Jqu6Syn7bkkhpuTPG3tnZa2/Mtq+zd1VZ6922NmBB5LrkN2mcL+k5vUEUeqZxTmOMMV1MZ0+ekTFmh7eyT2Tb0rZOpqqrgMho6MnOOQzX0jalcxpjjOl6OnvyfMO73T/RRhEZCkQGR3g9xXO+2do5gcj8W597ydYYY0w309mT5yPe7SRvMPeWLvRu56jq8hTP+bB3e7aIFLVyzukpns8YY0wX06mTp6p+DDyIq0Z9VESivRlF5HTgZ97i/7Y8VkRGiciOIjK4xab7ca0cRwIPikilt3+RiPwFOAhXtXtrpp+PMcaYzsEXDne0t0V+ebObzAZ2w3U1WYhrgbuDt8svVfX3CY5b7u1zr6pOa7FtH+BFXMOgzcBHuGTaB2gEJqvq7Mw/G2OMMZ1Bpy55AqjqOtz1yetwDXh2wrWUnQNMTZQ4UzjnAmAP4C5go3c/BPwHmGCJ0xhjurdOX/I0xhhjcq3TlzyNMcaYXLPkaYwxxqTJkqcxxhiTJkuexhhjTJoseRpjjDFp6uyzqpgUiEgZcBVwKjACqAbeBm5W1Wfbec7tgWuAybhJxNcAs4DrVXVJa8d2F5l+3UVkOLCsjd3eV9Vx6Z7bGJMe66rSxYlIOS6pTQCagA9x/WAjY/5eq6rXpXlOAeZ659kEfExsEIl64HhVfT4jT6CTytLrfhzwGG7y1WQ/UD5W1bPbFbQxJmWWPLs4EZkOnAW8B0xR1S+99WcAd+NqH45Q1Zkpni+A++IeDcwALlDVOm8c4D8Dl+IGlhjtDWDRLWX6dfeOvQY3GMgdqnpRxoM2xqTMrnl2YSIyCjgdNzrSaZEvcABVnQH8wVu8No3Tno5LnF8A56pqnXe+RuCHwKtAL+DHHY2/s8rS6w5upCtwQ1AaY/LIkmfXdgZu0Px5qro4wfY7vNsDvWuYqZjm3c7wEmaUqoaBO73F76UZa1eSjdcdYsnzw44EZ4zpOEueXVtkTtLXEm1U1ZXA597ixLZOJiIFwL6tnRN3LRRgpIgMSzHOriajrzuAiFTgriuDlTyNyTtrbdu1RaZo+7SVfZbjZpcZm8L5tgNK2zjnl7jZbfzeOb9Msl9XlunXHWB3wAf8//buL9Sysozj+HeyaQZLa1InK8M/kzyapgiJaEUDEXmRheVVTTiJxoQQCBNKiVJWA3aTSXnRnzFyRjRUhPBGxUSNNHIuQu0ZbxzTMXKYHBSLyTmni/fdnsNhn+1+D+s4rHW+Hxjevc569zNrLc45v/2us9a79gLHRcRW4BzKz/Bu4PbMfGzC+yV1yPActvW1fXlCn9FFPcc21Fu0ZmYeiogDlCtvp6k5RF0fd5g7ZbsOeJry4WTkc8CVEfEbYEtm/m/aDZW0NJ62HbYja/vfCX3+s6DvNPW6rDlEXR93mAvPtcAvgTOANZTR67WU22EuA25q2lJJS+LIc9gOMf0HpGnuWTrU+P+v1Puguj7uUK5ifgewKzNvmff154Ef1Ye73wZsiYifZ+ZTU9aVtASG57C9RjnNt3ZCn9HfMF+fst7IWhYfWbXUHKKujzuZuQPYMWl9RFwPnAp8CTA8pWXkadth21fbYyb0Gf3N7V8N9RatWSdReG9DzSHq+rhPa1dtT+6wpqQxDM9hG03hdtKEPqN1u9+qWGbupUzHN6nmR5i7mOUtaw5Up8d9JCJWR8QRE7qMfp69YEhaZobnsD1e2/PHrYyIE5iba/VPU9Z8YlJN4ILa7qlhuxJ1etwjYl1E7AcOUk7JLuac2o6bmEFShwzPYft9bTfWydwX2lLbhzPzuSlr3lnbb9T5bBereeuU9Yao0+Oemf8G/lkXN4/rExGXABsoAXt3y8ZKamd4DlhmPgvspJxGvTsiRjfvExGbgKvr4g8XvjciNkTEaRHxwQWrbqPc/H8KsDMijqr93xURPwM+RTm1e3PX+9MXy3Tct9X2oojYFhFr5r3nEmB7XbxxBY/4pbeNT1UZuIg4BngI+DjlFoq/Ua4EPbF2+V5m/njM+56rfX6bmZsXrDsXuJ9yYdBrwN+ZeyTZQeDCzHyo+73pj2U67j8BttbFVymPgvsAZeYngF9RnnIz0+GuSBrDkefA1ceCnU95lNVu4HTKVaAPA18Z9wt8ipp/ody0/2vK48fOpjxB5C7gvJUenLBsx/07lNmE7qVMsnAWsBr4A/CFzLzC4JTeHo48JUlq5MhTkqRGhqckSY0MT0mSGhmekiQ1MjwlSWpkeEqS1MjwlCSpkeEpSVIjw1OSpEaGpyRJjQxPSZIaGZ6SJDUyPCVJamR4SpLUyPCUJKmR4SlJUiPDU5KkRu883BsgLUVEfAa4HLgAOJ7yvbwP+DPwi8x8cMo6twKXAjsyc9OY9ZuB7cCezDypi22X1H+OPNU7EbEN+COwCTgKeAZ4HlgPfBl4ICK+edg2UNLgGZ7qlYjYCFwDzACXAcdn5icy81TgZEqoAtwQEX5/S1oW/nJR31wIHATuycztmTkzWpGZLwDX1cX19Z8kdc7wVK9k5jXAWsop23Fen/f6yOXfIkkrkRcMqXcyczYiZiLi08DHgFOAjwJn1XbED4eSloXhqV6JiFXAVuC7wPvmrZoFEvgd8PXDsGmSVhA/matvrgNupATnHcBm4Fzg6Mw8HbhhiXVXLfL1dy+xnqQBc+Sp3oiI1ZRRJ8APMvP6Md1OaCz7Rm3XLLL+Q431JK0AjjzVJ8cC76mv/7pIn8vnvZ7mw+G+2p62cEVEHAF8ceqtk7RiOPJUn7wM7AfeD1wVEY9m5n6AiDgO+D7w1Xn937zaNiI2AKuBA5n50rw+jwJXA2dExLeBm+sFSeuAnwJnjtuQOgreUBdfyswDXeygpH5w5KneyMw3gGvr4kbgHxGxKyKeBvYC3wJ2MTeanH8K90HKTETbFpS9D3ikvr4J2BMRTwIvAl8Dxp0aBvhwrfcMcPESd0lSTxme6pXMvAX4LHA/8AplZLieMqftlcB5lEAEuGiKejPA5ymh/FStdSLwAPBJYGe3eyBpCFbNzs4e7m2QJKlXHHlKktTI8JQkqZHhKUlSI8NTkqRGhqckSY0MT0mSGhmekiQ1MjwlSWpkeEqS1MjwlCSpkeEpSVIjw1OSpEaGpyRJjQxPSZIaGZ6SJDUyPCVJamR4SpLUyPCUJKmR4SlJUqP/A6Y0dpgmiEnSAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" ] }, "metadata": { @@ -1275,47 +872,30 @@ } ], "source": [ - "\n", - "density = True\n", - "cumulative = True\n", - "histtype = 'step'\n", - "lw = 2\n", - "bins = {\n", - " 'stim_energy': np.arange(0, .4, .01),\n", - " 'stim_half_width': np.arange(0, 1.5, .01),\n", - " 'stim_p_max': np.arange(0, 1, .01),\n", - " 'stim_strength': np.arange(0, 50, 1)\n", - "}\n", "xlabel = {\n", " 'stim_energy': 'Coherence energy',\n", " 'stim_half_width': '(Hz)',\n", " 'stim_p_max': 'Peak coherence',\n", " 'stim_strength': 'Ratio',\n", + " 'stim_vec_len': 'a.u.',\n", + " 'stim_ang': 'rad'\n", "}\n", "# key = 'theta_energy'\n", "# key = 'theta_peak'\n", "for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:\n", - " for key in bins:\n", - " results[cell_type][key] = pd.DataFrame()\n", - " fig = plt.figure(figsize=(3.2,2.2))\n", + " for key in xlabel:\n", + " fig = plt.figure(figsize=(3.3,2.2))\n", " plt.suptitle(key + ' ' + cell_type)\n", " legend_lines = []\n", - " for color, query, label in zip(colors[1::2], queries[1::2], labels[1::2]):\n", - " values = data.query(query + ' and ' + cell_type)[key]\n", - " results[cell_type][key] = pd.concat([\n", - " results[cell_type][key], \n", - " values.rename(label).reset_index(drop=True)], axis=1)\n", - " values.hist(\n", - " bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n", - " histtype=histtype, color=color)\n", - " legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))\n", + " for color, label in zip(colors[1::2], labels[1::2]):\n", + " legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))\n", + " sns.kdeplot(data=results[cell_type][key].loc[:,labels[1::2]], cumulative=True, legend=False, palette=colors[1::2], common_norm=False)\n", " plt.xlabel(xlabel[key])\n", " plt.legend(\n", " handles=legend_lines,\n", " bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n", " plt.tight_layout()\n", " plt.grid(False)\n", - " plt.xlim(-0.05, bins[key].max() - bins[key].max()*0.02)\n", " despine()\n", " figname = f'spike-lfp-coherence-histogram-{key}-{cell_type}'.replace(' ', '-')\n", " fig.savefig(\n", @@ -1330,44 +910,127 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# stats" + "## polar plot" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ - "def summarize(data):\n", - " return \"{:.2f} ± {:.2f} ({})\".format(data.mean(), data.sem(), sum(~np.isnan(data)))\n", - "\n", - "\n", - "def MWU(df, keys):\n", - " '''\n", - " Mann Whitney U\n", - " '''\n", - " Uvalue, pvalue = scipy.stats.mannwhitneyu(\n", - " df[keys[0]].dropna(), \n", - " df[keys[1]].dropna(),\n", - " alternative='two-sided')\n", - "\n", - " return \"{:.2f}, {:.3f}\".format(Uvalue, pvalue)\n", - "\n", - "\n", - "def PRS(df, keys):\n", - " '''\n", - " Permutation ReSampling\n", - " '''\n", - " pvalue, observed_diff, diffs = permutation_resampling(\n", - " df[keys[0]].dropna(), \n", - " df[keys[1]].dropna(), statistic=np.median)\n", - "\n", - " return \"{:.2f}, {:.3f}\".format(observed_diff, pvalue)\n", - "\n", - "\n", - "def rename(name):\n", - " return name.replace(\"_field\", \"-field\").replace(\"_\", \" \").capitalize()" + "from septum_mec.analysis.statistics import VonMisesKDE" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "for paradigm in ['stim', 'theta']:\n", + " key = paradigm + '_vec_len'\n", + " for cell_type in ['gridcell', 'ns_inhibited', 'ns_not_inhibited']:\n", + " fig = plt.figure(figsize=(3.2,2.2))\n", + " plt.suptitle(key + ' ' + cell_type)\n", + " legend_lines = []\n", + " for color, query, label in zip(colors, queries, labels):\n", + " data_query = data.query(query + ' and ' + cell_type)\n", + " values = data_query[key].values\n", + " angles = data_query[paradigm + '_ang'].values\n", + " kde = VonMisesKDE(angles, weights=values, kappa=5)\n", + " bins = np.linspace(-np.pi, np.pi, 100)\n", + " plt.polar(bins, kde.evaluate(bins), color=color, lw=2)\n", + " plt.polar(angles, values, color=color, lw=1, ls='none', marker='.', markersize=2)\n", + "# values.hist(\n", + "# bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n", + "# histtype=histtype, color=color)\n", + " legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=2, label=label))\n", + " plt.legend(\n", + " handles=legend_lines,\n", + " bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n", + " plt.tight_layout()\n", + "# plt.grid(False)\n", + " figname = f'spike-lfp-polar-plot-{paradigm}-{cell_type}'.replace(' ', '-')\n", + " fig.savefig(\n", + " output_path / 'figures' / f'{figname}.png', \n", + " bbox_inches='tight', transparent=True)\n", + " fig.savefig(\n", + " output_path / 'figures' / f'{figname}.svg', \n", + " bbox_inches='tight', transparent=True)" ] }, { @@ -1377,20 +1040,8 @@ "outputs": [], "source": [ "stats = {}\n", - "for cell_type in results:\n", - " stat = pd.DataFrame()\n", - "\n", - " for key, df in results[cell_type].items():\n", - " Key = rename(key)\n", - " stat[Key] = df.agg(summarize)\n", - " stat[Key] = df.agg(summarize)\n", - "\n", - " for i, c1 in enumerate(df.columns):\n", - " for c2 in df.columns[i+1:]:\n", - " stat.loc[f'MWU {c1} {c2}', Key] = MWU(df, [c1, c2])\n", - " stat.loc[f'PRS {c1} {c2}', Key] = PRS(df, [c1, c2])\n", - "\n", - " stats[cell_type] = stat" + "for cell_type, result in results.items():\n", + " stats[cell_type], _ = make_statistics_table(result, labels)" ] }, { @@ -1413,6 +1064,18 @@ " stat.to_csv(output_path / \"statistics\" / f\"statistics_{cell_type}.csv\")" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for cell_type, cell_results in results.items():\n", + " for key, result in cell_results.items():\n", + " result.to_latex(output_path / \"statistics\" / f\"values_{cell_type}_{key}.tex\")\n", + " result.to_csv(output_path / \"statistics\" / f\"values_{cell_type}_{key}.csv\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1481,6 +1144,91 @@ " bbox_inches='tight', transparent=True)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# NSni vs NSi analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nsi_vs_nsni = {}\n", + "for key in keys:\n", + " df = pd.DataFrame()\n", + " dfs = [results[k][key].loc[:, ['entity', 'unit_idnum', 'Baseline I']].rename({'Baseline I': k}, axis=1) for k in ['ns_inhibited', 'ns_not_inhibited']]\n", + " df = pd.merge(*dfs, on=['entity', 'unit_idnum'], how='outer')\n", + " nsi_vs_nsni[key] = df" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nsi_vs_nsni.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "nsi_vs_nsni['theta_energy']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from septum_mec.analysis.statistics import LMM" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "LMM(nsi_vs_nsni['theta_energy'], 'ns_inhibited', 'ns_not_inhibited', 'theta_energy')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "stat, stat_vals = make_statistics_table(nsi_vs_nsni, ['ns_inhibited', 'ns_not_inhibited'], wilcoxon_test=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "stat" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "stat.to_latex(output_path / \"statistics\" / f\"statistics_nsi_vs_nsni.tex\")\n", + "stat.to_csv(output_path / \"statistics\" / f\"statistics_nsi_vs_nsni.csv\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1494,7 +1242,7 @@ "metadata": {}, "outputs": [], "source": [ - "action = project.require_action(\"stimulus-spike-lfp-response\")" + "action = project.require_action(\"stimulus-spike-lfp-response\" + lfp_location)" ] }, { @@ -1543,5 +1291,5 @@ } }, "nbformat": 4, - 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+1839-290519-2,7,100,0.05,a92b98e6-e245-45c8-ae5b-e64b49d49b7a,672,142,3.0,7.9345703125,0.04372013226721647,0.03531368784025478,7.7265032680616565,7.996224301686871,0.26972103362521427,0.010109588111152855,0.0149551651299101,0.04433645574725996,11.11068948000829,0.20623830761035064,11.024225789540887,11.208294818268138,0.18406902872725084,0.025471041653095137,0.2739143736315671,0.24147928216205672 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.csv new file mode 100644 index 000000000..affeaf6c3 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.csv @@ -0,0 +1,11 @@ +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +Baseline I,3.4e-01 ± 2.2e-02 (270),2.6e-01 ± 1.4e-02 (270),7.9e+00 ± 3.8e-02 (270),7.7e-01 ± 2.5e-02 (270),2.5e-01 ± 9.6e-03 (270),3.6e+00 ± 5.6e-02 (270),,,,,, +11 Hz,1.1e-01 ± 6.6e-03 (281),8.1e-02 ± 3.7e-03 (281),7.9e+00 ± 5.3e-02 (281),4.6e-01 ± 2.8e-02 (281),3.9e-02 ± 3.0e-03 (281),3.2e+00 ± 1.2e-01 (281),1.0e-01 ± 5.5e-03 (282),4.1e-01 ± 8.6e-02 (282),4.6e-01 ± 1.5e-02 (283),7.8e+00 ± 3.6e-01 (283),2.5e-01 ± 7.4e-03 (283),3.0e+00 ± 1.2e-01 (283) +Baseline II,3.6e-01 ± 2.6e-02 (196),2.6e-01 ± 1.6e-02 (196),8.1e+00 ± 4.0e-02 (196),7.6e-01 ± 3.0e-02 (196),2.5e-01 ± 1.1e-02 (196),3.5e+00 ± 6.8e-02 (196),,,,,, +30 Hz,7.3e-02 ± 7.0e-03 (190),6.1e-02 ± 4.8e-03 (190),8.1e+00 ± 6.7e-02 (190),3.5e-01 ± 2.1e-02 (190),1.7e-02 ± 1.2e-03 (190),3.2e+00 ± 1.2e-01 (190),1.4e-01 ± 5.9e-03 (192),3.2e-01 ± 1.5e-02 (192),5.3e-01 ± 1.9e-02 (192),1.3e+01 ± 6.8e-01 (192),3.2e-01 ± 1.0e-02 (192),3.0e+00 ± 1.2e-01 (192) +LMM Baseline I - 11 Hz,"5.3e-12, 2.4e-01","5.5e-49, 1.9e-01","9.7e-01, -6.1e-03","8.5e-05, 3.4e-01","1.6e-23, 2.1e-01","1.8e-02, 4.1e-01",,,,,, +LMM Baseline I - Baseline II,"8.4e-01, 6.2e-03","8.9e-01, -3.6e-03","8.4e-03, 2.4e-01","8.8e-01, 6.1e-03","1.6e-01, -1.3e-02","7.3e-01, -4.5e-02",,,,,, +LMM Baseline I - 30 Hz,"2.2e-09, 2.8e-01","1.0e-18, 2.1e-01","1.3e-01, -2.9e-01","8.9e-05, 4.4e-01","3.3e-28, 2.3e-01","6.2e-03, 3.3e-01",,,,,, +LMM 11 Hz - Baseline II,"2.4e-09, 2.6e-01","3.1e-12, 1.9e-01","1.6e-01, 2.5e-01","9.9e-13, 3.5e-01","4.3e-14, 2.1e-01","1.4e-01, 2.6e-01",,,,,, +LMM 11 Hz - 30 Hz,"7.3e-03, -4.5e-02","1.8e-02, -2.0e-02","1.8e-02, 2.6e-01","6.3e-02, -1.1e-01","3.0e-09, -1.5e-02","7.5e-01, 6.6e-02","1.3e-01, 3.3e-02","5.9e-01, 4.9e-02","4.0e-01, 4.8e-02","8.3e-02, 5.3e+00","3.1e-02, 7.0e-02","8.9e-01, -3.1e-02" +LMM Baseline II - 30 Hz,"6.3e-07, 2.9e-01","2.3e-09, 2.1e-01","8.7e-01, -2.8e-02","1.7e-23, 4.5e-01","1.6e-32, 2.3e-01","2.5e-01, 2.1e-01",,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.tex new file mode 100644 index 000000000..526bc3947 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs.tex @@ -0,0 +1,16 @@ +\begin{tabular}{lllllllllllll} +\toprule +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ +\midrule +Baseline I & 3.4e-01 ± 2.2e-02 (270) & 2.6e-01 ± 1.4e-02 (270) & 7.9e+00 ± 3.8e-02 (270) & 7.7e-01 ± 2.5e-02 (270) & 2.5e-01 ± 9.6e-03 (270) & 3.6e+00 ± 5.6e-02 (270) & NaN & NaN & NaN & NaN & NaN & NaN \\ +11 Hz & 1.1e-01 ± 6.6e-03 (281) & 8.1e-02 ± 3.7e-03 (281) & 7.9e+00 ± 5.3e-02 (281) & 4.6e-01 ± 2.8e-02 (281) & 3.9e-02 ± 3.0e-03 (281) & 3.2e+00 ± 1.2e-01 (281) & 1.0e-01 ± 5.5e-03 (282) & 4.1e-01 ± 8.6e-02 (282) & 4.6e-01 ± 1.5e-02 (283) & 7.8e+00 ± 3.6e-01 (283) & 2.5e-01 ± 7.4e-03 (283) & 3.0e+00 ± 1.2e-01 (283) \\ +Baseline II & 3.6e-01 ± 2.6e-02 (196) & 2.6e-01 ± 1.6e-02 (196) & 8.1e+00 ± 4.0e-02 (196) & 7.6e-01 ± 3.0e-02 (196) & 2.5e-01 ± 1.1e-02 (196) & 3.5e+00 ± 6.8e-02 (196) & NaN & NaN & NaN & NaN & NaN & NaN \\ +30 Hz & 7.3e-02 ± 7.0e-03 (190) & 6.1e-02 ± 4.8e-03 (190) & 8.1e+00 ± 6.7e-02 (190) & 3.5e-01 ± 2.1e-02 (190) & 1.7e-02 ± 1.2e-03 (190) & 3.2e+00 ± 1.2e-01 (190) & 1.4e-01 ± 5.9e-03 (192) & 3.2e-01 ± 1.5e-02 (192) & 5.3e-01 ± 1.9e-02 (192) & 1.3e+01 ± 6.8e-01 (192) & 3.2e-01 ± 1.0e-02 (192) & 3.0e+00 ± 1.2e-01 (192) \\ +LMM Baseline I - 11 Hz & 5.3e-12, 2.4e-01 & 5.5e-49, 1.9e-01 & 9.7e-01, -6.1e-03 & 8.5e-05, 3.4e-01 & 1.6e-23, 2.1e-01 & 1.8e-02, 4.1e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - Baseline II & 8.4e-01, 6.2e-03 & 8.9e-01, -3.6e-03 & 8.4e-03, 2.4e-01 & 8.8e-01, 6.1e-03 & 1.6e-01, -1.3e-02 & 7.3e-01, -4.5e-02 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - 30 Hz & 2.2e-09, 2.8e-01 & 1.0e-18, 2.1e-01 & 1.3e-01, -2.9e-01 & 8.9e-05, 4.4e-01 & 3.3e-28, 2.3e-01 & 6.2e-03, 3.3e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - Baseline II & 2.4e-09, 2.6e-01 & 3.1e-12, 1.9e-01 & 1.6e-01, 2.5e-01 & 9.9e-13, 3.5e-01 & 4.3e-14, 2.1e-01 & 1.4e-01, 2.6e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - 30 Hz & 7.3e-03, -4.5e-02 & 1.8e-02, -2.0e-02 & 1.8e-02, 2.6e-01 & 6.3e-02, -1.1e-01 & 3.0e-09, -1.5e-02 & 7.5e-01, 6.6e-02 & 1.3e-01, 3.3e-02 & 5.9e-01, 4.9e-02 & 4.0e-01, 4.8e-02 & 8.3e-02, 5.3e+00 & 3.1e-02, 7.0e-02 & 8.9e-01, -3.1e-02 \\ +LMM Baseline II - 30 Hz & 6.3e-07, 2.9e-01 & 2.3e-09, 2.1e-01 & 8.7e-01, -2.8e-02 & 1.7e-23, 4.5e-01 & 1.6e-32, 2.3e-01 & 2.5e-01, 2.1e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.csv new file mode 100644 index 000000000..576c16493 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.csv @@ -0,0 +1,11 @@ +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +Baseline I,3.8e-01 ± 2.7e-02 (211),2.7e-01 ± 1.6e-02 (211),7.9e+00 ± 4.6e-02 (211),7.9e-01 ± 3.1e-02 (211),2.7e-01 ± 1.2e-02 (211),3.5e+00 ± 6.5e-02 (211),,,,,, +11 Hz,1.2e-01 ± 7.5e-03 (227),8.3e-02 ± 4.3e-03 (227),7.9e+00 ± 5.8e-02 (227),4.8e-01 ± 3.2e-02 (227),4.1e-02 ± 4.1e-03 (227),3.1e+00 ± 1.3e-01 (227),1.0e-01 ± 6.2e-03 (226),4.6e-01 ± 1.0e-01 (226),4.5e-01 ± 1.6e-02 (227),7.6e+00 ± 4.2e-01 (227),2.5e-01 ± 8.6e-03 (227),3.1e+00 ± 1.4e-01 (227) +Baseline II,3.9e-01 ± 3.1e-02 (154),2.7e-01 ± 1.9e-02 (154),8.1e+00 ± 4.7e-02 (154),8.0e-01 ± 3.6e-02 (154),2.7e-01 ± 1.4e-02 (154),3.5e+00 ± 7.4e-02 (154),,,,,, +30 Hz,7.3e-02 ± 5.4e-03 (161),6.1e-02 ± 3.9e-03 (161),8.1e+00 ± 7.2e-02 (161),3.7e-01 ± 2.5e-02 (161),1.8e-02 ± 1.3e-03 (161),3.2e+00 ± 1.3e-01 (161),1.4e-01 ± 6.6e-03 (165),3.3e-01 ± 1.7e-02 (165),5.4e-01 ± 2.1e-02 (165),1.3e+01 ± 7.7e-01 (165),3.2e-01 ± 1.1e-02 (165),3.1e+00 ± 1.4e-01 (165) +LMM Baseline I - 11 Hz,"1.8e-11, 2.6e-01","5.9e-30, 2.0e-01","1.0e+00, -8.4e-04","5.5e-04, 3.4e-01","5.0e-38, 2.3e-01","2.5e-02, 4.5e-01",,,,,, +LMM Baseline I - Baseline II,"7.1e-01, 1.5e-02","8.8e-01, 6.2e-03",,"7.1e-01, 2.9e-02","7.5e-01, -3.9e-03","1.6e-01, -7.7e-02",,,,,, +LMM Baseline I - 30 Hz,"1.3e-12, 3.2e-01","7.7e-23, 2.3e-01","1.7e-01, -2.5e-01","4.0e-07, 4.3e-01","3.2e-45, 2.5e-01","2.7e-02, 2.9e-01",,,,,, +LMM 11 Hz - Baseline II,"7.3e-16, 2.8e-01","9.6e-14, 2.0e-01","1.5e-01, 2.5e-01","3.7e-09, 3.6e-01","1.3e-45, 2.3e-01","2.0e-01, 3.0e-01",,,,,, +LMM 11 Hz - 30 Hz,"7.8e-03, -4.9e-02","1.9e-02, -2.4e-02","2.2e-02, 2.3e-01","9.0e-02, -1.2e-01","3.9e-04, -1.7e-02","4.8e-01, 1.5e-01","8.8e-02, 3.3e-02","6.8e-01, 5.4e-02","2.9e-01, 6.8e-02","1.4e-06, 5.7e+00","1.3e-02, 7.4e-02","9.2e-01, 2.6e-02" +LMM Baseline II - 30 Hz,"6.6e-17, 3.3e-01","1.1e-72, 2.2e-01","9.2e-01, 1.7e-02","4.8e-19, 4.6e-01","1.2e-38, 2.5e-01","4.8e-01, 1.5e-01",,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.tex new file mode 100644 index 000000000..6dea4912a --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_bs_not_gridcell.tex @@ -0,0 +1,16 @@ +\begin{tabular}{lllllllllllll} +\toprule +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ +\midrule +Baseline I & 3.8e-01 ± 2.7e-02 (211) & 2.7e-01 ± 1.6e-02 (211) & 7.9e+00 ± 4.6e-02 (211) & 7.9e-01 ± 3.1e-02 (211) & 2.7e-01 ± 1.2e-02 (211) & 3.5e+00 ± 6.5e-02 (211) & NaN & NaN & NaN & NaN & NaN & NaN \\ +11 Hz & 1.2e-01 ± 7.5e-03 (227) & 8.3e-02 ± 4.3e-03 (227) & 7.9e+00 ± 5.8e-02 (227) & 4.8e-01 ± 3.2e-02 (227) & 4.1e-02 ± 4.1e-03 (227) & 3.1e+00 ± 1.3e-01 (227) & 1.0e-01 ± 6.2e-03 (226) & 4.6e-01 ± 1.0e-01 (226) & 4.5e-01 ± 1.6e-02 (227) & 7.6e+00 ± 4.2e-01 (227) & 2.5e-01 ± 8.6e-03 (227) & 3.1e+00 ± 1.4e-01 (227) \\ +Baseline II & 3.9e-01 ± 3.1e-02 (154) & 2.7e-01 ± 1.9e-02 (154) & 8.1e+00 ± 4.7e-02 (154) & 8.0e-01 ± 3.6e-02 (154) & 2.7e-01 ± 1.4e-02 (154) & 3.5e+00 ± 7.4e-02 (154) & NaN & NaN & NaN & NaN & NaN & NaN \\ +30 Hz & 7.3e-02 ± 5.4e-03 (161) & 6.1e-02 ± 3.9e-03 (161) & 8.1e+00 ± 7.2e-02 (161) & 3.7e-01 ± 2.5e-02 (161) & 1.8e-02 ± 1.3e-03 (161) & 3.2e+00 ± 1.3e-01 (161) & 1.4e-01 ± 6.6e-03 (165) & 3.3e-01 ± 1.7e-02 (165) & 5.4e-01 ± 2.1e-02 (165) & 1.3e+01 ± 7.7e-01 (165) & 3.2e-01 ± 1.1e-02 (165) & 3.1e+00 ± 1.4e-01 (165) \\ +LMM Baseline I - 11 Hz & 1.8e-11, 2.6e-01 & 5.9e-30, 2.0e-01 & 1.0e+00, -8.4e-04 & 5.5e-04, 3.4e-01 & 5.0e-38, 2.3e-01 & 2.5e-02, 4.5e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - Baseline II & 7.1e-01, 1.5e-02 & 8.8e-01, 6.2e-03 & NaN & 7.1e-01, 2.9e-02 & 7.5e-01, -3.9e-03 & 1.6e-01, -7.7e-02 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - 30 Hz & 1.3e-12, 3.2e-01 & 7.7e-23, 2.3e-01 & 1.7e-01, -2.5e-01 & 4.0e-07, 4.3e-01 & 3.2e-45, 2.5e-01 & 2.7e-02, 2.9e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - Baseline II & 7.3e-16, 2.8e-01 & 9.6e-14, 2.0e-01 & 1.5e-01, 2.5e-01 & 3.7e-09, 3.6e-01 & 1.3e-45, 2.3e-01 & 2.0e-01, 3.0e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - 30 Hz & 7.8e-03, -4.9e-02 & 1.9e-02, -2.4e-02 & 2.2e-02, 2.3e-01 & 9.0e-02, -1.2e-01 & 3.9e-04, -1.7e-02 & 4.8e-01, 1.5e-01 & 8.8e-02, 3.3e-02 & 6.8e-01, 5.4e-02 & 2.9e-01, 6.8e-02 & 1.4e-06, 5.7e+00 & 1.3e-02, 7.4e-02 & 9.2e-01, 2.6e-02 \\ +LMM Baseline II - 30 Hz & 6.6e-17, 3.3e-01 & 1.1e-72, 2.2e-01 & 9.2e-01, 1.7e-02 & 4.8e-19, 4.6e-01 & 1.2e-38, 2.5e-01 & 4.8e-01, 1.5e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.csv index 65e143778..c9f038439 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.csv +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.csv @@ -1,17 +1,11 @@ -,Theta energy,Theta peak,Theta freq,Theta half width,Stim energy,Stim half width,Stim p max,Stim strength -Baseline I,0.22 ± 0.03 (66),0.21 ± 0.02 (66),7.77 ± 0.07 (66),0.65 ± 0.03 (66),,,, -11 Hz,0.07 ± 0.01 (62),0.06 ± 0.01 (62),7.91 ± 0.12 (62),0.29 ± 0.02 (62),0.07 ± 0.01 (62),0.21 ± 0.01 (62),0.41 ± 0.03 (62),10.15 ± 0.85 (62) -Baseline II,0.19 ± 0.03 (56),0.16 ± 0.02 (56),7.94 ± 0.07 (56),0.64 ± 0.04 (56),,,, -30 Hz,0.05 ± 0.01 (40),0.05 ± 0.01 (40),8.22 ± 0.15 (40),0.25 ± 0.02 (40),0.10 ± 0.01 (40),0.25 ± 0.00 (40),0.43 ± 0.03 (40),11.34 ± 1.15 (40) -MWU Baseline I 11 Hz,"3146.00, 0.000","3317.00, 0.000","1886.00, 0.446","3557.00, 0.000",,,, -PRS Baseline I 11 Hz,"0.11, 0.000","0.14, 0.000","0.31, 0.031","0.47, 0.000",,,, -MWU Baseline I Baseline II,"2040.00, 0.325","2106.00, 0.186","1368.50, 0.013","1992.00, 0.461",,,, -PRS Baseline I Baseline II,"0.06, 0.107","0.06, 0.114","0.24, 0.000","0.13, 0.158",,,, -MWU Baseline I 30 Hz,"2156.00, 0.000","2189.00, 0.000","834.50, 0.002","2389.00, 0.000",,,, -PRS Baseline I 30 Hz,"0.11, 0.001","0.14, 0.000","0.85, 0.000","0.47, 0.000",,,, -MWU 11 Hz Baseline II,"878.00, 0.000","753.00, 0.000","1668.50, 0.717","518.00, 0.000",,,, -PRS 11 Hz Baseline II,"0.06, 0.000","0.07, 0.000","0.06, 0.270","0.33, 0.000",,,, -MWU 11 Hz 30 Hz,"1372.00, 0.367","1306.00, 0.653","1003.00, 0.105","1355.00, 0.433","771.00, 0.001","433.00, 0.000","1164.00, 0.605","1085.00, 0.290" -PRS 11 Hz 30 Hz,"0.00, 0.897","0.00, 0.596","0.55, 0.027","0.01, 0.706","0.04, 0.001","0.05, 0.000","0.01, 0.916","1.49, 0.409" -MWU Baseline II 30 Hz,"1829.00, 0.000","1845.00, 0.000","757.00, 0.007","2023.00, 0.000",,,, -PRS Baseline II 30 Hz,"0.06, 0.000","0.08, 0.000","0.61, 0.000","0.34, 0.000",,,, +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +Baseline I,2.9e-01 ± 3.5e-02 (63),2.4e-01 ± 2.6e-02 (63),7.8e+00 ± 7.0e-02 (63),7.0e-01 ± 3.9e-02 (63),2.3e-01 ± 1.3e-02 (63),3.6e+00 ± 1.3e-01 (63),,,,,, +11 Hz,8.7e-02 ± 1.2e-02 (56),6.9e-02 ± 6.3e-03 (56),7.8e+00 ± 1.3e-01 (56),3.5e-01 ± 3.0e-02 (56),3.8e-02 ± 3.3e-03 (56),3.6e+00 ± 2.3e-01 (56),9.7e-02 ± 1.0e-02 (58),2.3e-01 ± 8.5e-03 (58),4.7e-01 ± 3.2e-02 (58),8.9e+00 ± 7.4e-01 (58),2.5e-01 ± 1.6e-02 (58),3.2e+00 ± 2.5e-01 (58) +Baseline II,3.3e-01 ± 3.7e-02 (46),2.8e-01 ± 2.6e-02 (46),8.1e+00 ± 5.0e-02 (46),6.6e-01 ± 5.0e-02 (46),2.4e-01 ± 1.6e-02 (46),3.7e+00 ± 1.0e-01 (46),,,,,, +30 Hz,1.6e-01 ± 5.4e-02 (35),1.2e-01 ± 3.7e-02 (35),8.3e+00 ± 1.6e-01 (35),4.2e-01 ± 6.3e-02 (35),1.8e-02 ± 3.1e-03 (35),2.6e+00 ± 3.2e-01 (35),1.0e-01 ± 1.0e-02 (33),2.6e-01 ± 6.0e-03 (33),4.3e-01 ± 3.8e-02 (33),1.3e+01 ± 1.3e+00 (33),2.6e-01 ± 1.8e-02 (33),2.5e+00 ± 2.2e-01 (33) +LMM Baseline I - 11 Hz,"6.4e-194, 2.0e-01","8.8e-09, 1.8e-01","3.3e-01, -2.2e-01","5.1e-13, 3.8e-01","2.5e-06, 2.0e-01","6.4e-01, 1.9e-01",,,,,, +LMM Baseline I - Baseline II,"1.8e-01, -5.7e-02",,"6.4e-02, 2.6e-01",,"4.9e-02, -3.9e-02",,,,,,, +LMM Baseline I - 30 Hz,"2.6e-01, 1.4e-01","5.1e-02, 1.4e-01","1.2e-01, -5.4e-01","3.1e-02, 3.3e-01","4.2e-04, 2.1e-01","1.5e-02, 8.0e-01",,,,,, +LMM 11 Hz - Baseline II,"9.2e-02, 2.3e-01","5.8e-03, 2.0e-01","6.8e-01, 1.4e-01","6.6e-03, 3.4e-01","1.2e-03, 1.8e-01","5.6e-01, 2.6e-01",,,,,, +LMM 11 Hz - 30 Hz,"5.8e-01, 6.7e-02","4.8e-01, 5.4e-02","3.4e-01, 4.1e-01",,"2.0e-02, -1.5e-02","1.1e-02, -5.1e-01","8.0e-01, 8.4e-03","3.0e-03, 4.3e-02","9.2e-01, -6.2e-03","3.0e-01, 3.4e+00","7.0e-01, 2.2e-02","1.2e-02, -6.6e-01" +LMM Baseline II - 30 Hz,"2.7e-01, 2.1e-01","9.2e-02, 1.6e-01","3.7e-01, -2.8e-01","9.0e-30, 3.9e-01","1.1e-06, 1.9e-01","5.8e-01, 6.6e-01",,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.tex index bdda1e133..6fbf95c2e 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.tex +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_gridcell.tex @@ -1,22 +1,16 @@ -\begin{tabular}{lllllllll} +\begin{tabular}{lllllllllllll} \toprule -{} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\ +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ \midrule -Baseline I & 0.22 ± 0.03 (66) & 0.21 ± 0.02 (66) & 7.77 ± 0.07 (66) & 0.65 ± 0.03 (66) & NaN & NaN & NaN & NaN \\ -11 Hz & 0.07 ± 0.01 (62) & 0.06 ± 0.01 (62) & 7.91 ± 0.12 (62) & 0.29 ± 0.02 (62) & 0.07 ± 0.01 (62) & 0.21 ± 0.01 (62) & 0.41 ± 0.03 (62) & 10.15 ± 0.85 (62) \\ -Baseline II & 0.19 ± 0.03 (56) & 0.16 ± 0.02 (56) & 7.94 ± 0.07 (56) & 0.64 ± 0.04 (56) & NaN & NaN & NaN & NaN \\ -30 Hz & 0.05 ± 0.01 (40) & 0.05 ± 0.01 (40) & 8.22 ± 0.15 (40) & 0.25 ± 0.02 (40) & 0.10 ± 0.01 (40) & 0.25 ± 0.00 (40) & 0.43 ± 0.03 (40) & 11.34 ± 1.15 (40) \\ -MWU Baseline I 11 Hz & 3146.00, 0.000 & 3317.00, 0.000 & 1886.00, 0.446 & 3557.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 11 Hz & 0.11, 0.000 & 0.14, 0.000 & 0.31, 0.031 & 0.47, 0.000 & NaN & NaN & NaN & NaN \\ -MWU Baseline I Baseline II & 2040.00, 0.325 & 2106.00, 0.186 & 1368.50, 0.013 & 1992.00, 0.461 & NaN & NaN & NaN & NaN \\ -PRS Baseline I Baseline II & 0.06, 0.107 & 0.06, 0.114 & 0.24, 0.000 & 0.13, 0.158 & NaN & NaN & NaN & NaN \\ -MWU Baseline I 30 Hz & 2156.00, 0.000 & 2189.00, 0.000 & 834.50, 0.002 & 2389.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 30 Hz & 0.11, 0.001 & 0.14, 0.000 & 0.85, 0.000 & 0.47, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz Baseline II & 878.00, 0.000 & 753.00, 0.000 & 1668.50, 0.717 & 518.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS 11 Hz Baseline II & 0.06, 0.000 & 0.07, 0.000 & 0.06, 0.270 & 0.33, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz 30 Hz & 1372.00, 0.367 & 1306.00, 0.653 & 1003.00, 0.105 & 1355.00, 0.433 & 771.00, 0.001 & 433.00, 0.000 & 1164.00, 0.605 & 1085.00, 0.290 \\ -PRS 11 Hz 30 Hz & 0.00, 0.897 & 0.00, 0.596 & 0.55, 0.027 & 0.01, 0.706 & 0.04, 0.001 & 0.05, 0.000 & 0.01, 0.916 & 1.49, 0.409 \\ -MWU Baseline II 30 Hz & 1829.00, 0.000 & 1845.00, 0.000 & 757.00, 0.007 & 2023.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline II 30 Hz & 0.06, 0.000 & 0.08, 0.000 & 0.61, 0.000 & 0.34, 0.000 & NaN & NaN & NaN & NaN \\ +Baseline I & 2.9e-01 ± 3.5e-02 (63) & 2.4e-01 ± 2.6e-02 (63) & 7.8e+00 ± 7.0e-02 (63) & 7.0e-01 ± 3.9e-02 (63) & 2.3e-01 ± 1.3e-02 (63) & 3.6e+00 ± 1.3e-01 (63) & NaN & NaN & NaN & NaN & NaN & NaN \\ +11 Hz & 8.7e-02 ± 1.2e-02 (56) & 6.9e-02 ± 6.3e-03 (56) & 7.8e+00 ± 1.3e-01 (56) & 3.5e-01 ± 3.0e-02 (56) & 3.8e-02 ± 3.3e-03 (56) & 3.6e+00 ± 2.3e-01 (56) & 9.7e-02 ± 1.0e-02 (58) & 2.3e-01 ± 8.5e-03 (58) & 4.7e-01 ± 3.2e-02 (58) & 8.9e+00 ± 7.4e-01 (58) & 2.5e-01 ± 1.6e-02 (58) & 3.2e+00 ± 2.5e-01 (58) \\ +Baseline II & 3.3e-01 ± 3.7e-02 (46) & 2.8e-01 ± 2.6e-02 (46) & 8.1e+00 ± 5.0e-02 (46) & 6.6e-01 ± 5.0e-02 (46) & 2.4e-01 ± 1.6e-02 (46) & 3.7e+00 ± 1.0e-01 (46) & NaN & NaN & NaN & NaN & NaN & NaN \\ +30 Hz & 1.6e-01 ± 5.4e-02 (35) & 1.2e-01 ± 3.7e-02 (35) & 8.3e+00 ± 1.6e-01 (35) & 4.2e-01 ± 6.3e-02 (35) & 1.8e-02 ± 3.1e-03 (35) & 2.6e+00 ± 3.2e-01 (35) & 1.0e-01 ± 1.0e-02 (33) & 2.6e-01 ± 6.0e-03 (33) & 4.3e-01 ± 3.8e-02 (33) & 1.3e+01 ± 1.3e+00 (33) & 2.6e-01 ± 1.8e-02 (33) & 2.5e+00 ± 2.2e-01 (33) \\ +LMM Baseline I - 11 Hz & 6.4e-194, 2.0e-01 & 8.8e-09, 1.8e-01 & 3.3e-01, -2.2e-01 & 5.1e-13, 3.8e-01 & 2.5e-06, 2.0e-01 & 6.4e-01, 1.9e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - Baseline II & 1.8e-01, -5.7e-02 & NaN & 6.4e-02, 2.6e-01 & NaN & 4.9e-02, -3.9e-02 & NaN & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - 30 Hz & 2.6e-01, 1.4e-01 & 5.1e-02, 1.4e-01 & 1.2e-01, -5.4e-01 & 3.1e-02, 3.3e-01 & 4.2e-04, 2.1e-01 & 1.5e-02, 8.0e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - Baseline II & 9.2e-02, 2.3e-01 & 5.8e-03, 2.0e-01 & 6.8e-01, 1.4e-01 & 6.6e-03, 3.4e-01 & 1.2e-03, 1.8e-01 & 5.6e-01, 2.6e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - 30 Hz & 5.8e-01, 6.7e-02 & 4.8e-01, 5.4e-02 & 3.4e-01, 4.1e-01 & NaN & 2.0e-02, -1.5e-02 & 1.1e-02, -5.1e-01 & 8.0e-01, 8.4e-03 & 3.0e-03, 4.3e-02 & 9.2e-01, -6.2e-03 & 3.0e-01, 3.4e+00 & 7.0e-01, 2.2e-02 & 1.2e-02, -6.6e-01 \\ +LMM Baseline II - 30 Hz & 2.7e-01, 2.1e-01 & 9.2e-02, 1.6e-01 & 3.7e-01, -2.8e-01 & 9.0e-30, 3.9e-01 & 1.1e-06, 1.9e-01 & 5.8e-01, 6.6e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ \bottomrule \end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.csv index ec99e8b68..c505a5ac7 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.csv +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.csv @@ -1,17 +1,11 @@ -,Theta energy,Theta peak,Theta freq,Theta half width,Stim energy,Stim half width,Stim p max,Stim strength -Baseline I,1.10 ± 0.10 (17),0.66 ± 0.04 (17),7.66 ± 0.06 (17),1.36 ± 0.08 (17),,,, -11 Hz,0.23 ± 0.04 (34),0.13 ± 0.02 (34),7.83 ± 0.11 (34),0.70 ± 0.11 (34),0.16 ± 0.03 (34),0.56 ± 0.31 (34),0.56 ± 0.04 (34),8.12 ± 1.12 (34) -Baseline II,0.94 ± 0.12 (21),0.56 ± 0.05 (21),7.81 ± 0.08 (21),1.34 ± 0.12 (21),,,, -30 Hz,0.11 ± 0.02 (36),0.09 ± 0.01 (36),8.36 ± 0.13 (36),0.45 ± 0.05 (36),0.15 ± 0.01 (36),0.31 ± 0.02 (36),0.55 ± 0.04 (36),10.39 ± 1.70 (36) -MWU Baseline I 11 Hz,"550.00, 0.000","568.00, 0.000","223.50, 0.193","477.00, 0.000",,,, -PRS Baseline I 11 Hz,"1.02, 0.000","0.63, 0.000","0.24, 0.085","0.87, 0.002",,,, -MWU Baseline I Baseline II,"215.00, 0.291","235.00, 0.100","123.00, 0.102","192.00, 0.703",,,, -PRS Baseline I Baseline II,"0.30, 0.263","0.12, 0.295","0.12, 0.009","0.05, 0.594",,,, -MWU Baseline I 30 Hz,"606.00, 0.000","607.00, 0.000","89.00, 0.000","594.00, 0.000",,,, -PRS Baseline I 30 Hz,"1.07, 0.000","0.64, 0.000","0.61, 0.001","0.92, 0.000",,,, -MWU 11 Hz Baseline II,"84.00, 0.000","57.00, 0.000","391.50, 0.554","143.00, 0.000",,,, -PRS 11 Hz Baseline II,"0.72, 0.000","0.51, 0.000","0.12, 0.152","0.82, 0.003",,,, -MWU 11 Hz 30 Hz,"756.00, 0.092","715.00, 0.228","362.50, 0.003","701.00, 0.298","576.00, 0.677","376.00, 0.006","597.00, 0.865","562.00, 0.561" -PRS 11 Hz 30 Hz,"0.05, 0.226","0.02, 0.406","0.37, 0.017","0.05, 0.451","0.01, 0.585","0.02, 0.073","0.00, 0.923","1.25, 0.684" -MWU Baseline II 30 Hz,"701.00, 0.000","704.00, 0.000","154.50, 0.000","709.00, 0.000",,,, -PRS Baseline II 30 Hz,"0.78, 0.000","0.52, 0.000","0.49, 0.003","0.87, 0.000",,,, +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +Baseline I,9.9e-01 ± 1.6e-01 (12),5.9e-01 ± 7.2e-02 (12),7.9e+00 ± 1.1e-01 (12),1.3e+00 ± 1.3e-01 (12),3.1e-01 ± 4.6e-02 (12),3.3e+00 ± 2.3e-01 (12),,,,,, +11 Hz,1.6e-01 ± 3.1e-02 (25),9.7e-02 ± 1.4e-02 (25),7.9e+00 ± 1.3e-01 (25),6.2e-01 ± 1.1e-01 (25),2.4e-02 ± 4.6e-03 (25),3.5e+00 ± 3.6e-01 (25),1.2e-01 ± 1.4e-02 (25),2.4e-01 ± 1.0e-02 (25),5.4e-01 ± 4.0e-02 (25),7.1e+00 ± 7.9e-01 (25),2.5e-01 ± 2.6e-02 (25),3.7e+00 ± 4.2e-01 (25) +Baseline II,1.0e+00 ± 1.7e-01 (17),5.4e-01 ± 6.3e-02 (17),8.1e+00 ± 8.9e-02 (17),1.5e+00 ± 2.1e-01 (17),3.2e-01 ± 4.2e-02 (17),3.4e+00 ± 6.2e-02 (17),,,,,, +30 Hz,1.3e-01 ± 2.1e-02 (32),9.5e-02 ± 1.4e-02 (32),8.4e+00 ± 1.6e-01 (32),6.2e-01 ± 9.9e-02 (32),1.3e-02 ± 3.1e-03 (32),2.7e+00 ± 2.7e-01 (32),1.5e-01 ± 1.6e-02 (32),3.3e-01 ± 1.9e-02 (32),5.3e-01 ± 4.7e-02 (32),1.2e+01 ± 1.9e+00 (32),2.3e-01 ± 2.2e-02 (32),3.6e+00 ± 3.2e-01 (32) +LMM Baseline I - 11 Hz,"1.4e-05, 8.0e-01","4.4e-12, 5.0e-01","8.3e-01, -4.8e-02",,"3.1e-10, 2.9e-01","8.1e-01, -1.3e-01",,,,,, +LMM Baseline I - Baseline II,"6.2e-01, 1.3e-01","8.6e-01, -2.0e-02","8.9e-01, 9.2e-02","3.7e-01, 3.4e-01","5.8e-01, 3.9e-02",,,,,,, +LMM Baseline I - 30 Hz,"5.8e-10, 8.6e-01","7.3e-11, 5.0e-01","8.4e-02, -5.2e-01","1.7e-04, 6.0e-01","2.9e-43, 3.1e-01","4.7e-01, 5.4e-01",,,,,, +LMM 11 Hz - Baseline II,"1.3e-02, 8.7e-01","4.1e-04, 4.5e-01","8.5e-01, 5.9e-02","5.2e-03, 7.1e-01","4.0e-05, 3.0e-01","8.4e-01, -1.1e-01",,,,,, +LMM 11 Hz - 30 Hz,"1.6e-01, -4.7e-02","9.3e-01, -1.9e-03","1.8e-01, 4.5e-01","4.0e-01, -1.3e-01","2.1e-01, -1.1e-02","1.6e-01, -8.2e-01","3.3e-01, 3.1e-02","1.4e-03, 8.1e-02",,"2.0e-01, 3.1e+00","6.5e-01, -2.1e-02","4.7e-01, -3.8e-01" +LMM Baseline II - 30 Hz,"1.4e-03, 9.0e-01","1.5e-04, 4.5e-01","4.8e-01, -5.3e-01","2.2e-04, 8.5e-01","3.7e-06, 3.2e-01",,,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.tex index 86b3f2a91..674d0b8b3 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.tex +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_inhibited.tex @@ -1,22 +1,16 @@ -\begin{tabular}{lllllllll} +\begin{tabular}{lllllllllllll} \toprule -{} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\ +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ \midrule -Baseline I & 1.10 ± 0.10 (17) & 0.66 ± 0.04 (17) & 7.66 ± 0.06 (17) & 1.36 ± 0.08 (17) & NaN & NaN & NaN & NaN \\ -11 Hz & 0.23 ± 0.04 (34) & 0.13 ± 0.02 (34) & 7.83 ± 0.11 (34) & 0.70 ± 0.11 (34) & 0.16 ± 0.03 (34) & 0.56 ± 0.31 (34) & 0.56 ± 0.04 (34) & 8.12 ± 1.12 (34) \\ -Baseline II & 0.94 ± 0.12 (21) & 0.56 ± 0.05 (21) & 7.81 ± 0.08 (21) & 1.34 ± 0.12 (21) & NaN & NaN & NaN & NaN \\ -30 Hz & 0.11 ± 0.02 (36) & 0.09 ± 0.01 (36) & 8.36 ± 0.13 (36) & 0.45 ± 0.05 (36) & 0.15 ± 0.01 (36) & 0.31 ± 0.02 (36) & 0.55 ± 0.04 (36) & 10.39 ± 1.70 (36) \\ -MWU Baseline I 11 Hz & 550.00, 0.000 & 568.00, 0.000 & 223.50, 0.193 & 477.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 11 Hz & 1.02, 0.000 & 0.63, 0.000 & 0.24, 0.085 & 0.87, 0.002 & NaN & NaN & NaN & NaN \\ -MWU Baseline I Baseline II & 215.00, 0.291 & 235.00, 0.100 & 123.00, 0.102 & 192.00, 0.703 & NaN & NaN & NaN & NaN \\ -PRS Baseline I Baseline II & 0.30, 0.263 & 0.12, 0.295 & 0.12, 0.009 & 0.05, 0.594 & NaN & NaN & NaN & NaN \\ -MWU Baseline I 30 Hz & 606.00, 0.000 & 607.00, 0.000 & 89.00, 0.000 & 594.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 30 Hz & 1.07, 0.000 & 0.64, 0.000 & 0.61, 0.001 & 0.92, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz Baseline II & 84.00, 0.000 & 57.00, 0.000 & 391.50, 0.554 & 143.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS 11 Hz Baseline II & 0.72, 0.000 & 0.51, 0.000 & 0.12, 0.152 & 0.82, 0.003 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz 30 Hz & 756.00, 0.092 & 715.00, 0.228 & 362.50, 0.003 & 701.00, 0.298 & 576.00, 0.677 & 376.00, 0.006 & 597.00, 0.865 & 562.00, 0.561 \\ -PRS 11 Hz 30 Hz & 0.05, 0.226 & 0.02, 0.406 & 0.37, 0.017 & 0.05, 0.451 & 0.01, 0.585 & 0.02, 0.073 & 0.00, 0.923 & 1.25, 0.684 \\ -MWU Baseline II 30 Hz & 701.00, 0.000 & 704.00, 0.000 & 154.50, 0.000 & 709.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline II 30 Hz & 0.78, 0.000 & 0.52, 0.000 & 0.49, 0.003 & 0.87, 0.000 & NaN & NaN & NaN & NaN \\ +Baseline I & 9.9e-01 ± 1.6e-01 (12) & 5.9e-01 ± 7.2e-02 (12) & 7.9e+00 ± 1.1e-01 (12) & 1.3e+00 ± 1.3e-01 (12) & 3.1e-01 ± 4.6e-02 (12) & 3.3e+00 ± 2.3e-01 (12) & NaN & NaN & NaN & NaN & NaN & NaN \\ +11 Hz & 1.6e-01 ± 3.1e-02 (25) & 9.7e-02 ± 1.4e-02 (25) & 7.9e+00 ± 1.3e-01 (25) & 6.2e-01 ± 1.1e-01 (25) & 2.4e-02 ± 4.6e-03 (25) & 3.5e+00 ± 3.6e-01 (25) & 1.2e-01 ± 1.4e-02 (25) & 2.4e-01 ± 1.0e-02 (25) & 5.4e-01 ± 4.0e-02 (25) & 7.1e+00 ± 7.9e-01 (25) & 2.5e-01 ± 2.6e-02 (25) & 3.7e+00 ± 4.2e-01 (25) \\ +Baseline II & 1.0e+00 ± 1.7e-01 (17) & 5.4e-01 ± 6.3e-02 (17) & 8.1e+00 ± 8.9e-02 (17) & 1.5e+00 ± 2.1e-01 (17) & 3.2e-01 ± 4.2e-02 (17) & 3.4e+00 ± 6.2e-02 (17) & NaN & NaN & NaN & NaN & NaN & NaN \\ +30 Hz & 1.3e-01 ± 2.1e-02 (32) & 9.5e-02 ± 1.4e-02 (32) & 8.4e+00 ± 1.6e-01 (32) & 6.2e-01 ± 9.9e-02 (32) & 1.3e-02 ± 3.1e-03 (32) & 2.7e+00 ± 2.7e-01 (32) & 1.5e-01 ± 1.6e-02 (32) & 3.3e-01 ± 1.9e-02 (32) & 5.3e-01 ± 4.7e-02 (32) & 1.2e+01 ± 1.9e+00 (32) & 2.3e-01 ± 2.2e-02 (32) & 3.6e+00 ± 3.2e-01 (32) \\ +LMM Baseline I - 11 Hz & 1.4e-05, 8.0e-01 & 4.4e-12, 5.0e-01 & 8.3e-01, -4.8e-02 & NaN & 3.1e-10, 2.9e-01 & 8.1e-01, -1.3e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - Baseline II & 6.2e-01, 1.3e-01 & 8.6e-01, -2.0e-02 & 8.9e-01, 9.2e-02 & 3.7e-01, 3.4e-01 & 5.8e-01, 3.9e-02 & NaN & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - 30 Hz & 5.8e-10, 8.6e-01 & 7.3e-11, 5.0e-01 & 8.4e-02, -5.2e-01 & 1.7e-04, 6.0e-01 & 2.9e-43, 3.1e-01 & 4.7e-01, 5.4e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - Baseline II & 1.3e-02, 8.7e-01 & 4.1e-04, 4.5e-01 & 8.5e-01, 5.9e-02 & 5.2e-03, 7.1e-01 & 4.0e-05, 3.0e-01 & 8.4e-01, -1.1e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - 30 Hz & 1.6e-01, -4.7e-02 & 9.3e-01, -1.9e-03 & 1.8e-01, 4.5e-01 & 4.0e-01, -1.3e-01 & 2.1e-01, -1.1e-02 & 1.6e-01, -8.2e-01 & 3.3e-01, 3.1e-02 & 1.4e-03, 8.1e-02 & NaN & 2.0e-01, 3.1e+00 & 6.5e-01, -2.1e-02 & 4.7e-01, -3.8e-01 \\ +LMM Baseline II - 30 Hz & 1.4e-03, 9.0e-01 & 1.5e-04, 4.5e-01 & 4.8e-01, -5.3e-01 & 2.2e-04, 8.5e-01 & 3.7e-06, 3.2e-01 & NaN & NaN & NaN & NaN & NaN & NaN & NaN \\ \bottomrule \end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.csv index fced2071a..df7c28b67 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.csv +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.csv @@ -1,17 +1,11 @@ -,Theta energy,Theta peak,Theta freq,Theta half width,Stim energy,Stim half width,Stim p max,Stim strength -Baseline I,0.83 ± 0.08 (49),0.52 ± 0.04 (49),7.50 ± 0.06 (49),1.13 ± 0.08 (49),,,, -11 Hz,0.29 ± 0.04 (55),0.17 ± 0.02 (55),8.04 ± 0.08 (55),0.79 ± 0.09 (55),0.15 ± 0.02 (55),0.36 ± 0.10 (55),0.55 ± 0.04 (55),5.48 ± 0.62 (55) -Baseline II,0.84 ± 0.09 (47),0.49 ± 0.04 (47),7.83 ± 0.05 (47),1.24 ± 0.08 (47),,,, -30 Hz,0.14 ± 0.02 (34),0.11 ± 0.02 (34),8.18 ± 0.12 (34),0.49 ± 0.06 (34),0.12 ± 0.01 (34),0.36 ± 0.06 (34),0.47 ± 0.05 (34),7.97 ± 1.51 (34) -MWU Baseline I 11 Hz,"2006.00, 0.000","2148.00, 0.000","595.00, 0.000","1871.00, 0.001",,,, -PRS Baseline I 11 Hz,"0.66, 0.000","0.48, 0.000","0.37, 0.000","0.63, 0.000",,,, -MWU Baseline I Baseline II,"1127.00, 0.860","1211.00, 0.665","600.50, 0.000","1032.00, 0.383",,,, -PRS Baseline I Baseline II,"0.01, 0.914","0.03, 0.572","0.24, 0.000","0.07, 0.542",,,, -MWU Baseline I 30 Hz,"1372.00, 0.000","1415.00, 0.000","287.00, 0.000","1420.00, 0.000",,,, -PRS Baseline I 30 Hz,"0.73, 0.000","0.52, 0.000","0.73, 0.000","0.72, 0.000",,,, -MWU 11 Hz Baseline II,"584.00, 0.000","445.00, 0.000","1638.00, 0.020","696.00, 0.000",,,, -PRS 11 Hz Baseline II,"0.66, 0.000","0.45, 0.000","0.12, 0.006","0.71, 0.000",,,, -MWU 11 Hz 30 Hz,"1243.00, 0.009","1191.00, 0.031","760.00, 0.139","1182.00, 0.037","1041.00, 0.373","658.00, 0.020","1111.00, 0.138","930.00, 0.970" -PRS 11 Hz 30 Hz,"0.08, 0.049","0.03, 0.174","0.37, 0.001","0.09, 0.251","0.00, 0.651","0.02, 0.092","0.11, 0.137","0.27, 0.811" -MWU Baseline II 30 Hz,"1385.00, 0.000","1410.00, 0.000","442.50, 0.001","1397.00, 0.000",,,, -PRS Baseline II 30 Hz,"0.74, 0.000","0.49, 0.000","0.49, 0.000","0.79, 0.000",,,, +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +Baseline I,5.3e-01 ± 9.9e-02 (30),3.6e-01 ± 5.6e-02 (30),7.6e+00 ± 1.0e-01 (30),9.9e-01 ± 8.8e-02 (30),2.9e-01 ± 3.3e-02 (30),3.1e+00 ± 2.2e-01 (30),,,,,, +11 Hz,1.8e-01 ± 3.1e-02 (32),1.1e-01 ± 1.4e-02 (32),8.0e+00 ± 1.7e-01 (32),5.8e-01 ± 7.4e-02 (32),2.5e-02 ± 3.3e-03 (32),1.8e+00 ± 3.2e-01 (32),1.1e-01 ± 1.3e-02 (32),2.3e-01 ± 9.3e-03 (32),5.5e-01 ± 3.5e-02 (32),7.1e+00 ± 6.9e-01 (32),2.2e-01 ± 2.2e-02 (32),1.8e+00 ± 3.0e-01 (32) +Baseline II,7.8e-01 ± 1.3e-01 (23),4.3e-01 ± 6.1e-02 (23),8.0e+00 ± 8.9e-02 (23),1.3e+00 ± 1.2e-01 (23),3.0e-01 ± 3.5e-02 (23),3.2e+00 ± 1.6e-01 (23),,,,,, +30 Hz,1.1e-01 ± 3.9e-02 (12),7.3e-02 ± 2.5e-02 (12),8.5e+00 ± 1.6e-01 (12),4.2e-01 ± 9.5e-02 (12),1.7e-02 ± 4.1e-03 (12),1.9e+00 ± 4.9e-01 (12),1.9e-01 ± 2.8e-02 (12),3.9e-01 ± 1.1e-01 (12),6.3e-01 ± 8.5e-02 (12),1.7e+01 ± 3.1e+00 (12),3.8e-01 ± 5.3e-02 (12),3.4e+00 ± 4.4e-01 (12) +LMM Baseline I - 11 Hz,"9.3e-02, 4.4e-01","2.8e-03, 3.4e-01","2.1e-02, -5.9e-01","2.8e-01, 2.6e-01","5.2e-08, 2.8e-01","1.4e-01, 1.2e+00",,,,,, +LMM Baseline I - Baseline II,"5.4e-01, 1.7e-01","8.3e-01, 2.6e-02","1.7e-01, 3.4e-01","2.1e-01, 2.5e-01","8.3e-01, -2.5e-02",,,,,,, +LMM Baseline I - 30 Hz,"2.7e-01, 5.1e-01","1.7e-01, 3.3e-01","1.1e-03, -6.9e-01","3.4e-01, 5.1e-01","8.1e-03, 2.9e-01","4.3e-01, 7.7e-01",,,,,, +LMM 11 Hz - Baseline II,"4.5e-03, 6.2e-01","9.2e-02, 3.7e-01","8.5e-01, -1.3e-01","5.3e-03, 6.2e-01","2.0e-08, 2.9e-01","5.5e-01, 9.9e-01",,,,,, +LMM 11 Hz - 30 Hz,"5.8e-01, -9.4e-02","5.5e-01, -4.1e-02","2.4e-01, 8.6e-01","7.2e-01, -2.0e-01",,"9.4e-01, -1.2e-01","6.6e-01, 3.8e-02","3.4e-01, 6.7e-02","8.8e-01, -3.6e-02","9.0e-02, 1.1e+01","4.0e-01, 1.1e-01","5.6e-01, 9.3e-01" +LMM Baseline II - 30 Hz,,"7.3e-01, 3.9e-01",,"3.7e-03, 9.1e-01","6.5e-07, 3.4e-01","4.0e-01, 1.1e+00",,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.tex index d3518135f..b0690ce74 100644 --- a/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.tex +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_ns_not_inhibited.tex @@ -1,22 +1,16 @@ -\begin{tabular}{lllllllll} +\begin{tabular}{lllllllllllll} \toprule -{} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\ +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ \midrule -Baseline I & 0.83 ± 0.08 (49) & 0.52 ± 0.04 (49) & 7.50 ± 0.06 (49) & 1.13 ± 0.08 (49) & NaN & NaN & NaN & NaN \\ -11 Hz & 0.29 ± 0.04 (55) & 0.17 ± 0.02 (55) & 8.04 ± 0.08 (55) & 0.79 ± 0.09 (55) & 0.15 ± 0.02 (55) & 0.36 ± 0.10 (55) & 0.55 ± 0.04 (55) & 5.48 ± 0.62 (55) \\ -Baseline II & 0.84 ± 0.09 (47) & 0.49 ± 0.04 (47) & 7.83 ± 0.05 (47) & 1.24 ± 0.08 (47) & NaN & NaN & NaN & NaN \\ -30 Hz & 0.14 ± 0.02 (34) & 0.11 ± 0.02 (34) & 8.18 ± 0.12 (34) & 0.49 ± 0.06 (34) & 0.12 ± 0.01 (34) & 0.36 ± 0.06 (34) & 0.47 ± 0.05 (34) & 7.97 ± 1.51 (34) \\ -MWU Baseline I 11 Hz & 2006.00, 0.000 & 2148.00, 0.000 & 595.00, 0.000 & 1871.00, 0.001 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 11 Hz & 0.66, 0.000 & 0.48, 0.000 & 0.37, 0.000 & 0.63, 0.000 & NaN & NaN & NaN & NaN \\ -MWU Baseline I Baseline II & 1127.00, 0.860 & 1211.00, 0.665 & 600.50, 0.000 & 1032.00, 0.383 & NaN & NaN & NaN & NaN \\ -PRS Baseline I Baseline II & 0.01, 0.914 & 0.03, 0.572 & 0.24, 0.000 & 0.07, 0.542 & NaN & NaN & NaN & NaN \\ -MWU Baseline I 30 Hz & 1372.00, 0.000 & 1415.00, 0.000 & 287.00, 0.000 & 1420.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline I 30 Hz & 0.73, 0.000 & 0.52, 0.000 & 0.73, 0.000 & 0.72, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz Baseline II & 584.00, 0.000 & 445.00, 0.000 & 1638.00, 0.020 & 696.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS 11 Hz Baseline II & 0.66, 0.000 & 0.45, 0.000 & 0.12, 0.006 & 0.71, 0.000 & NaN & NaN & NaN & NaN \\ -MWU 11 Hz 30 Hz & 1243.00, 0.009 & 1191.00, 0.031 & 760.00, 0.139 & 1182.00, 0.037 & 1041.00, 0.373 & 658.00, 0.020 & 1111.00, 0.138 & 930.00, 0.970 \\ -PRS 11 Hz 30 Hz & 0.08, 0.049 & 0.03, 0.174 & 0.37, 0.001 & 0.09, 0.251 & 0.00, 0.651 & 0.02, 0.092 & 0.11, 0.137 & 0.27, 0.811 \\ -MWU Baseline II 30 Hz & 1385.00, 0.000 & 1410.00, 0.000 & 442.50, 0.001 & 1397.00, 0.000 & NaN & NaN & NaN & NaN \\ -PRS Baseline II 30 Hz & 0.74, 0.000 & 0.49, 0.000 & 0.49, 0.000 & 0.79, 0.000 & NaN & NaN & NaN & NaN \\ +Baseline I & 5.3e-01 ± 9.9e-02 (30) & 3.6e-01 ± 5.6e-02 (30) & 7.6e+00 ± 1.0e-01 (30) & 9.9e-01 ± 8.8e-02 (30) & 2.9e-01 ± 3.3e-02 (30) & 3.1e+00 ± 2.2e-01 (30) & NaN & NaN & NaN & NaN & NaN & NaN \\ +11 Hz & 1.8e-01 ± 3.1e-02 (32) & 1.1e-01 ± 1.4e-02 (32) & 8.0e+00 ± 1.7e-01 (32) & 5.8e-01 ± 7.4e-02 (32) & 2.5e-02 ± 3.3e-03 (32) & 1.8e+00 ± 3.2e-01 (32) & 1.1e-01 ± 1.3e-02 (32) & 2.3e-01 ± 9.3e-03 (32) & 5.5e-01 ± 3.5e-02 (32) & 7.1e+00 ± 6.9e-01 (32) & 2.2e-01 ± 2.2e-02 (32) & 1.8e+00 ± 3.0e-01 (32) \\ +Baseline II & 7.8e-01 ± 1.3e-01 (23) & 4.3e-01 ± 6.1e-02 (23) & 8.0e+00 ± 8.9e-02 (23) & 1.3e+00 ± 1.2e-01 (23) & 3.0e-01 ± 3.5e-02 (23) & 3.2e+00 ± 1.6e-01 (23) & NaN & NaN & NaN & NaN & NaN & NaN \\ +30 Hz & 1.1e-01 ± 3.9e-02 (12) & 7.3e-02 ± 2.5e-02 (12) & 8.5e+00 ± 1.6e-01 (12) & 4.2e-01 ± 9.5e-02 (12) & 1.7e-02 ± 4.1e-03 (12) & 1.9e+00 ± 4.9e-01 (12) & 1.9e-01 ± 2.8e-02 (12) & 3.9e-01 ± 1.1e-01 (12) & 6.3e-01 ± 8.5e-02 (12) & 1.7e+01 ± 3.1e+00 (12) & 3.8e-01 ± 5.3e-02 (12) & 3.4e+00 ± 4.4e-01 (12) \\ +LMM Baseline I - 11 Hz & 9.3e-02, 4.4e-01 & 2.8e-03, 3.4e-01 & 2.1e-02, -5.9e-01 & 2.8e-01, 2.6e-01 & 5.2e-08, 2.8e-01 & 1.4e-01, 1.2e+00 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - Baseline II & 5.4e-01, 1.7e-01 & 8.3e-01, 2.6e-02 & 1.7e-01, 3.4e-01 & 2.1e-01, 2.5e-01 & 8.3e-01, -2.5e-02 & NaN & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM Baseline I - 30 Hz & 2.7e-01, 5.1e-01 & 1.7e-01, 3.3e-01 & 1.1e-03, -6.9e-01 & 3.4e-01, 5.1e-01 & 8.1e-03, 2.9e-01 & 4.3e-01, 7.7e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - Baseline II & 4.5e-03, 6.2e-01 & 9.2e-02, 3.7e-01 & 8.5e-01, -1.3e-01 & 5.3e-03, 6.2e-01 & 2.0e-08, 2.9e-01 & 5.5e-01, 9.9e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM 11 Hz - 30 Hz & 5.8e-01, -9.4e-02 & 5.5e-01, -4.1e-02 & 2.4e-01, 8.6e-01 & 7.2e-01, -2.0e-01 & NaN & 9.4e-01, -1.2e-01 & 6.6e-01, 3.8e-02 & 3.4e-01, 6.7e-02 & 8.8e-01, -3.6e-02 & 9.0e-02, 1.1e+01 & 4.0e-01, 1.1e-01 & 5.6e-01, 9.3e-01 \\ +LMM Baseline II - 30 Hz & NaN & 7.3e-01, 3.9e-01 & NaN & 3.7e-03, 9.1e-01 & 6.5e-07, 3.4e-01 & 4.0e-01, 1.1e+00 & NaN & NaN & NaN & NaN & NaN & NaN \\ \bottomrule \end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.csv b/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.csv new file mode 100644 index 000000000..3f6d53b18 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.csv @@ -0,0 +1,4 @@ +,Theta energy,Theta peak,Theta freq,Theta half width,Theta vec len,Theta ang,Stim energy,Stim half width,Stim p max,Stim strength,Stim vec len,Stim ang +ns_inhibited,9.9e-01 ± 1.6e-01 (12),5.9e-01 ± 7.2e-02 (12),7.9e+00 ± 1.1e-01 (12),1.3e+00 ± 1.3e-01 (12),3.1e-01 ± 4.6e-02 (12),3.3e+00 ± 2.3e-01 (12),,,,,, +ns_not_inhibited,5.3e-01 ± 9.9e-02 (30),3.6e-01 ± 5.6e-02 (30),7.6e+00 ± 1.0e-01 (30),9.9e-01 ± 8.8e-02 (30),2.9e-01 ± 3.3e-02 (30),3.1e+00 ± 2.2e-01 (30),,,,,, +LMM ns_inhibited - ns_not_inhibited,"3.0e-01, -3.4e-01","2.3e-01, -1.8e-01","1.5e-01, -3.2e-01","4.6e-01, -2.0e-01","7.6e-01, 2.4e-02","5.1e-01, -2.8e-01",,,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.tex b/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.tex new file mode 100644 index 000000000..36209b745 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/statistics_nsi_vs_nsni.tex @@ -0,0 +1,9 @@ +\begin{tabular}{lllllllrrrrrr} +\toprule +{} & Theta energy & Theta peak & Theta freq & Theta half width & Theta vec len & Theta ang & Stim energy & Stim half width & Stim p max & Stim strength & Stim vec len & Stim ang \\ +\midrule +ns\_inhibited & 9.9e-01 ± 1.6e-01 (12) & 5.9e-01 ± 7.2e-02 (12) & 7.9e+00 ± 1.1e-01 (12) & 1.3e+00 ± 1.3e-01 (12) & 3.1e-01 ± 4.6e-02 (12) & 3.3e+00 ± 2.3e-01 (12) & NaN & NaN & NaN & NaN & NaN & NaN \\ +ns\_not\_inhibited & 5.3e-01 ± 9.9e-02 (30) & 3.6e-01 ± 5.6e-02 (30) & 7.6e+00 ± 1.0e-01 (30) & 9.9e-01 ± 8.8e-02 (30) & 2.9e-01 ± 3.3e-02 (30) & 3.1e+00 ± 2.2e-01 (30) & NaN & NaN & NaN & NaN & NaN & NaN \\ +LMM ns\_inhibited - ns\_not\_inhibited & 3.0e-01, -3.4e-01 & 2.3e-01, -1.8e-01 & 1.5e-01, -3.2e-01 & 4.6e-01, -2.0e-01 & 7.6e-01, 2.4e-02 & 5.1e-01, -2.8e-01 & NaN & NaN & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_ang.csv new file mode 100644 index 000000000..a33512a61 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_ang.csv @@ -0,0 +1,640 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +187,1833,0,0,20719,,,,5.719021003028008 +0,1833,1,0,260619,,,,1.7171195120335216 +6,1833,2,0,10719,,,, +7,1833,3,0,10719,,0.4987987430467752,, +8,1833,4,0,10719,,4.299840157761861,, +403,1833,6,0,10719,,4.446427518329676,, +404,1833,7,0,10719,,4.373138917436268,, +188,1833,9,0,20719,,,, +189,1833,10,0,20719,,4.38814221266967,,4.2216444977235765 +359,1833,12,0,20719,,3.794821224090436,, +474,1833,15,0,20719,,,, 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b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_ang.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 5.719021 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 1.717120 \\ +6 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & NaN & 0.498799 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & NaN & 4.299840 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 4.446428 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 4.373139 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 4.388142 & NaN & 4.221644 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 3.794821 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 4.963429 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 4.500938 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 1.183834 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 5.776177 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 3.922702 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 1.700212 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.472937 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 4.129243 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 2.486983 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 4.403162 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 4.933187 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 5.904610 \\ +93 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 5.983478 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 2.108297 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 5.031469 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 3.097922 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 3.292634 \\ +51 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.078641 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.087556 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.851486 \\ +190 & 1833 & 96 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 4.993755 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 4.515484 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 1.989852 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 5.246021 \\ +94 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 1.633757 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 5.831181 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 1.267013 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 5.648157 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 4.958784 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 4.783224 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 4.761008 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 2.004671 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 5.293678 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 4.508820 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 5.058862 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 5.618343 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 5.861326 \\ +196 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.327772 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 1.337624 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 4.032654 \\ +52 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 6.226055 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 5.877758 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 5.031308 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 2.245180 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 5.898538 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.200685 \\ +53 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 5.113260 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 4.468021 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 4.384564 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 5.365759 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 5.973447 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 5.437270 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 212 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & NaN & 0.187893 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 219 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 4.989879 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 4.762759 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 5.044276 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 4.807014 \\ +32 & 1833 & 230 & 6 & 50619 & NaN & 1.303886 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.562296 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 1.795462 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 2.089740 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 5.236076 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 5.433960 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 2.298678 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.887881 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.395835 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 2.029491 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 1.977000 \\ +2 & 1833 & 264 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 6.009076 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 6.060530 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 6.014188 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 6.201135 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 2.427435 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 2.782449 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 2.824387 \\ +56 & 1833 & 276 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 0.337872 & NaN & NaN \\ +456 & 1833 & 287 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 288 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 289 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +629 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.336849 \\ +630 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.216475 \\ +631 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.559344 \\ +16 & 1833 & 293 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 294 & 7 & 10719 & NaN & 5.254612 & NaN & NaN \\ +18 & 1833 & 295 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +417 & 1833 & 296 & 7 & 10719 & NaN & 5.027927 & NaN & NaN \\ +418 & 1833 & 297 & 7 & 10719 & NaN & 4.657900 & NaN & NaN \\ +322 & 1833 & 298 & 7 & 50619 & NaN & 1.658956 & NaN & NaN \\ +647 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 5.211903 \\ +626 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 2.170259 \\ +375 & 1833 & 305 & 7 & 200619 & NaN & 0.663981 & NaN & NaN \\ +376 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +531 & 1833 & 307 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +3 & 1833 & 308 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +527 & 1833 & 309 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +528 & 1833 & 310 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +624 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 2.519364 \\ +61 & 1833 & 312 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 313 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 314 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 315 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +65 & 1833 & 316 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +632 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.834096 \\ +633 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.347141 \\ +634 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 1.121996 \\ +80 & 1834 & 327 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +81 & 1834 & 328 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +304 & 1834 & 330 & 0 & 10319 & NaN & 3.873653 & NaN & NaN \\ +68 & 1834 & 332 & 0 & 110319 & NaN & 0.676059 & NaN & NaN \\ +137 & 1834 & 333 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +138 & 1834 & 334 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +139 & 1834 & 335 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +140 & 1834 & 336 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +141 & 1834 & 337 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +469 & 1834 & 339 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +69 & 1834 & 340 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +347 & 1834 & 341 & 0 & 110319 & NaN & 0.720487 & NaN & NaN \\ +149 & 1834 & 343 & 0 & 120319 & NaN & 5.157564 & NaN & 0.799322 \\ +425 & 1834 & 344 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +122 & 1834 & 345 & 0 & 220319 & NaN & 1.137452 & NaN & 2.541407 \\ +123 & 1834 & 346 & 0 & 220319 & NaN & NaN & NaN & NaN \\ +82 & 1834 & 347 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +305 & 1834 & 348 & 1 & 10319 & NaN & 2.480615 & NaN & NaN \\ +503 & 1834 & 349 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +324 & 1834 & 350 & 1 & 60319 & NaN & 0.595958 & NaN & NaN \\ +150 & 1834 & 351 & 1 & 120319 & NaN & NaN & NaN & NaN \\ +236 & 1834 & 352 & 1 & 120319 & NaN & 5.216814 & NaN & NaN \\ +325 & 1834 & 353 & 2 & 60319 & NaN & 0.538486 & NaN & NaN \\ +237 & 1834 & 354 & 2 & 120319 & NaN & 5.722574 & NaN & NaN \\ +238 & 1834 & 355 & 2 & 120319 & NaN & 5.347405 & NaN & NaN \\ +542 & 1834 & 357 & 2 & 120319 & NaN & NaN & NaN & 0.822395 \\ +83 & 1834 & 363 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +504 & 1834 & 365 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +505 & 1834 & 366 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +590 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 2.169973 \\ +591 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 2.348892 \\ +142 & 1834 & 369 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +143 & 1834 & 370 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +144 & 1834 & 371 & 3 & 60319 & NaN & 0.524215 & NaN & 1.319441 \\ +326 & 1834 & 372 & 3 & 60319 & NaN & 0.438718 & NaN & NaN \\ +612 & 1834 & 373 & 3 & 60319 & NaN & NaN & NaN & 1.952471 \\ +348 & 1834 & 374 & 3 & 110319 & NaN & 0.664937 & NaN & NaN \\ +151 & 1834 & 376 & 3 & 120319 & NaN & 5.679235 & NaN & NaN \\ +239 & 1834 & 377 & 3 & 120319 & NaN & 5.799690 & NaN & NaN \\ +543 & 1834 & 378 & 3 & 120319 & NaN & NaN & NaN & 5.641526 \\ +258 & 1834 & 380 & 3 & 150319 & NaN & 4.351032 & NaN & NaN \\ +426 & 1834 & 382 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +567 & 1834 & 383 & 3 & 150319 & NaN & NaN & NaN & 1.369282 \\ +124 & 1834 & 384 & 3 & 220319 & NaN & 1.895813 & NaN & 1.112843 \\ +84 & 1834 & 385 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +85 & 1834 & 386 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +306 & 1834 & 387 & 4 & 10319 & NaN & 2.507837 & NaN & NaN \\ +307 & 1834 & 388 & 4 & 10319 & NaN & 0.367145 & NaN & NaN \\ +308 & 1834 & 389 & 4 & 10319 & NaN & 2.401907 & NaN & NaN \\ +309 & 1834 & 390 & 4 & 10319 & NaN & 3.810812 & NaN & NaN \\ +506 & 1834 & 391 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +507 & 1834 & 392 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +508 & 1834 & 393 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +485 & 1834 & 399 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +486 & 1834 & 400 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +125 & 1834 & 402 & 4 & 220319 & NaN & 0.374323 & NaN & NaN \\ +488 & 1834 & 404 & 4 & 220319 & NaN & NaN & NaN & 1.420439 \\ +579 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 1.878100 \\ +580 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 1.487407 \\ +581 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 1.425090 \\ +86 & 1834 & 408 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +87 & 1834 & 409 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +310 & 1834 & 410 & 5 & 10319 & NaN & 2.632484 & NaN & NaN \\ +311 & 1834 & 411 & 5 & 10319 & NaN & 2.582395 & NaN & NaN \\ +509 & 1834 & 412 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +592 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 3.638147 \\ +593 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 3.191815 \\ +145 & 1834 & 415 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +327 & 1834 & 416 & 5 & 60319 & NaN & 0.714933 & NaN & NaN \\ +328 & 1834 & 417 & 5 & 60319 & NaN & 5.889961 & NaN & 0.493527 \\ +470 & 1834 & 418 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +471 & 1834 & 419 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +613 & 1834 & 420 & 5 & 60319 & NaN & NaN & NaN & 1.878296 \\ +614 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 1.910768 \\ +71 & 1834 & 422 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +72 & 1834 & 423 & 5 & 110319 & NaN & 5.999276 & NaN & NaN \\ +349 & 1834 & 424 & 5 & 110319 & NaN & 6.005513 & NaN & NaN \\ +350 & 1834 & 425 & 5 & 110319 & NaN & 6.074031 & NaN & NaN \\ +152 & 1834 & 428 & 5 & 120319 & NaN & 4.631964 & NaN & 0.690132 \\ +487 & 1834 & 429 & 5 & 120319 & NaN & NaN & NaN & NaN \\ +544 & 1834 & 430 & 5 & 120319 & NaN & NaN & NaN & 0.638873 \\ +545 & 1834 & 431 & 5 & 120319 & NaN & NaN & NaN & 0.546006 \\ +33 & 1834 & 432 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +34 & 1834 & 433 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1834 & 434 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +36 & 1834 & 435 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +259 & 1834 & 436 & 5 & 150319 & NaN & 1.868155 & NaN & NaN \\ +427 & 1834 & 437 & 5 & 150319 & NaN & NaN & NaN & 2.325242 \\ +428 & 1834 & 438 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +568 & 1834 & 439 & 5 & 150319 & NaN & NaN & NaN & 2.242415 \\ +569 & 1834 & 440 & 5 & 150319 & NaN & NaN & NaN & 2.136295 \\ +570 & 1834 & 441 & 5 & 150319 & NaN & NaN & NaN & 2.023582 \\ +571 & 1834 & 442 & 5 & 150319 & NaN & NaN & NaN & 2.065160 \\ +572 & 1834 & 443 & 5 & 150319 & NaN & NaN & NaN & 1.930654 \\ +126 & 1834 & 444 & 5 & 220319 & NaN & NaN & NaN & NaN \\ +88 & 1834 & 445 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +89 & 1834 & 446 & 6 & 10319 & NaN & 2.729820 & NaN & NaN \\ +312 & 1834 & 447 & 6 & 10319 & NaN & 3.031256 & NaN & NaN \\ +313 & 1834 & 448 & 6 & 10319 & NaN & 3.014525 & NaN & NaN \\ +510 & 1834 & 449 & 6 & 10319 & NaN & NaN & NaN & 1.380968 \\ +511 & 1834 & 450 & 6 & 10319 & NaN & NaN & NaN & 0.987562 \\ +594 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 0.947754 \\ +329 & 1834 & 452 & 6 & 60319 & NaN & 0.082017 & NaN & NaN \\ +330 & 1834 & 453 & 6 & 60319 & NaN & 0.794732 & NaN & NaN \\ +331 & 1834 & 454 & 6 & 60319 & NaN & 0.272274 & NaN & NaN \\ +332 & 1834 & 455 & 6 & 60319 & NaN & 0.342762 & NaN & 5.385228 \\ +472 & 1834 & 456 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +615 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 5.981595 \\ +616 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 5.919478 \\ +73 & 1834 & 459 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +74 & 1834 & 460 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +351 & 1834 & 461 & 6 & 110319 & NaN & 0.369172 & NaN & NaN \\ +352 & 1834 & 462 & 6 & 110319 & NaN & 0.269936 & NaN & NaN \\ +353 & 1834 & 464 & 6 & 110319 & NaN & 0.103612 & NaN & NaN \\ +354 & 1834 & 465 & 6 & 110319 & NaN & 0.489180 & NaN & NaN \\ +153 & 1834 & 472 & 6 & 120319 & NaN & 5.001919 & NaN & 2.727420 \\ +260 & 1834 & 473 & 6 & 150319 & NaN & 4.185442 & NaN & 4.474250 \\ +261 & 1834 & 474 & 6 & 150319 & NaN & 4.346683 & NaN & NaN \\ +429 & 1834 & 475 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +430 & 1834 & 476 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +573 & 1834 & 477 & 6 & 150319 & NaN & NaN & NaN & 4.500503 \\ +128 & 1834 & 478 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +129 & 1834 & 479 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +130 & 1834 & 480 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +131 & 1834 & 481 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +228 & 1834 & 483 & 6 & 220319 & NaN & 1.253686 & NaN & NaN \\ +229 & 1834 & 484 & 6 & 220319 & NaN & 0.761905 & NaN & NaN \\ +230 & 1834 & 485 & 6 & 220319 & NaN & 0.741196 & NaN & NaN \\ +231 & 1834 & 486 & 6 & 220319 & NaN & 1.221720 & NaN & NaN \\ +489 & 1834 & 487 & 6 & 220319 & NaN & NaN & NaN & 5.032020 \\ +490 & 1834 & 488 & 6 & 220319 & NaN & NaN & NaN & 5.379009 \\ +491 & 1834 & 489 & 6 & 220319 & NaN 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& 1839 & 601 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +46 & 1839 & 602 & 4 & 290519 & NaN & 0.006937 & NaN & NaN \\ +269 & 1839 & 603 & 4 & 290519 & NaN & 0.323109 & NaN & NaN \\ +218 & 1839 & 606 & 5 & 60619 & NaN & 5.002257 & NaN & 4.508284 \\ +460 & 1839 & 607 & 5 & 60619 & NaN & NaN & NaN & NaN \\ +636 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 4.531965 \\ +387 & 1839 & 610 & 5 & 120619 & NaN & 1.144420 & NaN & NaN \\ +395 & 1839 & 614 & 5 & 200619 & NaN & 5.352047 & NaN & NaN \\ +270 & 1839 & 618 & 5 & 290519 & NaN & 1.895949 & NaN & NaN \\ +271 & 1839 & 619 & 5 & 290519 & NaN & 1.368866 & NaN & NaN \\ +272 & 1839 & 620 & 5 & 290519 & NaN & 0.318182 & NaN & NaN \\ +219 & 1839 & 623 & 6 & 60619 & NaN & 6.278831 & NaN & NaN \\ +637 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 4.789459 \\ +638 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 4.768906 \\ +388 & 1839 & 630 & 6 & 120619 & NaN & 1.980969 & NaN & NaN \\ +389 & 1839 & 631 & 6 & 120619 & NaN & 2.274355 & NaN & NaN \\ +520 & 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& 200619 & NaN & 5.547781 & NaN & NaN \\ +401 & 1839 & 663 & 7 & 200619 & NaN & 5.757890 & NaN & NaN \\ +402 & 1839 & 664 & 7 & 200619 & NaN & 5.741819 & NaN & NaN \\ +49 & 1839 & 665 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +50 & 1839 & 668 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +276 & 1839 & 669 & 7 & 290519 & NaN & 0.435288 & NaN & NaN \\ +277 & 1839 & 670 & 7 & 290519 & NaN & 0.376457 & NaN & NaN \\ +278 & 1839 & 672 & 7 & 290519 & NaN & 0.273914 & NaN & NaN \\ +107 & 1849 & 674 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +173 & 1849 & 675 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +220 & 1849 & 676 & 0 & 110319 & NaN & 3.790805 & NaN & NaN \\ +157 & 1849 & 677 & 0 & 150319 & NaN & 2.086003 & NaN & 2.333777 \\ +158 & 1849 & 678 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +279 & 1849 & 679 & 0 & 150319 & NaN & 2.234984 & NaN & NaN \\ +461 & 1849 & 680 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +604 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 1.796402 \\ +605 & 1849 & 682 & 0 & 150319 & NaN & NaN 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280219 & NaN & NaN & NaN & 5.580072 \\ +120 & 1849 & 922 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 5.932082 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.822113 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.695981 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 1.363127 \\ +172 & 1849 & 930 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 1.654755 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 3.219581 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 1.433137 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 1.387128 \\ +\bottomrule +\end{tabular} diff --git 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7 & 0 & 10719 & NaN & 0.036430 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 0.030755 & NaN & 0.103868 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.066233 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.088762 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.072861 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 0.060364 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.026058 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.033716 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.002814 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.017204 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.064875 & NaN & NaN \\ 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+346,1849,926,7,60319,,0.26727605938969035,, +424,1849,928,7,60319,,,, +603,1849,929,7,60319,,,,0.2658853869201927 +172,1849,930,7,150319,,,, +215,1849,931,7,280219,,,, +216,1849,933,7,280219,,,, +301,1849,934,7,280219,,0.2201449997730496,, +302,1849,935,7,280219,,20.548939835409282,, +303,1849,936,7,280219,,0.30979174158767897,, +451,1849,938,7,280219,,,, +558,1849,940,7,280219,,,,0.3345442095843936 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_half_width.tex new file mode 100644 index 000000000..b1bb49b8f --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_half_width.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.315266 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.248742 \\ +6 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & NaN & 0.181569 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & NaN & 0.170839 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.201264 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.179081 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 0.187885 & NaN & 0.246487 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.222543 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.231108 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.230227 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 0.214683 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.172499 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.251192 \\ 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& NaN & 0.240719 \\ +51 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.204726 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.193733 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.380277 \\ +190 & 1833 & 96 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.194307 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.280069 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.540437 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.249270 \\ +94 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.230379 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.280597 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 1.650528 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 4.248120 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.156838 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.160188 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.159496 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 5.369421 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.214101 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.180473 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.234159 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.226086 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.195471 \\ +196 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.188768 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 0.237684 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.223706 \\ +52 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 0.130341 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 0.183910 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & NaN & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 0.197584 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 0.223762 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.209157 \\ +53 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 0.286616 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & 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& NaN & 0.242803 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 0.276080 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.266777 \\ +32 & 1833 & 230 & 6 & 50619 & NaN & 0.177060 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.279379 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.188002 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 0.266130 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.253194 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.330467 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.252861 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.323515 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.187920 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 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& 290519 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 289 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +629 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.288866 \\ +630 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.331537 \\ +631 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.316775 \\ +16 & 1833 & 293 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 294 & 7 & 10719 & NaN & 0.191603 & NaN & NaN \\ +18 & 1833 & 295 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +417 & 1833 & 296 & 7 & 10719 & NaN & 0.199324 & NaN & NaN \\ +418 & 1833 & 297 & 7 & 10719 & NaN & 0.210564 & NaN & NaN \\ +322 & 1833 & 298 & 7 & 50619 & NaN & 0.241106 & NaN & NaN \\ +647 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 0.332973 \\ +626 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 0.295143 \\ +375 & 1833 & 305 & 7 & 200619 & NaN & 0.152289 & NaN & NaN \\ +376 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +531 & 1833 & 307 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +3 & 1833 & 308 & 7 & 260619 & NaN & NaN & NaN & NaN 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NaN & NaN & 0.100054 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.473948 \\ +6 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & NaN & 0.310034 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & NaN & 0.419223 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.462731 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.294671 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 0.248919 & NaN & 0.467019 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.537157 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.402277 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.338384 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 0.489452 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.210519 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.153335 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.008711 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.138901 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.525455 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 0.268440 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.219433 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.592943 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.590648 \\ +93 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 0.759912 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 0.310073 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 0.784954 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 0.448312 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.326361 \\ +51 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.278601 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.400555 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.114039 \\ +190 & 1833 & 96 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.367899 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.161422 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.003407 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.565734 \\ +94 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.484289 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.667494 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.042857 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.001557 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.243052 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.157923 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.021944 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.000634 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.254004 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.300496 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.390948 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.096748 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.059217 \\ +196 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.568290 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 0.282102 \\ +620 & 1833 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\\ +366 & 1833 & 191 & 5 & 20719 & NaN & 0.588903 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 0.354284 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.777640 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.809486 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.554754 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 212 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & NaN & 0.551922 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 219 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 0.572520 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 0.554336 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 0.764445 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.684948 \\ +32 & 1833 & 230 & 6 & 50619 & NaN & 0.194643 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.691056 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.503332 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 0.652757 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.322658 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.779320 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.414907 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.843276 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.415568 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +588 & 1833 & 259 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+603,1849,929,7,60319,,,,11.919346412906767 +172,1849,930,7,150319,,,, +215,1849,931,7,280219,,,, +216,1849,933,7,280219,,,, +301,1849,934,7,280219,,1.748020405112265,, +302,1849,935,7,280219,,0.021154633038123732,, +303,1849,936,7,280219,,6.0809108452603144,, +451,1849,938,7,280219,,,, +558,1849,940,7,280219,,,,0.5710327594128548 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_strength.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_strength.tex new file mode 100644 index 000000000..97b810e0c --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_strength.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.871968 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 20.543101 \\ +6 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & NaN & 6.699169 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & NaN & 3.814757 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 5.629737 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 5.788411 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 4.552619 & NaN & 11.221821 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 13.869414 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 7.315039 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 1.363760 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 4.213812 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 13.938604 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 2.277177 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.256116 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 4.196382 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 21.245055 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 5.214916 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 5.697975 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 8.584744 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 4.043004 \\ +93 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 7.875408 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 3.477307 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 5.668966 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 10.980221 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 9.909917 \\ +51 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 9.061485 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 14.815014 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.745404 \\ +190 & 1833 & 96 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 7.371207 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 2.105659 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.058654 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 9.307214 \\ +94 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 4.593060 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 8.556852 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.250761 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.006570 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 7.209975 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 5.228426 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.917762 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.038569 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 9.816493 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 7.295438 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 4.904950 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 2.413726 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 2.168406 \\ +196 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 15.096319 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 18.804514 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 5.074255 \\ +52 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 7.707052 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 1.721964 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 0.023312 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 4.523918 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 16.724271 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.132250 \\ +53 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 8.483684 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 6.418187 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 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NaN & NaN & NaN & 18.489085 \\ +2 & 1833 & 264 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 31.639103 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 16.499460 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 17.960963 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 35.665425 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 17.119365 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 45.329926 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 34.368759 \\ +56 & 1833 & 276 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 4.298803 & NaN & NaN \\ +456 & 1833 & 287 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 288 & 6 & 290519 & NaN & NaN & NaN & NaN \\ 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0 & 60319 & NaN & NaN & NaN & NaN \\ +140 & 1834 & 336 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +141 & 1834 & 337 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +469 & 1834 & 339 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +69 & 1834 & 340 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +347 & 1834 & 341 & 0 & 110319 & NaN & 5.326146 & NaN & NaN \\ +149 & 1834 & 343 & 0 & 120319 & NaN & 9.665647 & NaN & 9.290291 \\ +425 & 1834 & 344 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +122 & 1834 & 345 & 0 & 220319 & NaN & 6.933672 & NaN & 8.917845 \\ +123 & 1834 & 346 & 0 & 220319 & NaN & NaN & NaN & NaN \\ +82 & 1834 & 347 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +305 & 1834 & 348 & 1 & 10319 & NaN & 25.662802 & NaN & NaN \\ +503 & 1834 & 349 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +324 & 1834 & 350 & 1 & 60319 & NaN & 11.038633 & NaN & NaN \\ +150 & 1834 & 351 & 1 & 120319 & NaN & NaN & NaN & NaN \\ +236 & 1834 & 352 & 1 & 120319 & NaN & 4.264350 & NaN & NaN \\ +325 & 1834 & 353 & 2 & 60319 & NaN & 8.541664 & NaN & NaN \\ +237 & 1834 & 354 & 2 & 120319 & NaN & 12.138605 & NaN & NaN \\ +238 & 1834 & 355 & 2 & 120319 & NaN & 3.579485 & NaN & NaN \\ +542 & 1834 & 357 & 2 & 120319 & NaN & NaN & NaN & 3.109056 \\ +83 & 1834 & 363 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +504 & 1834 & 365 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +505 & 1834 & 366 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +590 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 21.511196 \\ +591 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 17.005604 \\ +142 & 1834 & 369 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +143 & 1834 & 370 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +144 & 1834 & 371 & 3 & 60319 & NaN & 4.697725 & NaN & 16.715942 \\ +326 & 1834 & 372 & 3 & 60319 & NaN & 6.294108 & NaN & NaN \\ +612 & 1834 & 373 & 3 & 60319 & NaN & NaN & NaN & 0.209709 \\ +348 & 1834 & 374 & 3 & 110319 & NaN & 7.712014 & NaN & NaN \\ +151 & 1834 & 376 & 3 & 120319 & NaN & 5.026836 & NaN & NaN \\ +239 & 1834 & 377 & 3 & 120319 & NaN & 8.869490 & NaN & NaN \\ +543 & 1834 & 378 & 3 & 120319 & NaN & NaN & NaN & 12.636914 \\ +258 & 1834 & 380 & 3 & 150319 & NaN & 5.968467 & NaN & NaN \\ +426 & 1834 & 382 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +567 & 1834 & 383 & 3 & 150319 & NaN & NaN & NaN & 10.271381 \\ +124 & 1834 & 384 & 3 & 220319 & NaN & 8.130484 & NaN & 9.946106 \\ +84 & 1834 & 385 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +85 & 1834 & 386 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +306 & 1834 & 387 & 4 & 10319 & NaN & 30.179612 & NaN & NaN \\ +307 & 1834 & 388 & 4 & 10319 & NaN & 6.705764 & NaN & NaN \\ +308 & 1834 & 389 & 4 & 10319 & NaN & 14.989355 & NaN & NaN \\ +309 & 1834 & 390 & 4 & 10319 & NaN & 8.264486 & NaN & NaN \\ +506 & 1834 & 391 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +507 & 1834 & 392 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +508 & 1834 & 393 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +485 & 1834 & 399 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +486 & 1834 & 400 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +125 & 1834 & 402 & 4 & 220319 & NaN & 4.604259 & NaN & NaN \\ +488 & 1834 & 404 & 4 & 220319 & NaN & NaN & NaN & 15.846304 \\ +579 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 7.081708 \\ +580 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 18.539919 \\ +581 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 21.632081 \\ +86 & 1834 & 408 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +87 & 1834 & 409 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +310 & 1834 & 410 & 5 & 10319 & NaN & 4.077659 & NaN & NaN \\ +311 & 1834 & 411 & 5 & 10319 & NaN & 8.858428 & NaN & NaN \\ +509 & 1834 & 412 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +592 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 10.493268 \\ +593 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 11.356734 \\ +145 & 1834 & 415 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +327 & 1834 & 416 & 5 & 60319 & NaN & 1.439543 & NaN & NaN \\ +328 & 1834 & 417 & 5 & 60319 & NaN & 1.505005 & NaN & 3.507731 \\ +470 & 1834 & 418 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +471 & 1834 & 419 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +613 & 1834 & 420 & 5 & 60319 & NaN & NaN & NaN & 24.004489 \\ +614 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 16.592000 \\ +71 & 1834 & 422 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +72 & 1834 & 423 & 5 & 110319 & NaN & 5.809823 & NaN & NaN \\ +349 & 1834 & 424 & 5 & 110319 & NaN & 2.379703 & NaN & NaN \\ +350 & 1834 & 425 & 5 & 110319 & NaN & 3.503278 & NaN & NaN \\ +152 & 1834 & 428 & 5 & 120319 & NaN & 6.732194 & NaN & 19.090625 \\ +487 & 1834 & 429 & 5 & 120319 & NaN & NaN & NaN & NaN \\ +544 & 1834 & 430 & 5 & 120319 & NaN & NaN & NaN & 10.965597 \\ +545 & 1834 & 431 & 5 & 120319 & NaN & NaN & NaN & 9.415507 \\ +33 & 1834 & 432 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +34 & 1834 & 433 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1834 & 434 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +36 & 1834 & 435 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +259 & 1834 & 436 & 5 & 150319 & NaN & 4.847051 & NaN & NaN \\ +427 & 1834 & 437 & 5 & 150319 & NaN & NaN & NaN & 18.585096 \\ +428 & 1834 & 438 & 5 & 150319 & NaN & NaN & NaN & NaN \\ +568 & 1834 & 439 & 5 & 150319 & NaN & NaN & NaN & 6.085177 \\ +569 & 1834 & 440 & 5 & 150319 & NaN & NaN & NaN & 19.410369 \\ +570 & 1834 & 441 & 5 & 150319 & NaN & NaN & NaN & 2.841868 \\ +571 & 1834 & 442 & 5 & 150319 & NaN & NaN & NaN & 9.641089 \\ +572 & 1834 & 443 & 5 & 150319 & NaN & NaN & NaN & 0.594006 \\ +126 & 1834 & 444 & 5 & 220319 & NaN & NaN & NaN & NaN \\ +88 & 1834 & 445 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +89 & 1834 & 446 & 6 & 10319 & NaN & 15.760871 & NaN & NaN \\ +312 & 1834 & 447 & 6 & 10319 & NaN & 42.239376 & NaN & NaN \\ +313 & 1834 & 448 & 6 & 10319 & NaN & 10.069986 & NaN & NaN \\ +510 & 1834 & 449 & 6 & 10319 & NaN & NaN & NaN & 15.404852 \\ +511 & 1834 & 450 & 6 & 10319 & NaN & NaN & NaN & 31.067360 \\ +594 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 12.899712 \\ +329 & 1834 & 452 & 6 & 60319 & NaN & 11.988369 & NaN & NaN \\ +330 & 1834 & 453 & 6 & 60319 & NaN & 19.876075 & NaN & NaN \\ +331 & 1834 & 454 & 6 & 60319 & NaN & 21.859535 & NaN & NaN \\ +332 & 1834 & 455 & 6 & 60319 & NaN & 18.980574 & NaN & 17.835428 \\ +472 & 1834 & 456 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +615 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 29.616536 \\ +616 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 17.792383 \\ +73 & 1834 & 459 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +74 & 1834 & 460 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +351 & 1834 & 461 & 6 & 110319 & NaN & 21.643335 & NaN & NaN \\ +352 & 1834 & 462 & 6 & 110319 & NaN & 21.083041 & NaN & NaN \\ +353 & 1834 & 464 & 6 & 110319 & NaN & 1.719663 & NaN & NaN \\ +354 & 1834 & 465 & 6 & 110319 & NaN & 23.623175 & NaN & NaN \\ +153 & 1834 & 472 & 6 & 120319 & NaN & 11.129561 & NaN & 14.390466 \\ +260 & 1834 & 473 & 6 & 150319 & NaN & 8.563794 & NaN & 24.980763 \\ +261 & 1834 & 474 & 6 & 150319 & NaN & 13.423241 & NaN & NaN \\ +429 & 1834 & 475 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +430 & 1834 & 476 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +573 & 1834 & 477 & 6 & 150319 & 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& NaN \\ +317 & 1834 & 495 & 7 & 10319 & NaN & 18.787542 & NaN & NaN \\ +318 & 1834 & 496 & 7 & 10319 & NaN & 3.671280 & NaN & NaN \\ +512 & 1834 & 497 & 7 & 10319 & NaN & NaN & NaN & 26.459125 \\ +513 & 1834 & 498 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +514 & 1834 & 499 & 7 & 10319 & NaN & NaN & NaN & 31.586092 \\ +595 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 21.913343 \\ +596 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 26.726558 \\ +147 & 1834 & 502 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +148 & 1834 & 503 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +333 & 1834 & 504 & 7 & 60319 & NaN & 2.362587 & NaN & NaN \\ +334 & 1834 & 505 & 7 & 60319 & NaN & 6.554053 & NaN & NaN \\ +335 & 1834 & 506 & 7 & 60319 & NaN & 11.561466 & NaN & 26.696621 \\ +336 & 1834 & 507 & 7 & 60319 & NaN & 2.498630 & NaN & 10.023638 \\ +337 & 1834 & 508 & 7 & 60319 & NaN & 2.187946 & NaN & 10.310497 \\ +473 & 1834 & 509 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +617 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 5.829726 \\ +618 & 1834 & 511 & 7 & 60319 & NaN & NaN & NaN & 3.207299 \\ +76 & 1834 & 512 & 7 & 110319 & NaN & 1.987673 & NaN & NaN \\ +77 & 1834 & 513 & 7 & 110319 & NaN & NaN & NaN & NaN \\ +78 & 1834 & 514 & 7 & 110319 & NaN & 14.535530 & NaN & NaN \\ +79 & 1834 & 515 & 7 & 110319 & NaN & NaN & NaN & NaN \\ +355 & 1834 & 516 & 7 & 110319 & NaN & 1.525366 & NaN & NaN \\ +356 & 1834 & 517 & 7 & 110319 & NaN & 3.323214 & NaN & NaN \\ +357 & 1834 & 519 & 7 & 110319 & NaN & 3.163652 & NaN & NaN \\ +358 & 1834 & 520 & 7 & 110319 & NaN & 2.444509 & NaN & NaN \\ +154 & 1834 & 527 & 7 & 120319 & NaN & 1.736056 & NaN & 11.797041 \\ +155 & 1834 & 528 & 7 & 120319 & NaN & NaN & NaN & NaN \\ +240 & 1834 & 529 & 7 & 120319 & NaN & 4.018508 & NaN & 4.097877 \\ +241 & 1834 & 530 & 7 & 120319 & NaN & 5.720566 & NaN & NaN \\ +37 & 1834 & 531 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +38 & 1834 & 532 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +39 & 1834 & 533 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +40 & 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& 1834 & 567 & 7 & 220319 & NaN & NaN & NaN & 7.510891 \\ +584 & 1834 & 568 & 7 & 220319 & NaN & NaN & NaN & 3.931012 \\ +385 & 1839 & 569 & 0 & 120619 & NaN & 0.290728 & NaN & NaN \\ +43 & 1839 & 572 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +268 & 1839 & 574 & 0 & 290519 & NaN & 0.178338 & NaN & NaN \\ +515 & 1839 & 576 & 1 & 120619 & NaN & NaN & NaN & 12.573619 \\ +390 & 1839 & 579 & 1 & 200619 & NaN & 0.286997 & NaN & NaN \\ +44 & 1839 & 580 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +516 & 1839 & 581 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +517 & 1839 & 582 & 3 & 120619 & NaN & NaN & NaN & NaN \\ +532 & 1839 & 583 & 3 & 120619 & NaN & NaN & NaN & 0.148481 \\ +66 & 1839 & 584 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +391 & 1839 & 585 & 3 & 200619 & NaN & 0.123188 & NaN & NaN \\ +156 & 1839 & 586 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +217 & 1839 & 587 & 4 & 60619 & NaN & 2.603147 & NaN & NaN \\ +459 & 1839 & 588 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +635 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 16.229796 \\ +386 & 1839 & 590 & 4 & 120619 & NaN & 1.815641 & NaN & NaN \\ +518 & 1839 & 591 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +519 & 1839 & 592 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +533 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 5.639689 \\ +534 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 4.785128 \\ +535 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 38.629678 \\ +536 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 3.659420 \\ +67 & 1839 & 597 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +392 & 1839 & 598 & 4 & 200619 & NaN & 4.027777 & NaN & NaN \\ +393 & 1839 & 599 & 4 & 200619 & NaN & 6.894045 & NaN & NaN \\ +394 & 1839 & 600 & 4 & 200619 & NaN & 7.265411 & NaN & NaN \\ +45 & 1839 & 601 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +46 & 1839 & 602 & 4 & 290519 & NaN & 5.354938 & NaN & NaN \\ +269 & 1839 & 603 & 4 & 290519 & NaN & 9.608038 & NaN & NaN \\ +218 & 1839 & 606 & 5 & 60619 & NaN & 3.984656 & NaN & 11.814480 \\ +460 & 1839 & 607 & 5 & 60619 & NaN & NaN & NaN & NaN \\ +636 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 18.446394 \\ +387 & 1839 & 610 & 5 & 120619 & NaN & 3.679548 & NaN & NaN \\ +395 & 1839 & 614 & 5 & 200619 & NaN & 7.371240 & NaN & NaN \\ +270 & 1839 & 618 & 5 & 290519 & NaN & 0.077296 & NaN & NaN \\ +271 & 1839 & 619 & 5 & 290519 & NaN & 0.347164 & NaN & NaN \\ +272 & 1839 & 620 & 5 & 290519 & NaN & 4.564811 & NaN & NaN \\ +219 & 1839 & 623 & 6 & 60619 & NaN & 11.795834 & NaN & NaN \\ +637 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 13.189992 \\ +638 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 15.100127 \\ +388 & 1839 & 630 & 6 & 120619 & NaN & 10.681413 & NaN & NaN \\ +389 & 1839 & 631 & 6 & 120619 & NaN & 12.068934 & NaN & NaN \\ +520 & 1839 & 634 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +521 & 1839 & 635 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +537 & 1839 & 636 & 6 & 120619 & NaN & NaN & NaN & 0.987854 \\ +538 & 1839 & 637 & 6 & 120619 & NaN & NaN & NaN & 14.082127 \\ +539 & 1839 & 638 & 6 & 120619 & NaN & NaN & NaN & 19.993599 \\ +540 & 1839 & 639 & 6 & 120619 & NaN & NaN & NaN & 0.432399 \\ +541 & 1839 & 640 & 6 & 120619 & NaN & NaN & NaN & 7.555146 \\ +396 & 1839 & 643 & 6 & 200619 & NaN & 2.306051 & NaN & NaN \\ +397 & 1839 & 647 & 6 & 200619 & NaN & 6.814309 & NaN & NaN \\ +398 & 1839 & 648 & 6 & 200619 & NaN & 5.120576 & NaN & NaN \\ +399 & 1839 & 650 & 6 & 200619 & NaN & 11.352860 & NaN & NaN \\ +47 & 1839 & 651 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +48 & 1839 & 652 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +273 & 1839 & 653 & 6 & 290519 & NaN & 5.201620 & NaN & NaN \\ +274 & 1839 & 654 & 6 & 290519 & NaN & 3.706136 & NaN & NaN \\ +275 & 1839 & 657 & 7 & 290519 & NaN & 5.725043 & NaN & NaN \\ +400 & 1839 & 662 & 7 & 200619 & NaN & 10.939072 & NaN & NaN \\ +401 & 1839 & 663 & 7 & 200619 & NaN & 12.875029 & NaN & NaN \\ +402 & 1839 & 664 & 7 & 200619 & NaN & 5.110626 & NaN & NaN \\ +49 & 1839 & 665 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +50 & 1839 & 668 & 7 & 290519 & NaN & NaN & NaN & NaN \\ 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& 0 & 280219 & NaN & NaN & NaN & NaN \\ +546 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 17.652649 \\ +547 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 10.217437 \\ +648 & 1849 & 691 & 1 & 220319 & NaN & NaN & NaN & 31.855065 \\ +108 & 1849 & 699 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +109 & 1849 & 700 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +110 & 1849 & 701 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +111 & 1849 & 702 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +419 & 1849 & 703 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +420 & 1849 & 705 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +421 & 1849 & 706 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +422 & 1849 & 707 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +597 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.055347 \\ +174 & 1849 & 709 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +175 & 1849 & 710 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +176 & 1849 & 711 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +177 & 1849 & 712 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +178 & 1849 & 713 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +179 & 1849 & 714 & 1 & 110319 & NaN & 7.018557 & NaN & NaN \\ +221 & 1849 & 716 & 1 & 110319 & NaN & 8.300943 & NaN & NaN \\ +222 & 1849 & 717 & 1 & 110319 & NaN & 0.881784 & NaN & NaN \\ +223 & 1849 & 718 & 1 & 110319 & NaN & 5.590280 & NaN & NaN \\ +159 & 1849 & 720 & 1 & 150319 & NaN & 8.293387 & NaN & NaN \\ +160 & 1849 & 721 & 1 & 150319 & NaN & 8.660003 & NaN & NaN \\ +161 & 1849 & 722 & 1 & 150319 & NaN & 8.819780 & NaN & NaN \\ +462 & 1849 & 723 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +606 & 1849 & 724 & 1 & 150319 & NaN & NaN & NaN & 21.876345 \\ +607 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 35.670133 \\ +608 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 727 & 1 & 220319 & NaN & NaN & NaN & NaN \\ +248 & 1849 & 728 & 1 & 220319 & NaN & 13.841553 & NaN & NaN \\ +249 & 1849 & 729 & 1 & 220319 & NaN & 9.497605 & NaN & NaN \\ +494 & 1849 & 731 & 1 & 220319 & NaN & NaN & NaN & NaN \\ +495 & 1849 & 732 & 1 & 220319 & 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& 2 & 60319 & NaN & 4.840980 & NaN & 23.791036 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 28.744502 \\ +181 & 1849 & 756 & 2 & 110319 & NaN & 6.811009 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & NaN & 4.644625 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & NaN & 7.472730 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 4.661545 & NaN & 9.506606 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 17.754687 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 13.088699 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +204 & 1849 & 766 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +205 & 1849 & 767 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +206 & 1849 & 768 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +291 & 1849 & 769 & 2 & 280219 & NaN & 7.176051 & NaN & NaN \\ +292 & 1849 & 770 & 2 & 280219 & NaN & 13.129650 & NaN & NaN \\ +442 & 1849 & 771 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +551 & 1849 & 773 & 2 & 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8.574562 & NaN & NaN \\ +294 & 1849 & 811 & 3 & 280219 & NaN & 3.960803 & NaN & NaN \\ +295 & 1849 & 812 & 3 & 280219 & NaN & 8.142104 & NaN & NaN \\ +296 & 1849 & 813 & 3 & 280219 & NaN & 13.490793 & NaN & 15.460995 \\ +443 & 1849 & 814 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +444 & 1849 & 815 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +552 & 1849 & 816 & 3 & 280219 & NaN & NaN & NaN & 10.061824 \\ +553 & 1849 & 817 & 3 & 280219 & NaN & NaN & NaN & 23.177053 \\ +554 & 1849 & 818 & 3 & 280219 & NaN & NaN & NaN & 30.677860 \\ +116 & 1849 & 820 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +341 & 1849 & 822 & 4 & 60319 & NaN & 3.709395 & NaN & NaN \\ +599 & 1849 & 824 & 4 & 60319 & NaN & NaN & NaN & 4.655455 \\ +225 & 1849 & 825 & 4 & 110319 & NaN & 3.194517 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 6.741479 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 837 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 7.754257 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 8.716616 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +102 & 1849 & 848 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 5.634743 & NaN & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 18.227024 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 4.344403 \\ +184 & 1849 & 857 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +185 & 1849 & 858 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +186 & 1849 & 859 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +226 & 1849 & 860 & 5 & 110319 & NaN & 4.959127 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mode 100644 index 000000000..c10cd9f7e --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_stim_vec_len.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.111706 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.188152 \\ +6 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & NaN & 0.149632 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & NaN & 0.405836 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.304167 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.247296 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & NaN & 0.047480 & NaN & 0.142669 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.085582 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.148203 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.218907 \\ +92 & 1833 & 21 & 0 & 120619 & NaN & 0.470068 & NaN & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.064931 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.081673 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.103213 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.090675 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.153849 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 0.104587 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.269263 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.256080 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.237151 \\ +93 & 1833 & 72 & 1 & 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+213,1849,905,6,280219,2.329099700106492,,, +214,1849,906,6,280219,2.5282532617404314,,, +299,1849,909,6,280219,,1.2735417882791007,, +300,1849,910,6,280219,,1.1994376400920108,, +447,1849,912,6,280219,,,2.605111432306489, +448,1849,913,6,280219,,,2.680459674909506, +449,1849,914,6,280219,,,2.3884833903061486, +450,1849,915,6,280219,,,2.7071572532294685, +555,1849,916,6,280219,,,,3.4769899619622224 +556,1849,917,6,280219,,,,2.564475474510989 +106,1849,918,7,10319,3.611123235331824,,, +120,1849,922,7,60319,3.919501768870224,,, +121,1849,923,7,60319,3.9269005875265233,,, +344,1849,924,7,60319,,5.936943929751487,, +345,1849,925,7,60319,,0.9471030128425943,, +346,1849,926,7,60319,,0.7469754067726311,, +424,1849,928,7,60319,,,3.8623356173979655, +603,1849,929,7,60319,,,,6.134470355900419 +172,1849,930,7,150319,4.496367623707548,,, +215,1849,931,7,280219,2.8147676632635217,,, +216,1849,933,7,280219,2.6913906017278872,,, +301,1849,934,7,280219,,3.430217407268298,, +302,1849,935,7,280219,,0.3767094389477239,, +303,1849,936,7,280219,,1.5212742367923937,, +451,1849,938,7,280219,,,3.4281403203961758, +558,1849,940,7,280219,,,,4.825021617314651 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_ang.tex new file mode 100644 index 000000000..316d54255 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_ang.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 3.482781 & NaN & 3.483769 & 5.528602 \\ +0 & 1833 & 1 & 0 & 260619 & 3.666623 & NaN & 3.473120 & 2.705479 \\ +6 & 1833 & 2 & 0 & 10719 & 2.945079 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 6.153669 & 0.313144 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 3.481535 & 3.459196 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 4.307562 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 4.207207 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 3.407536 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 4.065784 & 0.425439 & 3.871936 & 4.179700 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 3.233444 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 3.745112 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 3.478024 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 3.569579 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 5.491820 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 6.179627 \\ +92 & 1833 & 21 & 0 & 120619 & 3.581836 & 0.330383 & 3.770230 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 2.757737 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 4.274528 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 2.891813 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 6.246247 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 3.019804 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 3.689311 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 4.679092 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 3.907931 & NaN & 3.663828 & 2.178561 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 5.119317 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 3.603367 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.532261 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 2.933962 \\ +93 & 1833 & 72 & 1 & 120619 & 3.668071 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 3.908753 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 6.064886 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 3.730762 & 3.100482 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 4.900821 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 3.562097 & 4.132793 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 3.265809 \\ +51 & 1833 & 87 & 1 & 290519 & 3.456967 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.596666 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 1.232063 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 3.772264 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 2.273019 \\ +190 & 1833 & 96 & 2 & 20719 & 3.863020 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 4.362943 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 4.695501 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 3.175038 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & 2.941935 & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 5.380165 \\ +94 & 1833 & 109 & 2 & 120619 & 3.654107 & NaN & 3.585883 & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 1.375039 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 5.261635 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 4.831215 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 4.761609 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & 3.839551 & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 6.139993 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 4.942607 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 1.985144 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 2.567711 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.100361 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & 4.140775 & NaN & 3.860330 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 4.990445 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.950436 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 2.377109 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 4.193659 \\ +196 & 1833 & 145 & 3 & 200619 & 4.003475 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 5.928969 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 3.958118 & 1.636266 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 1.550366 \\ +52 & 1833 & 156 & 3 & 290519 & 3.596605 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 5.195088 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 1.317758 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 4.628517 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 3.587713 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 3.653400 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 2.310491 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & 3.715673 & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & 3.178870 & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 5.745025 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 5.443245 \\ +53 & 1833 & 178 & 4 & 290519 & 3.975757 & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & 3.206905 & NaN \\ +11 & 1833 & 187 & 5 & 10719 & 4.276352 & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 5.085854 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & 4.067122 & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 3.021953 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 4.300399 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & 3.931899 & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 3.690782 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 1.917919 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 4.813978 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & 3.848708 & NaN \\ +54 & 1833 & 212 & 5 & 290519 & 3.473111 & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & 3.436817 & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & 3.564577 & 4.556544 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & 3.075104 & NaN \\ +12 & 1833 & 219 & 6 & 10719 & 3.721053 & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & 4.047198 & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & 3.531864 & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & 1.814710 & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 4.867185 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & 3.545239 & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 4.800581 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & 3.452463 & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & 3.335446 & 5.491001 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 5.009959 \\ +32 & 1833 & 230 & 6 & 50619 & 1.986142 & 3.426808 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & 3.881097 & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 3.133909 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 5.647950 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 1.843981 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 2.209924 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 2.833005 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 3.102437 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & 3.719213 & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.634063 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.098386 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & 3.779682 & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 1.052157 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.749114 \\ +2 & 1833 & 264 & 6 & 260619 & 3.970381 & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 5.399648 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 5.132417 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 5.923545 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 5.474875 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 2.060433 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 5.153670 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 4.174761 \\ +56 & 1833 & 276 & 6 & 290519 & 3.627291 & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & 3.648211 & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & 4.107046 & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & 4.179892 & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & 3.969499 & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 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280219 & NaN & NaN & NaN & 1.736190 \\ +547 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 3.658607 \\ +95 & 1849 & 691 & 1 & 10319 & 3.746920 & NaN & NaN & NaN \\ +108 & 1849 & 699 & 1 & 60319 & 3.355469 & NaN & NaN & NaN \\ +109 & 1849 & 700 & 1 & 60319 & 4.111993 & NaN & NaN & NaN \\ +110 & 1849 & 701 & 1 & 60319 & 3.402987 & NaN & NaN & NaN \\ +111 & 1849 & 702 & 1 & 60319 & 3.331529 & NaN & NaN & NaN \\ +419 & 1849 & 703 & 1 & 60319 & NaN & NaN & 3.348139 & NaN \\ +420 & 1849 & 705 & 1 & 60319 & NaN & NaN & 5.419640 & NaN \\ +421 & 1849 & 706 & 1 & 60319 & NaN & NaN & 3.677778 & NaN \\ +422 & 1849 & 707 & 1 & 60319 & NaN & NaN & 3.452579 & NaN \\ +597 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 4.214156 \\ +174 & 1849 & 709 & 1 & 110319 & 3.274986 & NaN & NaN & NaN \\ +175 & 1849 & 710 & 1 & 110319 & 3.319643 & NaN & NaN & NaN \\ +176 & 1849 & 711 & 1 & 110319 & 3.480087 & NaN & NaN & NaN \\ +177 & 1849 & 712 & 1 & 110319 & 3.127327 & NaN & NaN & NaN \\ +178 & 1849 & 713 & 1 & 110319 & 3.386959 & NaN & NaN & NaN \\ +179 & 1849 & 714 & 1 & 110319 & 2.668279 & 4.083275 & NaN & NaN \\ +221 & 1849 & 716 & 1 & 110319 & NaN & 4.194924 & NaN & NaN \\ +222 & 1849 & 717 & 1 & 110319 & NaN & 4.395530 & NaN & NaN \\ +223 & 1849 & 718 & 1 & 110319 & NaN & 4.667844 & NaN & NaN \\ +159 & 1849 & 720 & 1 & 150319 & 3.558319 & 2.191602 & 3.530334 & NaN \\ +160 & 1849 & 721 & 1 & 150319 & 3.665449 & 2.126420 & 3.642977 & NaN \\ +161 & 1849 & 722 & 1 & 150319 & 3.544347 & 2.074209 & 3.471536 & NaN \\ +462 & 1849 & 723 & 1 & 150319 & NaN & NaN & 6.075705 & NaN \\ +606 & 1849 & 724 & 1 & 150319 & NaN & NaN & NaN & 1.802661 \\ +607 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 3.082843 \\ +608 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 727 & 1 & 220319 & 3.471772 & NaN & NaN & NaN \\ +248 & 1849 & 728 & 1 & 220319 & NaN & 5.890391 & NaN & NaN \\ +249 & 1849 & 729 & 1 & 220319 & NaN & 3.907520 & NaN & NaN \\ +494 & 1849 & 731 & 1 & 220319 & NaN & NaN & 3.393088 & NaN \\ +495 & 1849 & 732 & 1 & 220319 & NaN & NaN & 3.506141 & NaN \\ +496 & 1849 & 733 & 1 & 220319 & NaN & NaN & 3.649970 & NaN \\ +198 & 1849 & 734 & 1 & 280219 & 3.622400 & NaN & NaN & NaN \\ +199 & 1849 & 735 & 1 & 280219 & 3.022220 & NaN & NaN & NaN \\ +200 & 1849 & 736 & 1 & 280219 & 5.690310 & NaN & NaN & NaN \\ +201 & 1849 & 737 & 1 & 280219 & 3.483473 & NaN & NaN & NaN \\ +202 & 1849 & 738 & 1 & 280219 & 3.347012 & NaN & NaN & NaN \\ +289 & 1849 & 739 & 1 & 280219 & NaN & 4.904906 & NaN & 1.208178 \\ +290 & 1849 & 740 & 1 & 280219 & NaN & 1.110853 & NaN & NaN \\ +440 & 1849 & 741 & 1 & 280219 & NaN & NaN & 3.759592 & NaN \\ +441 & 1849 & 742 & 1 & 280219 & NaN & NaN & 3.757101 & NaN \\ +549 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 3.196329 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 2.907288 \\ +96 & 1849 & 745 & 2 & 10319 & 3.186727 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 2.035458 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 3.131116 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 3.415843 & 4.687717 & 3.469220 & 3.127306 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 1.337974 & NaN & 4.148481 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.823569 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 4.163006 \\ +181 & 1849 & 756 & 2 & 110319 & 3.340334 & 3.126587 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 4.194435 & 3.494694 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & 3.452985 & 2.303749 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 0.763479 & 3.301875 & 4.740265 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 2.524934 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 4.642938 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & 2.498031 & NaN & NaN & NaN \\ +204 & 1849 & 766 & 2 & 280219 & 3.337060 & NaN & NaN & NaN \\ +205 & 1849 & 767 & 2 & 280219 & 2.274571 & NaN & NaN & NaN \\ +206 & 1849 & 768 & 2 & 280219 & 2.815561 & NaN & NaN & NaN \\ +291 & 1849 & 769 & 2 & 280219 & NaN & 1.316396 & NaN & NaN \\ +292 & 1849 & 770 & 2 & 280219 & NaN & 1.708341 & NaN & NaN \\ +442 & 1849 & 771 & 2 & 280219 & NaN & NaN & 3.404752 & NaN \\ +551 & 1849 & 773 & 2 & 280219 & NaN & NaN & NaN & 0.546477 \\ +99 & 1849 & 774 & 3 & 10319 & 3.551442 & NaN & NaN & NaN \\ +100 & 1849 & 775 & 3 & 10319 & 3.605893 & NaN & NaN & NaN \\ +101 & 1849 & 776 & 3 & 10319 & 3.311645 & NaN & NaN & NaN \\ +112 & 1849 & 780 & 3 & 60319 & 3.342859 & NaN & NaN & NaN \\ +113 & 1849 & 781 & 3 & 60319 & 3.390856 & NaN & NaN & NaN \\ +114 & 1849 & 782 & 3 & 60319 & 3.421055 & NaN & NaN & NaN \\ +115 & 1849 & 783 & 3 & 60319 & 3.018138 & 1.909543 & 3.035019 & 5.266122 \\ +339 & 1849 & 784 & 3 & 60319 & NaN & 2.163696 & NaN & NaN \\ +340 & 1849 & 785 & 3 & 60319 & NaN & 1.686833 & 3.390830 & 4.870669 \\ +183 & 1849 & 786 & 3 & 110319 & 3.231282 & NaN & NaN & NaN \\ +224 & 1849 & 787 & 3 & 110319 & NaN & 3.839322 & NaN & NaN \\ +164 & 1849 & 788 & 3 & 150319 & 3.538858 & NaN & NaN & NaN \\ +165 & 1849 & 789 & 3 & 150319 & 3.690847 & NaN & NaN & NaN \\ +281 & 1849 & 790 & 3 & 150319 & NaN & 2.454985 & NaN & NaN \\ +282 & 1849 & 791 & 3 & 150319 & NaN & 2.554260 & NaN & NaN \\ +463 & 1849 & 792 & 3 & 150319 & NaN & NaN & 3.601207 & NaN \\ +610 & 1849 & 793 & 3 & 150319 & NaN & NaN & NaN & 2.696429 \\ +22 & 1849 & 794 & 3 & 220319 & 3.310352 & NaN & NaN & NaN \\ +23 & 1849 & 795 & 3 & 220319 & 3.230621 & NaN & NaN & NaN \\ +24 & 1849 & 796 & 3 & 220319 & 3.292244 & NaN & NaN & NaN \\ +25 & 1849 & 797 & 3 & 220319 & 3.367028 & NaN & NaN & NaN \\ +251 & 1849 & 798 & 3 & 220319 & NaN & 5.114573 & NaN & NaN \\ +252 & 1849 & 799 & 3 & 220319 & NaN & 3.958474 & NaN & NaN \\ +497 & 1849 & 800 & 3 & 220319 & NaN & NaN & 4.971039 & NaN \\ +498 & 1849 & 801 & 3 & 220319 & NaN & NaN & 3.537219 & NaN \\ +499 & 1849 & 802 & 3 & 220319 & NaN & NaN & 3.336212 & NaN \\ +649 & 1849 & 803 & 3 & 220319 & NaN & NaN & NaN & 4.537751 \\ +650 & 1849 & 804 & 3 & 220319 & NaN & NaN & NaN & 0.962415 \\ +651 & 1849 & 805 & 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1849 & 825 & 4 & 110319 & NaN & 3.680560 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & 3.964864 & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & 3.434858 & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 1.822956 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & 3.521019 & NaN \\ +26 & 1849 & 837 & 4 & 220319 & 3.776564 & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & 3.717035 & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & 3.547368 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 4.835492 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 1.422927 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 3.565484 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 3.713181 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 3.445158 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 3.961109 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 4.020108 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 0.200169 & 3.784089 & NaN \\ 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3.973643 & NaN \\ +466 & 1849 & 872 & 5 & 150319 & NaN & NaN & 3.831579 & NaN \\ +611 & 1849 & 873 & 5 & 150319 & NaN & NaN & NaN & 0.334215 \\ +29 & 1849 & 874 & 5 & 220319 & 3.967784 & NaN & NaN & NaN \\ +30 & 1849 & 875 & 5 & 220319 & 3.834130 & NaN & NaN & NaN \\ +31 & 1849 & 876 & 5 & 220319 & 3.709087 & NaN & NaN & NaN \\ +254 & 1849 & 877 & 5 & 220319 & NaN & 5.615541 & NaN & NaN \\ +255 & 1849 & 878 & 5 & 220319 & NaN & 5.564019 & NaN & NaN \\ +256 & 1849 & 879 & 5 & 220319 & NaN & 5.637138 & NaN & NaN \\ +500 & 1849 & 880 & 5 & 220319 & NaN & NaN & 3.528318 & NaN \\ +501 & 1849 & 881 & 5 & 220319 & NaN & NaN & 3.618575 & NaN \\ +502 & 1849 & 882 & 5 & 220319 & NaN & NaN & 3.695832 & NaN \\ +652 & 1849 & 883 & 5 & 220319 & NaN & NaN & NaN & 0.791284 \\ +653 & 1849 & 884 & 5 & 220319 & NaN & NaN & NaN & 6.030141 \\ +654 & 1849 & 885 & 5 & 220319 & NaN & NaN & NaN & 5.645204 \\ +655 & 1849 & 886 & 5 & 220319 & NaN & NaN & NaN & 4.030372 \\ +210 & 1849 & 887 & 5 & 280219 & 4.071545 & NaN & NaN & NaN \\ +298 & 1849 & 888 & 5 & 280219 & NaN & 0.599479 & NaN & NaN \\ +446 & 1849 & 889 & 5 & 280219 & NaN & NaN & 3.616389 & NaN \\ +104 & 1849 & 892 & 6 & 10319 & 2.662471 & NaN & NaN & NaN \\ +105 & 1849 & 894 & 6 & 10319 & 2.968631 & NaN & NaN & NaN \\ +119 & 1849 & 900 & 6 & 60319 & 3.888056 & NaN & NaN & NaN \\ +601 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 3.063985 \\ +602 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 1.103770 \\ +211 & 1849 & 903 & 6 & 280219 & 3.351158 & NaN & NaN & NaN \\ +212 & 1849 & 904 & 6 & 280219 & 2.913460 & NaN & NaN & NaN \\ +213 & 1849 & 905 & 6 & 280219 & 2.329100 & NaN & NaN & NaN \\ +214 & 1849 & 906 & 6 & 280219 & 2.528253 & NaN & NaN & NaN \\ +299 & 1849 & 909 & 6 & 280219 & NaN & 1.273542 & NaN & NaN \\ +300 & 1849 & 910 & 6 & 280219 & NaN & 1.199438 & NaN & NaN \\ +447 & 1849 & 912 & 6 & 280219 & NaN & NaN & 2.605111 & NaN \\ +448 & 1849 & 913 & 6 & 280219 & NaN & NaN & 2.680460 & NaN \\ +449 & 1849 & 914 & 6 & 280219 & NaN & NaN & 2.388483 & NaN \\ +450 & 1849 & 915 & 6 & 280219 & NaN & NaN & 2.707157 & NaN \\ +555 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 3.476990 \\ +556 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 2.564475 \\ +106 & 1849 & 918 & 7 & 10319 & 3.611123 & NaN & NaN & NaN \\ +120 & 1849 & 922 & 7 & 60319 & 3.919502 & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & 3.926901 & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 5.936944 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.947103 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.746975 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & 3.862336 & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 6.134470 \\ +172 & 1849 & 930 & 7 & 150319 & 4.496368 & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & 2.814768 & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & 2.691391 & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 3.430217 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 0.376709 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 1.521274 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & 3.428140 & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 4.825022 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_energy.csv new file mode 100644 index 000000000..1dcaf75c7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_energy.csv @@ -0,0 +1,640 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +187,1833,0,0,20719,0.6340152134727125,,0.6445513316137451,0.09094943589283908 +0,1833,1,0,260619,0.312490519139517,,0.33462958897920003,0.023861185519810747 +6,1833,2,0,10719,0.08024826167681444,,, +7,1833,3,0,10719,0.3374923459301114,0.059981962875486315,, 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+1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 0.634015 & NaN & 0.644551 & 0.090949 \\ +0 & 1833 & 1 & 0 & 260619 & 0.312491 & NaN & 0.334630 & 0.023861 \\ +6 & 1833 & 2 & 0 & 10719 & 0.080248 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 0.337492 & 0.059982 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 0.439634 & 0.138442 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.079314 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.062337 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 0.204736 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 0.235818 & 0.058547 & 0.192371 & 0.051049 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.050004 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.072548 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.086136 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.047231 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.078996 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.387703 \\ +92 & 1833 & 21 & 0 & 120619 & 0.287455 & 0.186143 & 0.234856 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.020001 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.058156 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.038109 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.081245 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.042891 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 0.578600 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.037309 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 0.172656 & NaN & 0.622918 & 0.060395 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.048348 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 0.564050 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.133390 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.201033 \\ +93 & 1833 & 72 & 1 & 120619 & 1.088465 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 0.740366 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 0.117685 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 0.854958 & 0.103280 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 0.310974 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 0.761096 & 0.049944 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.028222 \\ +51 & 1833 & 87 & 1 & 290519 & 0.192274 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.039361 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.027260 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 0.809791 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.171870 \\ +190 & 1833 & 96 & 2 & 20719 & 0.711058 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.046234 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.077764 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.071191 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.136888 & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.074012 \\ +94 & 1833 & 109 & 2 & 120619 & 1.241677 & NaN & 0.251571 & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.143336 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.123065 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.157177 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.281918 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & 0.288335 & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.043678 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.023703 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.020716 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.026548 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.027058 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & 0.252138 & NaN & 0.379969 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.044403 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.078434 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.042291 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.033141 \\ +196 & 1833 & 145 & 3 & 200619 & 0.135395 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.045801 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.116236 & 0.022158 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.060142 \\ +52 & 1833 & 156 & 3 & 290519 & 0.113426 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 0.028263 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 0.028243 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 0.435905 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.261800 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.052794 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 0.031113 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.132521 & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.022447 & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 0.038990 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.201434 \\ +53 & 1833 & 178 & 4 & 290519 & 0.111934 & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & 0.606036 & NaN \\ +11 & 1833 & 187 & 5 & 10719 & 0.167248 & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 0.101714 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & 0.984592 & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 0.099679 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 0.047431 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & 0.201694 & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.071844 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.259987 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.118636 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.058101 & NaN \\ +54 & 1833 & 212 & 5 & 290519 & 0.352538 & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & 0.060857 & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & 0.736196 & 0.126542 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & 0.808203 & NaN \\ +12 & 1833 & 219 & 6 & 10719 & 0.266619 & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & 0.052904 & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & 0.186408 & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & 0.051255 & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 0.077997 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & 1.537687 & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 0.087320 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.141280 & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & 1.200125 & 0.185570 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.056224 \\ +32 & 1833 & 230 & 6 & 50619 & 0.047327 & 0.025266 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & 0.439479 & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.025622 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.033055 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 0.190019 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.034367 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.074913 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.036972 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & 0.139408 & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.059171 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.022274 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & 0.235036 & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.043683 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.033025 \\ +2 & 1833 & 264 & 6 & 260619 & 0.090224 & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 0.029920 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 0.059216 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 0.028801 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 0.027456 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 0.042981 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 0.029109 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 0.022799 \\ +56 & 1833 & 276 & 6 & 290519 & 0.052253 & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & 0.738254 & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & 0.030418 & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & 0.052296 & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & 0.035816 & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 0.300063 & NaN & NaN \\ +456 & 1833 & 287 & 6 & 290519 & NaN & NaN & 0.141463 & NaN \\ +457 & 1833 & 288 & 6 & 290519 & NaN & NaN & 0.083260 & NaN \\ +458 & 1833 & 289 & 6 & 290519 & NaN & NaN & 0.077104 & NaN \\ +629 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.047442 \\ +630 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.053097 \\ +631 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.028041 \\ +16 & 1833 & 293 & 7 & 10719 & 0.064339 & NaN & NaN & NaN \\ +17 & 1833 & 294 & 7 & 10719 & 0.189623 & 0.042701 & NaN & NaN \\ +18 & 1833 & 295 & 7 & 10719 & 0.038536 & NaN & NaN & NaN \\ +417 & 1833 & 296 & 7 & 10719 & NaN & 0.027364 & NaN & NaN \\ +418 & 1833 & 297 & 7 & 10719 & NaN & 0.035335 & NaN & NaN \\ +322 & 1833 & 298 & 7 & 50619 & NaN & 0.032038 & NaN & NaN \\ +647 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 0.035351 \\ +626 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 0.050656 \\ +375 & 1833 & 305 & 7 & 200619 & NaN & 0.045293 & NaN & NaN \\ +376 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +531 & 1833 & 307 & 7 & 200619 & NaN & NaN & 0.019732 & NaN \\ +3 & 1833 & 308 & 7 & 260619 & 0.054737 & NaN & NaN & NaN \\ +527 & 1833 & 309 & 7 & 260619 & NaN & NaN & 0.021768 & NaN \\ +528 & 1833 & 310 & 7 & 260619 & NaN & NaN & 0.018722 & NaN \\ +624 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 0.021355 \\ +61 & 1833 & 312 & 7 & 290519 & 0.020033 & NaN & NaN & NaN \\ +62 & 1833 & 313 & 7 & 290519 & 0.025149 & NaN & NaN & NaN \\ +63 & 1833 & 314 & 7 & 290519 & 0.028957 & NaN & NaN & NaN \\ +64 & 1833 & 315 & 7 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60319 & NaN & NaN & 0.180778 & NaN \\ +422 & 1849 & 707 & 1 & 60319 & NaN & NaN & 0.536601 & NaN \\ +597 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.234598 \\ +174 & 1849 & 709 & 1 & 110319 & 0.188943 & NaN & NaN & NaN \\ +175 & 1849 & 710 & 1 & 110319 & 0.234213 & NaN & NaN & NaN \\ +176 & 1849 & 711 & 1 & 110319 & 0.266339 & NaN & NaN & NaN \\ +177 & 1849 & 712 & 1 & 110319 & 0.032844 & NaN & NaN & NaN \\ +178 & 1849 & 713 & 1 & 110319 & 0.233926 & NaN & NaN & NaN \\ +179 & 1849 & 714 & 1 & 110319 & 0.082182 & 0.076645 & NaN & NaN \\ +221 & 1849 & 716 & 1 & 110319 & NaN & 0.127903 & NaN & NaN \\ +222 & 1849 & 717 & 1 & 110319 & NaN & 0.041020 & NaN & NaN \\ +223 & 1849 & 718 & 1 & 110319 & NaN & 0.056686 & NaN & NaN \\ +159 & 1849 & 720 & 1 & 150319 & 0.632518 & 0.121375 & 0.586686 & NaN \\ +160 & 1849 & 721 & 1 & 150319 & 0.248341 & 0.049793 & 0.225948 & NaN \\ +161 & 1849 & 722 & 1 & 150319 & 0.416725 & 0.102364 & 0.379502 & NaN \\ +462 & 1849 & 723 & 1 & 150319 & NaN & NaN & 0.103416 & NaN \\ +606 & 1849 & 724 & 1 & 150319 & NaN & NaN & NaN & 0.026706 \\ +607 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 0.025683 \\ +608 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 727 & 1 & 220319 & 0.686150 & NaN & NaN & NaN \\ +248 & 1849 & 728 & 1 & 220319 & NaN & 0.047348 & NaN & NaN \\ +249 & 1849 & 729 & 1 & 220319 & NaN & 0.047056 & NaN & NaN \\ +494 & 1849 & 731 & 1 & 220319 & NaN & NaN & 0.386292 & NaN \\ +495 & 1849 & 732 & 1 & 220319 & NaN & NaN & 0.197223 & NaN \\ +496 & 1849 & 733 & 1 & 220319 & NaN & NaN & 0.132198 & NaN \\ +198 & 1849 & 734 & 1 & 280219 & 0.017724 & NaN & NaN & NaN \\ +199 & 1849 & 735 & 1 & 280219 & 0.015166 & NaN & NaN & NaN \\ +200 & 1849 & 736 & 1 & 280219 & 0.013097 & NaN & NaN & NaN \\ +201 & 1849 & 737 & 1 & 280219 & 0.014542 & NaN & NaN & NaN \\ +202 & 1849 & 738 & 1 & 280219 & 0.018130 & NaN & NaN & NaN \\ +289 & 1849 & 739 & 1 & 280219 & NaN & 0.104395 & NaN & 0.035268 \\ +290 & 1849 & 740 & 1 & 280219 & NaN & 0.194132 & NaN & NaN \\ +440 & 1849 & 741 & 1 & 280219 & NaN & NaN & 0.435048 & NaN \\ +441 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.339074 & NaN \\ +549 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.085441 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.049581 \\ +96 & 1849 & 745 & 2 & 10319 & 0.333408 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 0.016586 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 0.820086 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 0.691657 & 0.164956 & 0.868593 & 0.035459 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 0.255503 & NaN & 0.045288 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.044208 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.031431 \\ +181 & 1849 & 756 & 2 & 110319 & 0.060017 & 0.135443 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 0.090531 & 0.043034 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & 0.394097 & 0.129156 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 0.058650 & 0.024615 & 0.029082 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 0.044426 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 0.032209 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & 0.023845 & NaN & NaN & NaN \\ +204 & 1849 & 766 & 2 & 280219 & 0.021673 & NaN & NaN & NaN \\ +205 & 1849 & 767 & 2 & 280219 & 0.022360 & NaN & NaN & NaN \\ +206 & 1849 & 768 & 2 & 280219 & 0.022947 & NaN & NaN & NaN \\ +291 & 1849 & 769 & 2 & 280219 & NaN & 0.142318 & NaN & NaN \\ +292 & 1849 & 770 & 2 & 280219 & NaN & 0.092692 & NaN & NaN \\ +442 & 1849 & 771 & 2 & 280219 & NaN & NaN & 0.040532 & NaN \\ +551 & 1849 & 773 & 2 & 280219 & NaN & NaN & NaN & 0.172074 \\ +99 & 1849 & 774 & 3 & 10319 & 0.055668 & NaN & NaN & NaN \\ +100 & 1849 & 775 & 3 & 10319 & 0.853034 & NaN & NaN & NaN \\ +101 & 1849 & 776 & 3 & 10319 & 0.247566 & NaN & NaN & NaN \\ +112 & 1849 & 780 & 3 & 60319 & 0.073755 & NaN & NaN & NaN \\ +113 & 1849 & 781 & 3 & 60319 & 0.663592 & NaN & NaN & NaN \\ +114 & 1849 & 782 & 3 & 60319 & 0.400154 & NaN & NaN & NaN \\ +115 & 1849 & 783 & 3 & 60319 & 0.193686 & 0.287234 & 0.376361 & 0.028382 \\ +339 & 1849 & 784 & 3 & 60319 & NaN & 0.061605 & NaN & NaN \\ +340 & 1849 & 785 & 3 & 60319 & NaN & 0.185417 & 0.904869 & 0.032091 \\ +183 & 1849 & 786 & 3 & 110319 & 0.592018 & NaN & NaN & NaN \\ +224 & 1849 & 787 & 3 & 110319 & NaN & 0.173290 & NaN & NaN \\ +164 & 1849 & 788 & 3 & 150319 & 0.375846 & NaN & NaN & NaN \\ +165 & 1849 & 789 & 3 & 150319 & 0.461232 & NaN & NaN & NaN \\ +281 & 1849 & 790 & 3 & 150319 & NaN & 0.257751 & NaN & NaN \\ +282 & 1849 & 791 & 3 & 150319 & NaN & 0.115677 & NaN & NaN \\ +463 & 1849 & 792 & 3 & 150319 & NaN & NaN & 0.596987 & NaN \\ +610 & 1849 & 793 & 3 & 150319 & NaN & NaN & NaN & 0.261067 \\ +22 & 1849 & 794 & 3 & 220319 & 0.961344 & NaN & NaN & NaN \\ +23 & 1849 & 795 & 3 & 220319 & 0.476248 & NaN & NaN & NaN \\ +24 & 1849 & 796 & 3 & 220319 & 0.624353 & NaN & NaN & NaN \\ +25 & 1849 & 797 & 3 & 220319 & 0.095566 & NaN & NaN & NaN \\ +251 & 1849 & 798 & 3 & 220319 & NaN & 0.064755 & NaN & NaN \\ +252 & 1849 & 799 & 3 & 220319 & NaN & 0.027088 & NaN & NaN \\ +497 & 1849 & 800 & 3 & 220319 & NaN & NaN & 0.018306 & NaN \\ +498 & 1849 & 801 & 3 & 220319 & NaN & NaN & 1.040761 & NaN \\ +499 & 1849 & 802 & 3 & 220319 & NaN & NaN & 0.148762 & NaN \\ +649 & 1849 & 803 & 3 & 220319 & NaN & NaN & NaN & 0.054367 \\ +650 & 1849 & 804 & 3 & 220319 & NaN & NaN & NaN & 0.118636 \\ +651 & 1849 & 805 & 3 & 220319 & NaN & NaN & NaN & 0.052521 \\ +207 & 1849 & 806 & 3 & 280219 & 0.024207 & NaN & NaN & NaN \\ +208 & 1849 & 807 & 3 & 280219 & 0.025839 & NaN & NaN & NaN \\ +209 & 1849 & 808 & 3 & 280219 & 0.019334 & NaN & NaN & NaN \\ +293 & 1849 & 810 & 3 & 280219 & NaN & 0.132306 & NaN & NaN \\ +294 & 1849 & 811 & 3 & 280219 & NaN & 0.267512 & NaN & NaN \\ +295 & 1849 & 812 & 3 & 280219 & NaN & 0.077760 & NaN & NaN \\ +296 & 1849 & 813 & 3 & 280219 & NaN & 0.023532 & NaN & 0.035084 \\ +443 & 1849 & 814 & 3 & 280219 & NaN & NaN & 0.217528 & NaN \\ +444 & 1849 & 815 & 3 & 280219 & NaN & NaN & 0.316662 & NaN \\ +552 & 1849 & 816 & 3 & 280219 & NaN & NaN & NaN & 0.043689 \\ +553 & 1849 & 817 & 3 & 280219 & NaN & NaN & NaN & 0.044446 \\ +554 & 1849 & 818 & 3 & 280219 & NaN & NaN & NaN & 0.034849 \\ +116 & 1849 & 820 & 4 & 60319 & 0.966524 & NaN & NaN & NaN \\ +341 & 1849 & 822 & 4 & 60319 & NaN & 0.536338 & NaN & NaN \\ +599 & 1849 & 824 & 4 & 60319 & NaN & NaN & NaN & 0.057506 \\ +225 & 1849 & 825 & 4 & 110319 & NaN & 0.323076 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & 0.465198 & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & 0.110880 & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 0.168717 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & 0.049998 & NaN \\ +26 & 1849 & 837 & 4 & 220319 & 0.057143 & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & 0.102149 & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & 0.408342 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 0.085745 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 0.047293 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 0.831984 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 0.135260 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 0.146461 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 0.923587 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 0.862286 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 0.215039 & 1.291388 & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 0.051027 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 0.234634 \\ +184 & 1849 & 857 & 5 & 110319 & 1.276787 & NaN & NaN & NaN \\ +185 & 1849 & 858 & 5 & 110319 & 1.024066 & NaN & NaN & NaN \\ +186 & 1849 & 859 & 5 & 110319 & 0.536777 & NaN & NaN & NaN \\ +226 & 1849 & 860 & 5 & 110319 & NaN & 0.355417 & NaN & NaN \\ +227 & 1849 & 861 & 5 & 110319 & NaN & 0.241298 & NaN & NaN \\ +168 & 1849 & 863 & 5 & 150319 & 1.146555 & NaN & NaN & NaN \\ +169 & 1849 & 864 & 5 & 150319 & 0.141563 & NaN & NaN & NaN \\ +170 & 1849 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\\ +501 & 1849 & 881 & 5 & 220319 & NaN & NaN & 0.961829 & NaN \\ +502 & 1849 & 882 & 5 & 220319 & NaN & NaN & 0.384219 & NaN \\ +652 & 1849 & 883 & 5 & 220319 & NaN & NaN & NaN & 0.060471 \\ +653 & 1849 & 884 & 5 & 220319 & NaN & NaN & NaN & 0.130518 \\ +654 & 1849 & 885 & 5 & 220319 & NaN & NaN & NaN & 0.071697 \\ +655 & 1849 & 886 & 5 & 220319 & NaN & NaN & NaN & 0.068268 \\ +210 & 1849 & 887 & 5 & 280219 & 0.024615 & NaN & NaN & NaN \\ +298 & 1849 & 888 & 5 & 280219 & NaN & 0.516737 & NaN & NaN \\ +446 & 1849 & 889 & 5 & 280219 & NaN & NaN & 1.124986 & NaN \\ +104 & 1849 & 892 & 6 & 10319 & 0.873390 & NaN & NaN & NaN \\ +105 & 1849 & 894 & 6 & 10319 & 1.197488 & NaN & NaN & NaN \\ +119 & 1849 & 900 & 6 & 60319 & 0.298106 & NaN & NaN & NaN \\ +601 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 0.029028 \\ +602 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 0.060503 \\ +211 & 1849 & 903 & 6 & 280219 & 0.022202 & NaN & NaN & NaN \\ +212 & 1849 & 904 & 6 & 280219 & 0.023984 & NaN & NaN & NaN \\ +213 & 1849 & 905 & 6 & 280219 & 0.025463 & NaN & NaN & NaN \\ +214 & 1849 & 906 & 6 & 280219 & 0.027430 & NaN & NaN & NaN \\ +299 & 1849 & 909 & 6 & 280219 & NaN & 0.383292 & NaN & NaN \\ +300 & 1849 & 910 & 6 & 280219 & NaN & 0.379451 & NaN & NaN \\ +447 & 1849 & 912 & 6 & 280219 & NaN & NaN & 0.061076 & NaN \\ +448 & 1849 & 913 & 6 & 280219 & NaN & NaN & 0.477173 & NaN \\ +449 & 1849 & 914 & 6 & 280219 & NaN & NaN & 0.204847 & NaN \\ +450 & 1849 & 915 & 6 & 280219 & NaN & NaN & 0.553811 & NaN \\ +555 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 0.207150 \\ +556 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.141981 \\ +106 & 1849 & 918 & 7 & 10319 & 1.122737 & NaN & NaN & NaN \\ +120 & 1849 & 922 & 7 & 60319 & 1.557729 & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & 0.981533 & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 0.161700 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.222574 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.093194 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & 0.615661 & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.044077 \\ +172 & 1849 & 930 & 7 & 150319 & 0.525515 & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & 0.030370 & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & 0.029907 & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 0.046368 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 0.124633 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 0.261305 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & 0.666055 & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.190965 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_freq.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_freq.csv new file mode 100644 index 000000000..abcc8a34d --- /dev/null +++ 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--- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_freq.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 7.690430 & NaN & 7.690430 & 8.666992 \\ +0 & 1833 & 1 & 0 & 260619 & 7.446289 & NaN & 7.690430 & 6.591797 \\ +6 & 1833 & 2 & 0 & 10719 & 7.568359 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 7.324219 & 8.422852 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 7.324219 & 8.056641 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 7.446289 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 6.835938 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 7.934570 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 7.690430 & 6.225586 & 7.934570 & 7.568359 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 7.080078 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 7.812500 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 7.690430 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 8.178711 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 8.911133 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 8.178711 \\ +92 & 1833 & 21 & 0 & 120619 & 7.446289 & 8.666992 & 7.812500 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 8.789062 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 8.911133 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 7.568359 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 7.446289 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 8.178711 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 7.324219 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 7.690430 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 7.568359 & NaN & 7.934570 & 7.324219 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 7.690430 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 7.812500 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 8.422852 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 7.934570 \\ +93 & 1833 & 72 & 1 & 120619 & 7.690430 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 7.690430 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 8.178711 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 7.690430 & 8.666992 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 8.422852 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 7.690430 & 8.911133 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 8.300781 \\ +51 & 1833 & 87 & 1 & 290519 & 7.568359 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 8.666992 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 6.347656 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 7.690430 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 8.300781 \\ +190 & 1833 & 96 & 2 & 20719 & 7.934570 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 8.422852 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 7.080078 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 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7.934570 & NaN & 7.812500 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 7.690430 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 8.056641 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 9.521484 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 9.765625 \\ +196 & 1833 & 145 & 3 & 200619 & 7.934570 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 9.521484 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 7.568359 & 7.446289 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 8.178711 \\ +52 & 1833 & 156 & 3 & 290519 & 7.568359 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 6.347656 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 7.080078 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 9.765625 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 7.690430 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 9.155273 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 6.958008 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 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& 120619 & NaN & NaN & NaN & 9.521484 \\ +66 & 1839 & 584 & 3 & 200619 & 9.521484 & NaN & NaN & NaN \\ +391 & 1839 & 585 & 3 & 200619 & NaN & 7.080078 & NaN & NaN \\ +156 & 1839 & 586 & 4 & 60619 & 7.812500 & NaN & NaN & NaN \\ +217 & 1839 & 587 & 4 & 60619 & NaN & 8.178711 & NaN & NaN \\ +459 & 1839 & 588 & 4 & 60619 & NaN & NaN & 8.300781 & NaN \\ +635 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 8.911133 \\ +386 & 1839 & 590 & 4 & 120619 & NaN & 8.056641 & NaN & NaN \\ +518 & 1839 & 591 & 4 & 120619 & NaN & NaN & 8.422852 & NaN \\ +519 & 1839 & 592 & 4 & 120619 & NaN & NaN & 8.544922 & NaN \\ +533 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 8.666992 \\ +534 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 8.544922 \\ +535 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 6.469727 \\ +536 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 8.422852 \\ +67 & 1839 & 597 & 4 & 200619 & 8.178711 & NaN & NaN & NaN \\ +392 & 1839 & 598 & 4 & 200619 & NaN & 8.056641 & NaN & NaN \\ +393 & 1839 & 599 & 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& NaN & NaN \\ +289 & 1849 & 739 & 1 & 280219 & NaN & 7.202148 & NaN & 8.422852 \\ +290 & 1849 & 740 & 1 & 280219 & NaN & 7.324219 & NaN & NaN \\ +440 & 1849 & 741 & 1 & 280219 & NaN & NaN & 7.934570 & NaN \\ +441 & 1849 & 742 & 1 & 280219 & NaN & NaN & 7.934570 & NaN \\ +549 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 6.958008 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 7.446289 \\ +96 & 1849 & 745 & 2 & 10319 & 7.812500 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 6.347656 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 7.812500 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 8.056641 & 9.399414 & 7.934570 & 8.789062 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 6.958008 & NaN & 6.835938 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 6.713867 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 9.277344 \\ +181 & 1849 & 756 & 2 & 110319 & 8.178711 & 7.812500 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 6.347656 & 7.202148 & NaN & NaN \\ +163 & 1849 & 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& 4 & 220319 & 7.934570 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 9.033203 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 7.202148 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 7.934570 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 7.568359 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 7.934570 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 7.690430 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 7.568359 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 6.713867 & 8.056641 & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 6.835938 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 7.446289 \\ +184 & 1849 & 857 & 5 & 110319 & 7.446289 & NaN & NaN & NaN \\ +185 & 1849 & 858 & 5 & 110319 & 7.568359 & NaN & NaN & NaN \\ +186 & 1849 & 859 & 5 & 110319 & 7.446289 & NaN & NaN & NaN \\ +226 & 1849 & 860 & 5 & 110319 & NaN & 6.713867 & NaN & NaN \\ +227 & 1849 & 861 & 5 & 110319 & NaN & 7.202148 & NaN & NaN \\ +168 & 1849 & 863 & 5 & 150319 & 7.690430 & NaN & NaN & NaN \\ +169 & 1849 & 864 & 5 & 150319 & 8.666992 & NaN & NaN & NaN \\ +170 & 1849 & 865 & 5 & 150319 & 7.690430 & NaN & NaN & NaN \\ +171 & 1849 & 866 & 5 & 150319 & 7.690430 & NaN & NaN & NaN \\ +284 & 1849 & 867 & 5 & 150319 & NaN & 6.469727 & NaN & NaN \\ +285 & 1849 & 868 & 5 & 150319 & NaN & 7.080078 & 7.812500 & 8.544922 \\ +286 & 1849 & 869 & 5 & 150319 & NaN & 6.347656 & NaN & NaN \\ +287 & 1849 & 870 & 5 & 150319 & NaN & 7.324219 & NaN & NaN \\ +465 & 1849 & 871 & 5 & 150319 & NaN & NaN & 6.958008 & NaN \\ +466 & 1849 & 872 & 5 & 150319 & NaN & NaN & 7.690430 & NaN \\ +611 & 1849 & 873 & 5 & 150319 & NaN & NaN & NaN & 8.422852 \\ +29 & 1849 & 874 & 5 & 220319 & 7.934570 & NaN & NaN & NaN \\ +30 & 1849 & 875 & 5 & 220319 & 7.934570 & NaN & NaN & NaN \\ +31 & 1849 & 876 & 5 & 220319 & 7.934570 & NaN & NaN & NaN \\ +254 & 1849 & 877 & 5 & 220319 & NaN & 7.568359 & NaN & NaN \\ +255 & 1849 & 878 & 5 & 220319 & NaN & 6.835938 & NaN & NaN 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+120,1849,922,7,60319,1.7139623356504812,,, +121,1849,923,7,60319,1.558964714210167,,, +344,1849,924,7,60319,,0.9297617311481794,, +345,1849,925,7,60319,,0.5598936052909593,, +346,1849,926,7,60319,,0.4341193517790929,, +424,1849,928,7,60319,,,1.2861601198648565, +603,1849,929,7,60319,,,,0.4436246081688529 +172,1849,930,7,150319,0.7749907347855913,,, +215,1849,931,7,280219,0.33012922426332203,,, +216,1849,933,7,280219,0.5221002643423933,,, +301,1849,934,7,280219,,0.2711529639478609,, +302,1849,935,7,280219,,0.213893200766802,, +303,1849,936,7,280219,,2.252070680325964,, +451,1849,938,7,280219,,,0.7259704604889645, +558,1849,940,7,280219,,,,0.8488455222179798 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_half_width.tex new file mode 100644 index 000000000..422fd9fb6 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_half_width.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 0.859134 & NaN & 1.173783 & 0.254892 \\ +0 & 1833 & 1 & 0 & 260619 & 1.031715 & NaN & 1.176281 & 0.252809 \\ +6 & 1833 & 2 & 0 & 10719 & 0.926454 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 0.702559 & 0.295541 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 0.806014 & 0.606528 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.211555 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.266998 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 0.631678 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 0.606195 & 0.286439 & 0.892371 & 0.169210 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.231158 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.347999 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.497785 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.273432 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.308946 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 1.535723 \\ +92 & 1833 & 21 & 0 & 120619 & 0.794371 & 0.357368 & 0.588878 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.140540 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.283940 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.204749 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.594727 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.136399 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 0.932136 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.263672 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 0.886724 & NaN & 0.954036 & 0.316662 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.182948 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 1.003491 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.555259 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.663272 \\ +93 & 1833 & 72 & 1 & 120619 & 1.317310 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 1.091164 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 0.346653 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 1.173211 & 0.441841 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 2.086959 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 1.193324 & 0.231070 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.292224 \\ +51 & 1833 & 87 & 1 & 290519 & 0.429920 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.566203 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.150487 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 1.339811 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 1.074020 \\ +190 & 1833 & 96 & 2 & 20719 & 1.010655 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.230420 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.725663 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.434317 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.480300 & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.388342 \\ +94 & 1833 & 109 & 2 & 120619 & 1.519585 & NaN & 2.412617 & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.420456 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.748146 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.280559 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.622937 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & 0.807992 & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.267486 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.139887 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.146272 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.230892 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.208545 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & 0.724816 & NaN & 1.038640 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.384886 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.130609 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.238085 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.138411 \\ +196 & 1833 & 145 & 3 & 200619 & 1.064754 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.175602 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.356650 & 0.189459 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.386558 \\ +52 & 1833 & 156 & 3 & 290519 & 0.417108 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 0.275460 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 0.230835 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 0.892233 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.903263 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.368379 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 0.158501 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.523355 & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.260317 & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 0.158389 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 2.861863 \\ +53 & 1833 & 178 & 4 & 290519 & 0.386240 & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & 1.140248 & NaN \\ +11 & 1833 & 187 & 5 & 10719 & 0.240534 & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 0.395138 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & 1.186881 & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 0.446267 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 0.153495 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & 1.066453 & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.265984 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 1.525696 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.261018 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.233349 & NaN \\ +54 & 1833 & 212 & 5 & 290519 & 0.848494 & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & 0.580043 & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & 1.200268 & 0.689003 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & 1.272705 & NaN \\ +12 & 1833 & 219 & 6 & 10719 & 0.894125 & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & 0.256597 & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & 0.598195 & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & 0.221767 & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 0.733500 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & 1.638213 & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 0.178497 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.400873 & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & 1.459419 & 0.955538 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.196276 \\ +32 & 1833 & 230 & 6 & 50619 & 0.271284 & 0.129769 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & 0.889959 & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.185750 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.803824 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 1.093321 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.164135 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.336817 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.242299 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & 0.943553 & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.382292 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.169521 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & 1.024298 & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.195154 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.177334 \\ +2 & 1833 & 264 & 6 & 260619 & 0.343736 & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 0.144127 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 0.354039 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 0.167508 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN 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1839 & 654 & 6 & 290519 & NaN & 0.559548 & NaN & NaN \\ +275 & 1839 & 657 & 7 & 290519 & NaN & 0.299125 & NaN & NaN \\ +400 & 1839 & 662 & 7 & 200619 & NaN & 0.152729 & NaN & NaN \\ +401 & 1839 & 663 & 7 & 200619 & NaN & 0.424309 & NaN & NaN \\ +402 & 1839 & 664 & 7 & 200619 & NaN & 0.521514 & NaN & NaN \\ +49 & 1839 & 665 & 7 & 290519 & 1.538318 & NaN & NaN & NaN \\ +50 & 1839 & 668 & 7 & 290519 & 0.961134 & NaN & NaN & NaN \\ +276 & 1839 & 669 & 7 & 290519 & NaN & 0.397362 & NaN & NaN \\ +277 & 1839 & 670 & 7 & 290519 & NaN & 0.483325 & NaN & NaN \\ +278 & 1839 & 672 & 7 & 290519 & NaN & 0.269721 & NaN & NaN \\ +107 & 1849 & 674 & 0 & 60319 & 0.141981 & NaN & NaN & NaN \\ +173 & 1849 & 675 & 0 & 110319 & 1.296904 & NaN & NaN & NaN \\ +220 & 1849 & 676 & 0 & 110319 & NaN & 0.373300 & NaN & NaN \\ +157 & 1849 & 677 & 0 & 150319 & 0.741833 & 0.348442 & 0.836889 & 0.176737 \\ +158 & 1849 & 678 & 0 & 150319 & 1.036582 & NaN & NaN & NaN \\ +279 & 1849 & 679 & 0 & 150319 & NaN & 0.234144 & NaN & NaN \\ +461 & 1849 & 680 & 0 & 150319 & NaN & NaN & 1.005270 & NaN \\ +604 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 0.332103 \\ +605 & 1849 & 682 & 0 & 150319 & NaN & NaN & NaN & 0.133358 \\ +19 & 1849 & 683 & 0 & 220319 & 0.984545 & NaN & 0.846697 & 0.173923 \\ +197 & 1849 & 685 & 0 & 280219 & 0.360515 & NaN & NaN & NaN \\ +288 & 1849 & 686 & 0 & 280219 & NaN & 1.354166 & NaN & NaN \\ +438 & 1849 & 687 & 0 & 280219 & NaN & NaN & 1.224513 & NaN \\ +439 & 1849 & 688 & 0 & 280219 & NaN & NaN & 0.887373 & NaN \\ +546 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 0.274394 \\ +547 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 0.198974 \\ +95 & 1849 & 691 & 1 & 10319 & 1.004472 & NaN & NaN & NaN \\ +108 & 1849 & 699 & 1 & 60319 & 0.179026 & NaN & NaN & NaN \\ +109 & 1849 & 700 & 1 & 60319 & 0.160982 & NaN & NaN & NaN \\ +110 & 1849 & 701 & 1 & 60319 & 0.254493 & NaN & NaN & NaN \\ +111 & 1849 & 702 & 1 & 60319 & 1.234649 & NaN & NaN & NaN \\ +419 & 1849 & 703 & 1 & 60319 & NaN & NaN & 0.266396 & NaN \\ +420 & 1849 & 705 & 1 & 60319 & NaN & NaN & 0.171262 & NaN \\ +421 & 1849 & 706 & 1 & 60319 & NaN & NaN & 1.183819 & NaN \\ +422 & 1849 & 707 & 1 & 60319 & NaN & NaN & 1.111653 & NaN \\ +597 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.525720 \\ +174 & 1849 & 709 & 1 & 110319 & 0.514176 & NaN & NaN & NaN \\ +175 & 1849 & 710 & 1 & 110319 & 0.746264 & NaN & NaN & NaN \\ +176 & 1849 & 711 & 1 & 110319 & 0.558826 & NaN & NaN & NaN \\ +177 & 1849 & 712 & 1 & 110319 & 0.241436 & NaN & NaN & NaN \\ +178 & 1849 & 713 & 1 & 110319 & 0.464695 & NaN & NaN & NaN \\ +179 & 1849 & 714 & 1 & 110319 & 1.013985 & 0.437387 & NaN & NaN \\ +221 & 1849 & 716 & 1 & 110319 & NaN & 0.741767 & NaN & NaN \\ +222 & 1849 & 717 & 1 & 110319 & NaN & 0.251033 & NaN & NaN \\ +223 & 1849 & 718 & 1 & 110319 & NaN & 0.317368 & NaN & NaN \\ +159 & 1849 & 720 & 1 & 150319 & 0.838840 & 0.738073 & 0.730347 & NaN \\ +160 & 1849 & 721 & 1 & 150319 & 0.739458 & 0.179257 & 0.666311 & NaN \\ +161 & 1849 & 722 & 1 & 150319 & 0.699063 & 0.810279 & 0.721992 & NaN \\ +462 & 1849 & 723 & 1 & 150319 & NaN & NaN & 0.534994 & NaN \\ +606 & 1849 & 724 & 1 & 150319 & NaN & NaN & NaN & 0.261890 \\ +607 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 0.138417 \\ +608 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 727 & 1 & 220319 & 1.037699 & NaN & NaN & NaN \\ +248 & 1849 & 728 & 1 & 220319 & NaN & 0.163058 & NaN & NaN \\ +249 & 1849 & 729 & 1 & 220319 & NaN & 0.192736 & NaN & NaN \\ +494 & 1849 & 731 & 1 & 220319 & NaN & NaN & 0.750279 & NaN \\ +495 & 1849 & 732 & 1 & 220319 & NaN & NaN & 0.835207 & NaN \\ +496 & 1849 & 733 & 1 & 220319 & NaN & NaN & 0.545944 & NaN \\ +198 & 1849 & 734 & 1 & 280219 & 0.373098 & NaN & NaN & NaN \\ +199 & 1849 & 735 & 1 & 280219 & 0.168094 & NaN & NaN & NaN \\ +200 & 1849 & 736 & 1 & 280219 & 0.317821 & NaN & NaN & NaN \\ +201 & 1849 & 737 & 1 & 280219 & 0.149519 & NaN & NaN & NaN \\ +202 & 1849 & 738 & 1 & 280219 & 0.138001 & NaN & NaN & NaN \\ +289 & 1849 & 739 & 1 & 280219 & NaN & 0.520749 & NaN & 0.198346 \\ +290 & 1849 & 740 & 1 & 280219 & NaN & 0.202949 & NaN & NaN \\ +440 & 1849 & 741 & 1 & 280219 & NaN & NaN & 1.087317 & NaN \\ +441 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.762163 & NaN \\ +549 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.304499 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.289934 \\ +96 & 1849 & 745 & 2 & 10319 & 0.708723 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 0.241175 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 1.005312 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 1.044918 & 0.232600 & 0.950928 & 0.234968 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 0.327030 & NaN & 0.314531 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.281593 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.290324 \\ +181 & 1849 & 756 & 2 & 110319 & 0.200431 & 0.395122 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 0.327073 & 0.282337 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & 0.708945 & 0.397372 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 0.252788 & 0.374259 & 0.210548 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 0.372866 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 0.190632 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & 0.407266 & NaN & NaN & NaN \\ +204 & 1849 & 766 & 2 & 280219 & 0.656480 & NaN & NaN & NaN \\ +205 & 1849 & 767 & 2 & 280219 & 0.446786 & NaN & NaN & NaN \\ +206 & 1849 & 768 & 2 & 280219 & 0.701138 & NaN & NaN & NaN \\ +291 & 1849 & 769 & 2 & 280219 & NaN & 0.392023 & NaN & NaN \\ +292 & 1849 & 770 & 2 & 280219 & NaN & 0.501401 & NaN & NaN \\ +442 & 1849 & 771 & 2 & 280219 & NaN & NaN & 0.202224 & NaN \\ +551 & 1849 & 773 & 2 & 280219 & NaN & NaN & NaN & 0.811178 \\ +99 & 1849 & 774 & 3 & 10319 & 0.296883 & NaN & NaN & NaN \\ +100 & 1849 & 775 & 3 & 10319 & 0.984676 & NaN & NaN & NaN \\ +101 & 1849 & 776 & 3 & 10319 & 0.815722 & NaN & NaN & NaN \\ +112 & 1849 & 780 & 3 & 60319 & 0.650001 & NaN & NaN & NaN \\ +113 & 1849 & 781 & 3 & 60319 & 0.937449 & NaN & NaN & NaN \\ +114 & 1849 & 782 & 3 & 60319 & 0.823497 & NaN & NaN & NaN \\ +115 & 1849 & 783 & 3 & 60319 & 0.954210 & 0.947188 & 0.839522 & 0.511299 \\ +339 & 1849 & 784 & 3 & 60319 & NaN & 0.205497 & NaN & NaN \\ +340 & 1849 & 785 & 3 & 60319 & NaN & 0.549308 & 1.321936 & 0.134696 \\ +183 & 1849 & 786 & 3 & 110319 & 0.967167 & NaN & NaN & NaN \\ +224 & 1849 & 787 & 3 & 110319 & NaN & 1.022259 & NaN & NaN \\ +164 & 1849 & 788 & 3 & 150319 & 0.779116 & NaN & NaN & NaN \\ +165 & 1849 & 789 & 3 & 150319 & 0.701861 & NaN & NaN & NaN \\ +281 & 1849 & 790 & 3 & 150319 & NaN & 0.354371 & NaN & NaN \\ +282 & 1849 & 791 & 3 & 150319 & NaN & 0.498604 & NaN & NaN \\ +463 & 1849 & 792 & 3 & 150319 & NaN & NaN & 1.059593 & NaN \\ +610 & 1849 & 793 & 3 & 150319 & NaN & NaN & NaN & 0.191098 \\ +22 & 1849 & 794 & 3 & 220319 & 1.657235 & NaN & NaN & NaN \\ +23 & 1849 & 795 & 3 & 220319 & 0.785547 & NaN & NaN & NaN \\ +24 & 1849 & 796 & 3 & 220319 & 0.960677 & NaN & NaN & NaN \\ +25 & 1849 & 797 & 3 & 220319 & 0.401955 & NaN & NaN & NaN \\ +251 & 1849 & 798 & 3 & 220319 & NaN & 0.980267 & NaN & NaN \\ +252 & 1849 & 799 & 3 & 220319 & NaN & 0.279871 & NaN & NaN \\ +497 & 1849 & 800 & 3 & 220319 & NaN & NaN & 0.147603 & NaN \\ +498 & 1849 & 801 & 3 & 220319 & NaN & NaN & 1.046317 & NaN \\ +499 & 1849 & 802 & 3 & 220319 & NaN & NaN & 0.624487 & NaN \\ +649 & 1849 & 803 & 3 & 220319 & NaN & NaN & NaN & 0.238778 \\ +650 & 1849 & 804 & 3 & 220319 & NaN & NaN & NaN & 0.328411 \\ +651 & 1849 & 805 & 3 & 220319 & NaN & NaN & NaN & 0.289162 \\ +207 & 1849 & 806 & 3 & 280219 & 0.267952 & NaN & NaN & NaN \\ +208 & 1849 & 807 & 3 & 280219 & 0.377100 & NaN & NaN & NaN \\ +209 & 1849 & 808 & 3 & 280219 & 0.381343 & NaN & NaN & NaN \\ +293 & 1849 & 810 & 3 & 280219 & NaN & 0.648451 & NaN & NaN \\ +294 & 1849 & 811 & 3 & 280219 & NaN & 0.405623 & NaN & NaN \\ +295 & 1849 & 812 & 3 & 280219 & NaN & 0.649206 & NaN & NaN \\ +296 & 1849 & 813 & 3 & 280219 & NaN & 0.269709 & NaN & 0.207535 \\ +443 & 1849 & 814 & 3 & 280219 & NaN & NaN & 0.417326 & NaN \\ +444 & 1849 & 815 & 3 & 280219 & NaN & NaN & 0.522107 & NaN \\ +552 & 1849 & 816 & 3 & 280219 & NaN & NaN & NaN & 0.170103 \\ +553 & 1849 & 817 & 3 & 280219 & NaN & NaN & NaN & 0.487924 \\ +554 & 1849 & 818 & 3 & 280219 & NaN & NaN & NaN & 0.312537 \\ +116 & 1849 & 820 & 4 & 60319 & 1.178470 & NaN & NaN & NaN \\ +341 & 1849 & 822 & 4 & 60319 & NaN & 2.186021 & NaN & NaN \\ +599 & 1849 & 824 & 4 & 60319 & NaN & NaN & NaN & 0.442233 \\ +225 & 1849 & 825 & 4 & 110319 & NaN & 0.376122 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & 0.694685 & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & 0.229228 & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 0.859066 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & 0.244266 & NaN \\ +26 & 1849 & 837 & 4 & 220319 & 1.153552 & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & 0.628100 & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & 1.107833 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 0.162558 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 0.278305 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 1.100044 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 0.886687 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 0.737131 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 1.434685 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 1.041116 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 0.523973 & 1.503035 & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 0.262324 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 1.307136 \\ +184 & 1849 & 857 & 5 & 110319 & 1.544826 & NaN & NaN & NaN \\ +185 & 1849 & 858 & 5 & 110319 & 1.214315 & NaN & NaN & NaN \\ +186 & 1849 & 859 & 5 & 110319 & 0.939633 & NaN & NaN & NaN \\ +226 & 1849 & 860 & 5 & 110319 & NaN & 0.931269 & NaN & NaN \\ +227 & 1849 & 861 & 5 & 110319 & NaN & 0.746831 & NaN & NaN \\ +168 & 1849 & 863 & 5 & 150319 & 1.291263 & NaN & NaN & NaN \\ +169 & 1849 & 864 & 5 & 150319 & 0.907966 & NaN & NaN & NaN \\ +170 & 1849 & 865 & 5 & 150319 & 1.042671 & NaN & NaN & NaN \\ +171 & 1849 & 866 & 5 & 150319 & 1.255437 & NaN & NaN & NaN \\ +284 & 1849 & 867 & 5 & 150319 & NaN & 0.327522 & NaN & NaN \\ +285 & 1849 & 868 & 5 & 150319 & NaN & 0.470752 & 0.811626 & 0.355455 \\ +286 & 1849 & 869 & 5 & 150319 & NaN & 1.627608 & NaN & NaN \\ +287 & 1849 & 870 & 5 & 150319 & NaN & 0.699618 & NaN & NaN \\ +465 & 1849 & 871 & 5 & 150319 & NaN & NaN & 1.702770 & NaN \\ +466 & 1849 & 872 & 5 & 150319 & NaN & NaN & 1.744096 & NaN \\ +611 & 1849 & 873 & 5 & 150319 & NaN & NaN & NaN & 0.499410 \\ +29 & 1849 & 874 & 5 & 220319 & 1.158823 & NaN & NaN & NaN \\ +30 & 1849 & 875 & 5 & 220319 & 0.950367 & NaN & NaN & NaN \\ +31 & 1849 & 876 & 5 & 220319 & 1.347864 & NaN & NaN & NaN \\ +254 & 1849 & 877 & 5 & 220319 & NaN & 0.526775 & NaN & NaN \\ +255 & 1849 & 878 & 5 & 220319 & NaN & 1.052692 & NaN & NaN \\ +256 & 1849 & 879 & 5 & 220319 & NaN & 1.463831 & NaN & NaN \\ +500 & 1849 & 880 & 5 & 220319 & NaN & NaN & 1.758983 & NaN \\ +501 & 1849 & 881 & 5 & 220319 & NaN & NaN & 1.572416 & NaN \\ +502 & 1849 & 882 & 5 & 220319 & NaN & NaN & 0.918068 & NaN \\ +652 & 1849 & 883 & 5 & 220319 & NaN & NaN & NaN & 0.909794 \\ +653 & 1849 & 884 & 5 & 220319 & NaN & NaN & NaN & 0.726504 \\ +654 & 1849 & 885 & 5 & 220319 & NaN & NaN & NaN & 0.387322 \\ +655 & 1849 & 886 & 5 & 220319 & NaN & NaN & NaN & 0.190037 \\ +210 & 1849 & 887 & 5 & 280219 & 0.714016 & NaN & NaN & NaN \\ +298 & 1849 & 888 & 5 & 280219 & NaN & 5.152169 & NaN & NaN \\ +446 & 1849 & 889 & 5 & 280219 & NaN & NaN & 1.312783 & NaN \\ +104 & 1849 & 892 & 6 & 10319 & 1.062324 & NaN & NaN & NaN \\ +105 & 1849 & 894 & 6 & 10319 & 1.221635 & NaN & NaN & NaN \\ +119 & 1849 & 900 & 6 & 60319 & 1.340368 & NaN & NaN & NaN \\ +601 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 0.181796 \\ +602 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 0.214402 \\ +211 & 1849 & 903 & 6 & 280219 & 0.227950 & NaN & NaN & NaN \\ +212 & 1849 & 904 & 6 & 280219 & 0.284712 & NaN & NaN & NaN \\ +213 & 1849 & 905 & 6 & 280219 & 0.264459 & NaN & NaN & NaN \\ +214 & 1849 & 906 & 6 & 280219 & 0.293643 & NaN & NaN & NaN \\ +299 & 1849 & 909 & 6 & 280219 & NaN & 2.139699 & NaN & NaN \\ +300 & 1849 & 910 & 6 & 280219 & NaN & 1.636534 & NaN & NaN \\ +447 & 1849 & 912 & 6 & 280219 & NaN & NaN & 0.254197 & NaN \\ +448 & 1849 & 913 & 6 & 280219 & NaN & NaN & 1.157536 & NaN \\ +449 & 1849 & 914 & 6 & 280219 & NaN & NaN & 0.848388 & NaN \\ +450 & 1849 & 915 & 6 & 280219 & NaN & NaN & 1.377340 & NaN \\ +555 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 0.468831 \\ +556 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.372427 \\ +106 & 1849 & 918 & 7 & 10319 & 1.304357 & NaN & NaN & NaN \\ +120 & 1849 & 922 & 7 & 60319 & 1.713962 & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & 1.558965 & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 0.929762 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.559894 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.434119 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & 1.286160 & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.443625 \\ +172 & 1849 & 930 & 7 & 150319 & 0.774991 & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & 0.330129 & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & 0.522100 & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 0.271153 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 0.213893 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 2.252071 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & 0.725970 & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.848846 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_peak.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_peak.csv new file mode 100644 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+299,1849,909,6,280219,,0.18833100006887452,, +300,1849,910,6,280219,,0.19123442367571847,, +447,1849,912,6,280219,,,0.06839832602769573, +448,1849,913,6,280219,,,0.3273637901283186, +449,1849,914,6,280219,,,0.18005433971894544, +450,1849,915,6,280219,,,0.3751456257032723, +555,1849,916,6,280219,,,,0.1375749604174399 +556,1849,917,6,280219,,,,0.12105223105733835 +106,1849,918,7,10319,0.7410168801981227,,, +120,1849,922,7,60319,0.8031657663217349,,, +121,1849,923,7,60319,0.5762342889757556,,, +344,1849,924,7,60319,,0.11063777599376652,, +345,1849,925,7,60319,,0.13468695407259168,, +346,1849,926,7,60319,,0.07067659297445415,, +424,1849,928,7,60319,,,0.3875504149670645, +603,1849,929,7,60319,,,,0.049413156935960316 +172,1849,930,7,150319,0.4650434259836026,,, +215,1849,931,7,280219,0.045625243878173856,,, +216,1849,933,7,280219,0.031221562992735194,,, +301,1849,934,7,280219,,0.056048065689468934,, +302,1849,935,7,280219,,0.13382170747077754,, +303,1849,936,7,280219,,0.13119384653147176,, +451,1849,938,7,280219,,,0.5655332838264595, +558,1849,940,7,280219,,,,0.19025454139751125 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_peak.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_peak.tex new file mode 100644 index 000000000..f490c9bfe --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_peak.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 0.576678 & NaN & 0.489319 & 0.114744 \\ +0 & 1833 & 1 & 0 & 260619 & 0.253723 & NaN & 0.246554 & 0.023071 \\ +6 & 1833 & 2 & 0 & 10719 & 0.059559 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 0.309546 & 0.046280 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 0.425927 & 0.109895 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.082194 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.050907 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 0.227662 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 0.284654 & 0.054676 & 0.170836 & 0.041617 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.038730 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.081793 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.117873 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.063055 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.054993 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.248126 \\ +92 & 1833 & 21 & 0 & 120619 & 0.290028 & 0.116154 & 0.272885 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.015103 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.067336 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.034014 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.089503 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.033100 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 0.490834 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.024733 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 0.172729 & NaN & 0.520472 & 0.051475 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.038511 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 0.451932 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.069069 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.146091 \\ +93 & 1833 & 72 & 1 & 120619 & 0.717180 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 0.617471 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 0.096492 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 0.607691 & 0.089170 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 0.138465 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 0.559590 & 0.040829 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.032933 \\ +51 & 1833 & 87 & 1 & 290519 & 0.242097 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.030746 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.027037 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 0.565144 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.152989 \\ +190 & 1833 & 96 & 2 & 20719 & 0.593704 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.049910 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.076661 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.058080 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.133714 & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.060784 \\ +94 & 1833 & 109 & 2 & 120619 & 0.717205 & NaN & 0.123067 & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.105439 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.078007 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.170907 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.237039 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & 0.265707 & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.033711 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.030205 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.023911 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.016449 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.025875 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & 0.249861 & NaN & 0.307228 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.041190 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.079705 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.040083 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.027309 \\ +196 & 1833 & 145 & 3 & 200619 & 0.111743 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.037644 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.095964 & 0.015002 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.046398 \\ +52 & 1833 & 156 & 3 & 290519 & 0.163364 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 0.024235 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 0.022452 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 0.247314 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.226656 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.037856 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 0.044680 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.159257 & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.026197 & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 0.031743 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.089639 \\ +53 & 1833 & 178 & 4 & 290519 & 0.086903 & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & 0.389775 & NaN \\ +11 & 1833 & 187 & 5 & 10719 & 0.173205 & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 0.055840 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & 0.679515 & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 0.091755 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 0.037960 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & 0.174722 & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.057481 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.154544 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.117587 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.050361 & NaN \\ +54 & 1833 & 212 & 5 & 290519 & 0.350404 & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & 0.067002 & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & 0.484958 & 0.119541 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & 0.485937 & NaN \\ +12 & 1833 & 219 & 6 & 10719 & 0.253304 & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & 0.075449 & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & 0.258864 & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & 0.047712 & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 0.071910 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & 0.820644 & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 0.086674 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.183330 & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & 0.715746 & 0.158772 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.067439 \\ +32 & 1833 & 230 & 6 & 50619 & 0.057096 & 0.037338 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & 0.387880 & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.025719 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.021471 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 0.109760 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.025912 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.057088 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.030754 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & 0.134652 & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.047806 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.018507 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & 0.180893 & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.034936 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.039233 \\ +2 & 1833 & 264 & 6 & 260619 & 0.146356 & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 0.019917 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 0.037422 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 0.025517 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 0.016377 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 0.044419 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 0.019350 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 0.016979 \\ +56 & 1833 & 276 & 6 & 290519 & 0.070914 & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & 0.635972 & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & 0.024070 & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & 0.058355 & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & 0.046320 & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 0.161882 & NaN & NaN \\ +456 & 1833 & 287 & 6 & 290519 & NaN & NaN & 0.097880 & NaN \\ +457 & 1833 & 288 & 6 & 290519 & NaN & NaN & 0.062275 & NaN \\ +458 & 1833 & 289 & 6 & 290519 & NaN & NaN & 0.059783 & NaN \\ +629 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.035273 \\ +630 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.056920 \\ +631 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.018268 \\ +16 & 1833 & 293 & 7 & 10719 & 0.083281 & NaN & NaN & NaN \\ +17 & 1833 & 294 & 7 & 10719 & 0.186320 & 0.058062 & NaN & NaN \\ +18 & 1833 & 295 & 7 & 10719 & 0.038269 & NaN & NaN & NaN \\ +417 & 1833 & 296 & 7 & 10719 & NaN & 0.030301 & NaN & NaN \\ +418 & 1833 & 297 & 7 & 10719 & NaN & 0.024575 & NaN & NaN \\ +322 & 1833 & 298 & 7 & 50619 & NaN & 0.021795 & NaN & NaN \\ +647 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 0.061371 \\ +626 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 0.031433 \\ +375 & 1833 & 305 & 7 & 200619 & NaN & 0.063871 & NaN & NaN \\ +376 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +531 & 1833 & 307 & 7 & 200619 & NaN & NaN & 0.017919 & NaN \\ +3 & 1833 & 308 & 7 & 260619 & 0.078828 & NaN & NaN & NaN \\ +527 & 1833 & 309 & 7 & 260619 & NaN & NaN & 0.016470 & NaN \\ +528 & 1833 & 310 & 7 & 260619 & NaN & NaN & 0.016304 & NaN \\ +624 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 0.020093 \\ +61 & 1833 & 312 & 7 & 290519 & 0.014057 & NaN & NaN & NaN \\ +62 & 1833 & 313 & 7 & 290519 & 0.029016 & NaN & NaN & NaN \\ +63 & 1833 & 314 & 7 & 290519 & 0.030785 & NaN & NaN & NaN \\ +64 & 1833 & 315 & 7 & 290519 & 0.019295 & NaN & NaN & NaN \\ +65 & 1833 & 316 & 7 & 290519 & 0.039305 & NaN & NaN & NaN \\ +632 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.038436 \\ +633 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.013302 \\ +634 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 0.044967 \\ +80 & 1834 & 327 & 0 & 10319 & 0.602093 & NaN & NaN & NaN \\ +81 & 1834 & 328 & 0 & 10319 & 0.026092 & NaN & NaN & NaN \\ +304 & 1834 & 330 & 0 & 10319 & NaN & 0.044951 & NaN & NaN \\ +68 & 1834 & 332 & 0 & 110319 & 0.022199 & 0.139464 & NaN & NaN \\ +137 & 1834 & 333 & 0 & 60319 & 0.061113 & NaN & NaN & NaN \\ +138 & 1834 & 334 & 0 & 60319 & 0.045884 & NaN & NaN & NaN \\ +139 & 1834 & 335 & 0 & 60319 & 0.048219 & NaN & NaN & NaN \\ +140 & 1834 & 336 & 0 & 60319 & 0.062499 & NaN & NaN & NaN \\ +141 & 1834 & 337 & 0 & 60319 & 0.054127 & NaN & NaN & NaN \\ +469 & 1834 & 339 & 0 & 60319 & NaN & NaN & 0.485822 & NaN \\ +69 & 1834 & 340 & 0 & 110319 & 0.015979 & NaN & NaN & NaN \\ +347 & 1834 & 341 & 0 & 110319 & NaN & 0.141361 & NaN & NaN \\ +149 & 1834 & 343 & 0 & 120319 & 0.425983 & 0.079155 & 0.418440 & 0.069349 \\ +425 & 1834 & 344 & 0 & 150319 & NaN & NaN & 0.420541 & NaN \\ +122 & 1834 & 345 & 0 & 220319 & 0.238235 & 0.110958 & 0.420169 & 0.076709 \\ +123 & 1834 & 346 & 0 & 220319 & 0.685354 & NaN & NaN & NaN \\ +82 & 1834 & 347 & 1 & 10319 & 0.181416 & NaN & NaN & NaN \\ +305 & 1834 & 348 & 1 & 10319 & NaN & 0.020290 & NaN & NaN \\ +503 & 1834 & 349 & 1 & 10319 & NaN & NaN & 0.034083 & NaN \\ +324 & 1834 & 350 & 1 & 60319 & NaN & 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10319 & 0.619569 & NaN & NaN & NaN \\ +108 & 1849 & 699 & 1 & 60319 & 0.028468 & NaN & NaN & NaN \\ +109 & 1849 & 700 & 1 & 60319 & 0.026508 & NaN & NaN & NaN \\ +110 & 1849 & 701 & 1 & 60319 & 0.027466 & NaN & NaN & NaN \\ +111 & 1849 & 702 & 1 & 60319 & 0.675483 & NaN & NaN & NaN \\ +419 & 1849 & 703 & 1 & 60319 & NaN & NaN & 0.051964 & NaN \\ +420 & 1849 & 705 & 1 & 60319 & NaN & NaN & 0.036733 & NaN \\ +421 & 1849 & 706 & 1 & 60319 & NaN & NaN & 0.139609 & NaN \\ +422 & 1849 & 707 & 1 & 60319 & NaN & NaN & 0.480672 & NaN \\ +597 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.100833 \\ +174 & 1849 & 709 & 1 & 110319 & 0.231519 & NaN & NaN & NaN \\ +175 & 1849 & 710 & 1 & 110319 & 0.253739 & NaN & NaN & NaN \\ +176 & 1849 & 711 & 1 & 110319 & 0.320437 & NaN & NaN & NaN \\ +177 & 1849 & 712 & 1 & 110319 & 0.037821 & NaN & NaN & NaN \\ +178 & 1849 & 713 & 1 & 110319 & 0.292795 & NaN & NaN & NaN \\ +179 & 1849 & 714 & 1 & 110319 & 0.067669 & 0.081533 & NaN & NaN \\ +221 & 1849 & 716 & 1 & 110319 & NaN & 0.091870 & NaN & NaN \\ +222 & 1849 & 717 & 1 & 110319 & NaN & 0.046344 & NaN & NaN \\ +223 & 1849 & 718 & 1 & 110319 & NaN & 0.051877 & NaN & NaN \\ +159 & 1849 & 720 & 1 & 150319 & 0.531110 & 0.074574 & 0.540759 & NaN \\ +160 & 1849 & 721 & 1 & 150319 & 0.250084 & 0.055060 & 0.227938 & NaN \\ +161 & 1849 & 722 & 1 & 150319 & 0.389246 & 0.065457 & 0.362649 & NaN \\ +462 & 1849 & 723 & 1 & 150319 & NaN & NaN & 0.069223 & NaN \\ +606 & 1849 & 724 & 1 & 150319 & NaN & NaN & NaN & 0.025075 \\ +607 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 0.021029 \\ +608 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 727 & 1 & 220319 & 0.429517 & NaN & NaN & NaN \\ +248 & 1849 & 728 & 1 & 220319 & NaN & 0.041618 & NaN & NaN \\ +249 & 1849 & 729 & 1 & 220319 & NaN & 0.053741 & NaN & NaN \\ +494 & 1849 & 731 & 1 & 220319 & NaN & NaN & 0.351883 & NaN \\ +495 & 1849 & 732 & 1 & 220319 & NaN & NaN & 0.205122 & NaN \\ +496 & 1849 & 733 & 1 & 220319 & NaN & NaN & 0.168383 & NaN \\ +198 & 1849 & 734 & 1 & 280219 & 0.009268 & NaN & NaN & NaN \\ +199 & 1849 & 735 & 1 & 280219 & 0.006811 & NaN & NaN & NaN \\ +200 & 1849 & 736 & 1 & 280219 & 0.008650 & NaN & NaN & NaN \\ +201 & 1849 & 737 & 1 & 280219 & 0.010194 & NaN & NaN & NaN \\ +202 & 1849 & 738 & 1 & 280219 & 0.010288 & NaN & NaN & NaN \\ +289 & 1849 & 739 & 1 & 280219 & NaN & 0.070291 & NaN & 0.039592 \\ +290 & 1849 & 740 & 1 & 280219 & NaN & 0.189035 & NaN & NaN \\ +440 & 1849 & 741 & 1 & 280219 & NaN & NaN & 0.352352 & NaN \\ +441 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.325032 & NaN \\ +549 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.051888 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.042638 \\ +96 & 1849 & 745 & 2 & 10319 & 0.288640 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 0.009826 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 0.615183 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 0.428407 & 0.091578 & 0.567446 & 0.029752 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 0.157703 & NaN & 0.032380 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.036383 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.024837 \\ +181 & 1849 & 756 & 2 & 110319 & 0.067884 & 0.082979 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 0.059928 & 0.034229 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & 0.338430 & 0.079486 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 0.064416 & 0.021910 & 0.040291 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 0.033437 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 0.028870 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & 0.039035 & NaN & NaN & NaN \\ +204 & 1849 & 766 & 2 & 280219 & 0.037405 & NaN & NaN & NaN \\ +205 & 1849 & 767 & 2 & 280219 & 0.024574 & NaN & NaN & NaN \\ +206 & 1849 & 768 & 2 & 280219 & 0.032383 & NaN & NaN & NaN \\ +291 & 1849 & 769 & 2 & 280219 & NaN & 0.101393 & NaN & NaN \\ +292 & 1849 & 770 & 2 & 280219 & NaN & 0.060287 & NaN & NaN \\ +442 & 1849 & 771 & 2 & 280219 & NaN & NaN & 0.057050 & NaN \\ +551 & 1849 & 773 & 2 & 280219 & NaN & NaN & NaN & 0.159709 \\ +99 & 1849 & 774 & 3 & 10319 & 0.063420 & NaN & NaN & NaN \\ +100 & 1849 & 775 & 3 & 10319 & 0.642846 & NaN & NaN & NaN \\ +101 & 1849 & 776 & 3 & 10319 & 0.258352 & NaN & NaN & NaN \\ +112 & 1849 & 780 & 3 & 60319 & 0.086870 & NaN & NaN & NaN \\ +113 & 1849 & 781 & 3 & 60319 & 0.582077 & NaN & NaN & NaN \\ +114 & 1849 & 782 & 3 & 60319 & 0.296456 & NaN & NaN & NaN \\ +115 & 1849 & 783 & 3 & 60319 & 0.173943 & 0.304897 & 0.262279 & 0.026261 \\ +339 & 1849 & 784 & 3 & 60319 & NaN & 0.076953 & NaN & NaN \\ +340 & 1849 & 785 & 3 & 60319 & NaN & 0.108872 & 0.583314 & 0.030956 \\ +183 & 1849 & 786 & 3 & 110319 & 0.451913 & NaN & NaN & NaN \\ +224 & 1849 & 787 & 3 & 110319 & NaN & 0.075661 & NaN & NaN \\ +164 & 1849 & 788 & 3 & 150319 & 0.234911 & NaN & NaN & NaN \\ +165 & 1849 & 789 & 3 & 150319 & 0.390566 & NaN & NaN & NaN \\ +281 & 1849 & 790 & 3 & 150319 & NaN & 0.137329 & NaN & NaN \\ +282 & 1849 & 791 & 3 & 150319 & NaN & 0.067253 & NaN & NaN \\ +463 & 1849 & 792 & 3 & 150319 & NaN & NaN & 0.346485 & NaN \\ +610 & 1849 & 793 & 3 & 150319 & NaN & NaN & NaN & 0.229118 \\ +22 & 1849 & 794 & 3 & 220319 & 0.472701 & NaN & NaN & NaN \\ +23 & 1849 & 795 & 3 & 220319 & 0.339554 & NaN & NaN & NaN \\ +24 & 1849 & 796 & 3 & 220319 & 0.450809 & NaN & NaN & NaN \\ +25 & 1849 & 797 & 3 & 220319 & 0.081011 & NaN & NaN & NaN \\ +251 & 1849 & 798 & 3 & 220319 & NaN & 0.031807 & NaN & NaN \\ +252 & 1849 & 799 & 3 & 220319 & NaN & 0.023759 & NaN & NaN \\ +497 & 1849 & 800 & 3 & 220319 & NaN & NaN & 0.019267 & NaN \\ +498 & 1849 & 801 & 3 & 220319 & NaN & NaN & 0.658007 & NaN \\ +499 & 1849 & 802 & 3 & 220319 & NaN & NaN & 0.160719 & NaN \\ +649 & 1849 & 803 & 3 & 220319 & NaN & NaN & NaN & 0.029013 \\ +650 & 1849 & 804 & 3 & 220319 & NaN & NaN & NaN & 0.079525 \\ +651 & 1849 & 805 & 3 & 220319 & NaN & NaN & NaN & 0.045407 \\ +207 & 1849 & 806 & 3 & 280219 & 0.039462 & NaN & NaN & NaN \\ +208 & 1849 & 807 & 3 & 280219 & 0.037588 & NaN & NaN & NaN \\ +209 & 1849 & 808 & 3 & 280219 & 0.031465 & NaN & NaN & NaN \\ +293 & 1849 & 810 & 3 & 280219 & NaN & 0.091430 & NaN & NaN \\ +294 & 1849 & 811 & 3 & 280219 & NaN & 0.170925 & NaN & NaN \\ +295 & 1849 & 812 & 3 & 280219 & NaN & 0.052165 & NaN & NaN \\ +296 & 1849 & 813 & 3 & 280219 & NaN & 0.026217 & NaN & 0.035303 \\ +443 & 1849 & 814 & 3 & 280219 & NaN & NaN & 0.310397 & NaN \\ +444 & 1849 & 815 & 3 & 280219 & NaN & NaN & 0.323472 & NaN \\ +552 & 1849 & 816 & 3 & 280219 & NaN & NaN & NaN & 0.056036 \\ +553 & 1849 & 817 & 3 & 280219 & NaN & NaN & NaN & 0.030496 \\ +554 & 1849 & 818 & 3 & 280219 & NaN & NaN & NaN & 0.025570 \\ +116 & 1849 & 820 & 4 & 60319 & 0.675264 & NaN & NaN & NaN \\ +341 & 1849 & 822 & 4 & 60319 & NaN & 0.230483 & NaN & NaN \\ +599 & 1849 & 824 & 4 & 60319 & NaN & NaN & NaN & 0.061921 \\ +225 & 1849 & 825 & 4 & 110319 & NaN & 0.229435 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & 0.488060 & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & 0.167538 & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 0.114532 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & 0.063657 & NaN \\ +26 & 1849 & 837 & 4 & 220319 & 0.046031 & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & 0.097375 & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & 0.248821 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 0.079726 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 0.050014 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 0.562630 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 0.127317 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 0.160137 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 0.524742 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 0.633112 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 0.136525 & 0.737471 & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 0.033553 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 0.110584 \\ +184 & 1849 & 857 & 5 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\\ +556 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.121052 \\ +106 & 1849 & 918 & 7 & 10319 & 0.741017 & NaN & NaN & NaN \\ +120 & 1849 & 922 & 7 & 60319 & 0.803166 & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & 0.576234 & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 0.110638 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.134687 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.070677 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & 0.387550 & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.049413 \\ +172 & 1849 & 930 & 7 & 150319 & 0.465043 & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & 0.045625 & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & 0.031222 & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 0.056048 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 0.133822 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 0.131194 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & 0.565533 & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.190255 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.csv new file mode 100644 index 000000000..352840e69 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.csv @@ -0,0 +1,640 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +187,1833,0,0,20719,0.3239087512016336,,0.40709519039636094,0.02016240792582994 +0,1833,1,0,260619,0.3898362458081753,,0.5576593909647645,0.0128375174849068 +6,1833,2,0,10719,0.3387507342800514,,, +7,1833,3,0,10719,0.27783354169599506,0.028742314421230087,, +8,1833,4,0,10719,0.645545388635094,0.035967479709125234,, +403,1833,6,0,10719,,0.0036439701955758947,, +404,1833,7,0,10719,,0.04074563838096608,, +188,1833,9,0,20719,0.5446846642400479,,, 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+424,1849,928,7,60319,,,0.5699430561303706, +603,1849,929,7,60319,,,,0.005550111358043178 +172,1849,930,7,150319,0.4553429760171106,,, +215,1849,931,7,280219,0.3771313056128812,,, +216,1849,933,7,280219,0.30668614772185265,,, +301,1849,934,7,280219,,0.09602561651209038,, +302,1849,935,7,280219,,0.014072989127427124,, +303,1849,936,7,280219,,0.059993093825000225,, +451,1849,938,7,280219,,,0.4526731657141427, +558,1849,940,7,280219,,,,0.016406816260314837 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.tex new file mode 100644 index 000000000..23ba2c813 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_not_gridcell_theta_vec_len.tex @@ -0,0 +1,645 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +187 & 1833 & 0 & 0 & 20719 & 0.323909 & NaN & 0.407095 & 0.020162 \\ +0 & 1833 & 1 & 0 & 260619 & 0.389836 & NaN & 0.557659 & 0.012838 \\ +6 & 1833 & 2 & 0 & 10719 & 0.338751 & NaN & NaN & NaN \\ +7 & 1833 & 3 & 0 & 10719 & 0.277834 & 0.028742 & NaN & NaN \\ +8 & 1833 & 4 & 0 & 10719 & 0.645545 & 0.035967 & NaN & NaN \\ +403 & 1833 & 6 & 0 & 10719 & NaN & 0.003644 & NaN & NaN \\ +404 & 1833 & 7 & 0 & 10719 & NaN & 0.040746 & NaN & NaN \\ +188 & 1833 & 9 & 0 & 20719 & 0.544685 & NaN & NaN & NaN \\ +189 & 1833 & 10 & 0 & 20719 & 0.144862 & 0.003177 & 0.152993 & 0.009361 \\ +359 & 1833 & 12 & 0 & 20719 & NaN & 0.012417 & NaN & NaN \\ +474 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.612897 & NaN \\ +475 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.243403 & NaN \\ +476 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.477730 & NaN \\ +559 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.013778 \\ +639 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.013506 \\ +92 & 1833 & 21 & 0 & 120619 & 0.661581 & 0.033759 & 0.609027 & NaN \\ +369 & 1833 & 24 & 0 & 200619 & NaN & 0.015231 & NaN & NaN \\ +585 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.037208 \\ +586 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.046999 \\ +522 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.101028 & NaN \\ +377 & 1833 & 41 & 0 & 290519 & NaN & 0.021636 & NaN & NaN \\ +9 & 1833 & 48 & 1 & 10719 & 0.372438 & NaN & NaN & NaN \\ +360 & 1833 & 50 & 1 & 20719 & NaN & 0.017333 & NaN & NaN \\ +194 & 1833 & 51 & 1 & 200619 & 0.201796 & NaN & 0.272950 & 0.003929 \\ +407 & 1833 & 54 & 1 & 10719 & NaN & 0.019486 & NaN & NaN \\ +477 & 1833 & 60 & 1 & 20719 & NaN & NaN & 0.344205 & NaN \\ +560 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.007038 \\ +640 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.013875 \\ +93 & 1833 & 72 & 1 & 120619 & 0.447191 & NaN & NaN & NaN \\ +195 & 1833 & 74 & 1 & 200619 & 0.333101 & NaN & NaN & NaN \\ +370 & 1833 & 75 & 1 & 200619 & NaN & 0.037897 & NaN & NaN \\ +529 & 1833 & 76 & 1 & 200619 & NaN & NaN & 0.332952 & 0.010692 \\ +242 & 1833 & 80 & 1 & 260619 & NaN & 0.026546 & NaN & NaN \\ +523 & 1833 & 82 & 1 & 260619 & NaN & NaN & 0.273336 & 0.019745 \\ +619 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.010058 \\ +51 & 1833 & 87 & 1 & 290519 & 0.206769 & NaN & NaN & NaN \\ +378 & 1833 & 90 & 1 & 290519 & NaN & 0.015568 & NaN & NaN \\ +379 & 1833 & 92 & 1 & 290519 & NaN & 0.020290 & NaN & NaN \\ +452 & 1833 & 93 & 1 & 290519 & NaN & NaN & 0.389199 & NaN \\ +627 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.005428 \\ +190 & 1833 & 96 & 2 & 20719 & 0.255012 & NaN & NaN & NaN \\ +408 & 1833 & 98 & 2 & 10719 & NaN & 0.047147 & NaN & NaN \\ +362 & 1833 & 100 & 2 & 20719 & NaN & 0.016039 & NaN & NaN \\ +363 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +364 & 1833 & 102 & 2 & 20719 & NaN & 0.397239 & NaN & NaN \\ +478 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.142567 & NaN \\ +479 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.006516 \\ +94 & 1833 & 109 & 2 & 120619 & 0.492106 & NaN & 0.338375 & NaN \\ +323 & 1833 & 110 & 2 & 120619 & NaN & 0.049742 & NaN & NaN \\ +243 & 1833 & 114 & 2 & 260619 & NaN & 0.055661 & NaN & NaN \\ +380 & 1833 & 115 & 2 & 290519 & NaN & 0.401507 & NaN & NaN \\ +381 & 1833 & 116 & 2 & 290519 & NaN & 0.504009 & NaN & NaN \\ +10 & 1833 & 119 & 3 & 10719 & 0.135445 & NaN & NaN & NaN \\ +409 & 1833 & 122 & 3 & 10719 & NaN & 0.014174 & NaN & NaN \\ +410 & 1833 & 123 & 3 & 10719 & NaN & 0.127624 & NaN & NaN \\ +411 & 1833 & 125 & 3 & 10719 & NaN & 0.051997 & NaN & NaN \\ +412 & 1833 & 126 & 3 & 10719 & NaN & 0.446656 & NaN & NaN \\ +413 & 1833 & 127 & 3 & 10719 & NaN & 0.023180 & NaN & NaN \\ +191 & 1833 & 131 & 3 & 20719 & 0.653336 & NaN & 0.588714 & NaN \\ +365 & 1833 & 133 & 3 & 20719 & NaN & 0.036212 & NaN & NaN \\ +562 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.028615 \\ +563 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.019036 \\ +564 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.012378 \\ +196 & 1833 & 145 & 3 & 200619 & 0.196953 & NaN & NaN & NaN \\ +371 & 1833 & 148 & 3 & 200619 & NaN & 0.028373 & NaN & NaN \\ +524 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.138279 & 0.000978 \\ +620 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.009171 \\ +52 & 1833 & 156 & 3 & 290519 & 0.643672 & NaN & NaN & NaN \\ +382 & 1833 & 158 & 3 & 290519 & NaN & 0.036634 & NaN & NaN \\ +383 & 1833 & 159 & 3 & 290519 & NaN & 0.020467 & NaN & NaN \\ +414 & 1833 & 162 & 4 & 10719 & NaN & 0.029557 & NaN & NaN \\ +480 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.375014 & NaN \\ +481 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.336932 & NaN \\ +319 & 1833 & 169 & 4 & 50619 & NaN & 0.022113 & NaN & NaN \\ +467 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.263758 & NaN \\ +468 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.261679 & NaN \\ +372 & 1833 & 175 & 4 & 200619 & NaN & 0.031124 & NaN & NaN \\ +587 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.071464 \\ +53 & 1833 & 178 & 4 & 290519 & 0.163193 & NaN & NaN & NaN \\ +453 & 1833 & 183 & 4 & 290519 & NaN & NaN & 0.245976 & NaN \\ +11 & 1833 & 187 & 5 & 10719 & 0.181417 & NaN & NaN & NaN \\ +415 & 1833 & 189 & 5 & 10719 & NaN & 0.055150 & NaN & NaN \\ +192 & 1833 & 190 & 5 & 20719 & 0.440522 & NaN & NaN & NaN \\ +366 & 1833 & 191 & 5 & 20719 & NaN & 0.012272 & NaN & NaN \\ +367 & 1833 & 192 & 5 & 20719 & NaN & 0.032440 & NaN & NaN \\ +482 & 1833 & 193 & 5 & 20719 & NaN & NaN & 0.564575 & NaN \\ +565 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.013709 \\ +641 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.019326 \\ +642 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.038476 \\ +525 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.340015 & NaN \\ +54 & 1833 & 212 & 5 & 290519 & 0.496844 & NaN & NaN & NaN \\ +55 & 1833 & 213 & 5 & 290519 & 0.154065 & NaN & NaN & NaN \\ +454 & 1833 & 216 & 5 & 290519 & NaN & NaN & 0.327897 & 0.011414 \\ +455 & 1833 & 217 & 5 & 290519 & NaN & NaN & 0.357526 & NaN \\ +12 & 1833 & 219 & 6 & 10719 & 0.152759 & NaN & NaN & NaN \\ +13 & 1833 & 220 & 6 & 10719 & 0.060562 & NaN & NaN & NaN \\ +14 & 1833 & 221 & 6 & 10719 & 0.116483 & NaN & NaN & NaN \\ +15 & 1833 & 222 & 6 & 10719 & 0.137184 & NaN & NaN & NaN \\ +416 & 1833 & 223 & 6 & 10719 & NaN & 0.020472 & NaN & NaN \\ +193 & 1833 & 224 & 6 & 20719 & 0.532660 & NaN & NaN & NaN \\ +368 & 1833 & 225 & 6 & 20719 & NaN & 0.007948 & NaN & NaN \\ +483 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.118584 & NaN \\ +484 & 1833 & 227 & 6 & 20719 & NaN & NaN & 0.426654 & 0.017615 \\ +566 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.012523 \\ +32 & 1833 & 230 & 6 & 50619 & 0.191807 & 0.006706 & NaN & NaN \\ +1 & 1833 & 231 & 6 & 260619 & 0.296946 & NaN & NaN & NaN \\ +628 & 1833 & 232 & 6 & 290519 & NaN & NaN & NaN & 0.011410 \\ +320 & 1833 & 235 & 6 & 50619 & NaN & 0.017681 & NaN & NaN \\ +321 & 1833 & 236 & 6 & 50619 & NaN & 0.026310 & NaN & NaN \\ +645 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.043819 \\ +646 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.016455 \\ +625 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.037835 \\ +526 & 1833 & 250 & 6 & 260619 & NaN & NaN & 0.079385 & NaN \\ +373 & 1833 & 255 & 6 & 200619 & NaN & 0.050687 & NaN & NaN \\ +374 & 1833 & 256 & 6 & 200619 & NaN & 0.027788 & NaN & NaN \\ +530 & 1833 & 258 & 6 & 200619 & NaN & NaN & 0.211273 & NaN \\ +588 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.002791 \\ +589 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.010842 \\ +2 & 1833 & 264 & 6 & 260619 & 0.060550 & NaN & NaN & NaN \\ +244 & 1833 & 266 & 6 & 260619 & NaN & 0.043287 & NaN & NaN \\ +245 & 1833 & 267 & 6 & 260619 & NaN & 0.055942 & NaN & NaN \\ +246 & 1833 & 268 & 6 & 260619 & NaN & 0.004867 & NaN & NaN \\ +247 & 1833 & 269 & 6 & 260619 & NaN & 0.076027 & NaN & NaN \\ +621 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 0.024628 \\ +622 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 0.004935 \\ +623 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 0.011014 \\ +56 & 1833 & 276 & 6 & 290519 & 0.118759 & NaN & NaN & NaN \\ +57 & 1833 & 277 & 6 & 290519 & 0.357688 & NaN & NaN & NaN \\ +58 & 1833 & 280 & 6 & 290519 & 0.164642 & NaN & NaN & NaN \\ +59 & 1833 & 281 & 6 & 290519 & 0.067324 & NaN & NaN & NaN \\ +60 & 1833 & 282 & 6 & 290519 & 0.123405 & NaN & NaN & NaN \\ +384 & 1833 & 283 & 6 & 290519 & NaN & 0.025606 & NaN & NaN \\ +456 & 1833 & 287 & 6 & 290519 & NaN & NaN & 0.196814 & NaN \\ +457 & 1833 & 288 & 6 & 290519 & NaN & NaN & 0.207829 & NaN \\ +458 & 1833 & 289 & 6 & 290519 & NaN & NaN & 0.156610 & NaN \\ +629 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.009292 \\ +630 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.006621 \\ +631 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.006582 \\ +16 & 1833 & 293 & 7 & 10719 & 0.088961 & NaN & NaN & NaN \\ +17 & 1833 & 294 & 7 & 10719 & 0.154943 & 0.040661 & NaN & NaN \\ +18 & 1833 & 295 & 7 & 10719 & 0.009929 & NaN & NaN & NaN \\ +417 & 1833 & 296 & 7 & 10719 & NaN & 0.047826 & NaN & NaN \\ +418 & 1833 & 297 & 7 & 10719 & NaN & 0.012319 & NaN & NaN \\ +322 & 1833 & 298 & 7 & 50619 & NaN & 0.015270 & NaN & NaN \\ +647 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 0.012598 \\ +626 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 0.015290 \\ +375 & 1833 & 305 & 7 & 200619 & NaN & 0.067458 & NaN & NaN \\ +376 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +531 & 1833 & 307 & 7 & 200619 & NaN & NaN & 0.025666 & NaN \\ +3 & 1833 & 308 & 7 & 260619 & 0.045102 & NaN & NaN & NaN \\ +527 & 1833 & 309 & 7 & 260619 & NaN & NaN & 0.036454 & NaN \\ +528 & 1833 & 310 & 7 & 260619 & NaN & NaN & 0.142090 & NaN \\ +624 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 0.012039 \\ +61 & 1833 & 312 & 7 & 290519 & 0.024558 & NaN & NaN & NaN \\ +62 & 1833 & 313 & 7 & 290519 & 0.140429 & NaN & NaN & NaN \\ +63 & 1833 & 314 & 7 & 290519 & 0.140043 & NaN & NaN & NaN \\ +64 & 1833 & 315 & 7 & 290519 & 0.086813 & NaN & NaN & NaN \\ +65 & 1833 & 316 & 7 & 290519 & 0.047380 & NaN & NaN & NaN \\ +632 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.013753 \\ +633 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.020833 \\ +634 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 0.007007 \\ +80 & 1834 & 327 & 0 & 10319 & 0.298285 & NaN & NaN & NaN \\ +81 & 1834 & 328 & 0 & 10319 & 0.128388 & NaN & NaN & NaN \\ +304 & 1834 & 330 & 0 & 10319 & NaN & 0.104814 & NaN & NaN \\ +68 & 1834 & 332 & 0 & 110319 & 0.024352 & 0.027164 & NaN & NaN \\ +137 & 1834 & 333 & 0 & 60319 & 0.102438 & NaN & NaN & NaN \\ +138 & 1834 & 334 & 0 & 60319 & 0.185542 & NaN & NaN & NaN \\ +139 & 1834 & 335 & 0 & 60319 & 0.177875 & NaN & NaN & NaN \\ +140 & 1834 & 336 & 0 & 60319 & 0.150061 & NaN & NaN & NaN \\ +141 & 1834 & 337 & 0 & 60319 & 0.254281 & NaN & NaN & NaN \\ +469 & 1834 & 339 & 0 & 60319 & NaN & NaN & 0.245710 & NaN \\ +69 & 1834 & 340 & 0 & 110319 & 0.069229 & NaN & NaN & NaN \\ +347 & 1834 & 341 & 0 & 110319 & NaN & 0.035438 & NaN & NaN \\ +149 & 1834 & 343 & 0 & 120319 & 0.254922 & 0.027887 & 0.259888 & 0.006797 \\ +425 & 1834 & 344 & 0 & 150319 & NaN & NaN & 0.226987 & 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& 1 & 280219 & NaN & NaN & NaN & 0.006881 \\ +550 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.011163 \\ +96 & 1849 & 745 & 2 & 10319 & 0.180065 & NaN & NaN & NaN \\ +97 & 1849 & 746 & 2 & 10319 & 0.123992 & NaN & NaN & NaN \\ +98 & 1849 & 747 & 2 & 10319 & 0.292878 & NaN & NaN & NaN \\ +21 & 1849 & 750 & 2 & 220319 & 0.278072 & 0.017641 & 0.306023 & 0.005950 \\ +338 & 1849 & 752 & 2 & 60319 & NaN & 0.022664 & NaN & 0.003256 \\ +423 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.197304 & NaN \\ +598 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.006109 \\ +181 & 1849 & 756 & 2 & 110319 & 0.056841 & 0.041753 & NaN & NaN \\ +182 & 1849 & 757 & 2 & 110319 & 0.066772 & 0.029999 & NaN & NaN \\ +163 & 1849 & 758 & 2 & 150319 & 0.256868 & 0.041339 & NaN & NaN \\ +280 & 1849 & 760 & 2 & 150319 & NaN & 0.017929 & 0.086226 & 0.015555 \\ +609 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 0.008488 \\ +250 & 1849 & 763 & 2 & 220319 & NaN & 0.063640 & NaN & NaN \\ +203 & 1849 & 764 & 2 & 280219 & 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0.014793 \\ +554 & 1849 & 818 & 3 & 280219 & NaN & NaN & NaN & 0.010568 \\ +116 & 1849 & 820 & 4 & 60319 & 0.427399 & NaN & NaN & NaN \\ +341 & 1849 & 822 & 4 & 60319 & NaN & 0.034341 & NaN & NaN \\ +599 & 1849 & 824 & 4 & 60319 & NaN & NaN & NaN & 0.006642 \\ +225 & 1849 & 825 & 4 & 110319 & NaN & 0.029223 & NaN & NaN \\ +166 & 1849 & 828 & 4 & 150319 & 0.390383 & NaN & NaN & NaN \\ +167 & 1849 & 829 & 4 & 150319 & 0.108470 & NaN & NaN & NaN \\ +283 & 1849 & 832 & 4 & 150319 & NaN & 0.025976 & NaN & NaN \\ +464 & 1849 & 833 & 4 & 150319 & NaN & NaN & 0.187416 & NaN \\ +26 & 1849 & 837 & 4 & 220319 & 0.496122 & NaN & NaN & NaN \\ +27 & 1849 & 838 & 4 & 220319 & 0.433077 & NaN & NaN & NaN \\ +28 & 1849 & 839 & 4 & 220319 & 0.422623 & NaN & NaN & NaN \\ +253 & 1849 & 840 & 4 & 220319 & NaN & 0.025120 & NaN & NaN \\ +297 & 1849 & 843 & 4 & 280219 & NaN & 0.102088 & NaN & NaN \\ +445 & 1849 & 845 & 4 & 280219 & NaN & NaN & 0.479088 & NaN \\ +102 & 1849 & 848 & 5 & 10319 & 0.571749 & NaN & NaN & NaN \\ +103 & 1849 & 849 & 5 & 10319 & 0.571791 & NaN & NaN & NaN \\ +117 & 1849 & 852 & 5 & 60319 & 0.393987 & NaN & NaN & NaN \\ +118 & 1849 & 853 & 5 & 60319 & 0.425337 & NaN & NaN & NaN \\ +342 & 1849 & 854 & 5 & 60319 & NaN & 0.008048 & 0.437018 & NaN \\ +343 & 1849 & 855 & 5 & 60319 & NaN & 0.038925 & NaN & NaN \\ +600 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 0.003568 \\ +184 & 1849 & 857 & 5 & 110319 & 0.589231 & NaN & NaN & NaN \\ +185 & 1849 & 858 & 5 & 110319 & 0.458945 & NaN & NaN & NaN \\ +186 & 1849 & 859 & 5 & 110319 & 0.308432 & NaN & NaN & NaN \\ +226 & 1849 & 860 & 5 & 110319 & NaN & 0.029795 & NaN & NaN \\ +227 & 1849 & 861 & 5 & 110319 & NaN & 0.035317 & NaN & NaN \\ +168 & 1849 & 863 & 5 & 150319 & 0.596966 & NaN & NaN & NaN \\ +169 & 1849 & 864 & 5 & 150319 & 0.180027 & NaN & NaN & NaN \\ +170 & 1849 & 865 & 5 & 150319 & 0.362125 & NaN & NaN & NaN \\ +171 & 1849 & 866 & 5 & 150319 & 0.483618 & NaN & NaN & NaN \\ +284 & 1849 & 867 & 5 & 150319 & NaN & 0.035988 & NaN & NaN \\ +285 & 1849 & 868 & 5 & 150319 & NaN & 0.028267 & 0.318353 & 0.007378 \\ +286 & 1849 & 869 & 5 & 150319 & NaN & 0.045834 & NaN & NaN \\ +287 & 1849 & 870 & 5 & 150319 & NaN & 0.063543 & NaN & NaN \\ +465 & 1849 & 871 & 5 & 150319 & NaN & NaN & 0.360824 & NaN \\ +466 & 1849 & 872 & 5 & 150319 & NaN & NaN & 0.536594 & NaN \\ +611 & 1849 & 873 & 5 & 150319 & NaN & NaN & NaN & 0.010663 \\ +29 & 1849 & 874 & 5 & 220319 & 0.364230 & NaN & NaN & NaN \\ +30 & 1849 & 875 & 5 & 220319 & 0.319416 & NaN & NaN & NaN \\ +31 & 1849 & 876 & 5 & 220319 & 0.475160 & NaN & NaN & NaN \\ +254 & 1849 & 877 & 5 & 220319 & NaN & 0.031603 & NaN & NaN \\ +255 & 1849 & 878 & 5 & 220319 & NaN & 0.022447 & NaN & NaN \\ +256 & 1849 & 879 & 5 & 220319 & NaN & 0.017705 & NaN & NaN \\ +500 & 1849 & 880 & 5 & 220319 & NaN & NaN & 0.530419 & NaN \\ +501 & 1849 & 881 & 5 & 220319 & NaN & NaN & 0.328645 & NaN \\ +502 & 1849 & 882 & 5 & 220319 & NaN & NaN & 0.291655 & NaN \\ +652 & 1849 & 883 & 5 & 220319 & NaN & NaN & NaN & 0.004551 \\ +653 & 1849 & 884 & 5 & 220319 & NaN & NaN & NaN & 0.007303 \\ +654 & 1849 & 885 & 5 & 220319 & NaN & NaN & NaN & 0.005519 \\ +655 & 1849 & 886 & 5 & 220319 & NaN & NaN & NaN & 0.008395 \\ +210 & 1849 & 887 & 5 & 280219 & 0.393879 & NaN & NaN & NaN \\ +298 & 1849 & 888 & 5 & 280219 & NaN & 0.058040 & NaN & NaN \\ +446 & 1849 & 889 & 5 & 280219 & NaN & NaN & 0.399266 & NaN \\ +104 & 1849 & 892 & 6 & 10319 & 0.390271 & NaN & NaN & NaN \\ +105 & 1849 & 894 & 6 & 10319 & 0.538617 & NaN & NaN & NaN \\ +119 & 1849 & 900 & 6 & 60319 & 0.555885 & NaN & NaN & NaN \\ +601 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 0.005594 \\ +602 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 0.045044 \\ +211 & 1849 & 903 & 6 & 280219 & 0.091585 & NaN & NaN & NaN \\ +212 & 1849 & 904 & 6 & 280219 & 0.063649 & NaN & NaN & NaN \\ +213 & 1849 & 905 & 6 & 280219 & 0.182331 & NaN & NaN & NaN \\ +214 & 1849 & 906 & 6 & 280219 & 0.135646 & NaN & NaN & NaN \\ +299 & 1849 & 909 & 6 & 280219 & NaN & 0.043276 & NaN & NaN \\ +300 & 1849 & 910 & 6 & 280219 & NaN & 0.036957 & NaN & NaN \\ +447 & 1849 & 912 & 6 & 280219 & NaN & NaN & 0.257424 & NaN \\ +448 & 1849 & 913 & 6 & 280219 & NaN & NaN & 0.406594 & NaN \\ +449 & 1849 & 914 & 6 & 280219 & NaN & NaN & 0.332302 & NaN \\ +450 & 1849 & 915 & 6 & 280219 & NaN & NaN & 0.392599 & NaN \\ +555 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 0.011483 \\ +556 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.007034 \\ +106 & 1849 & 918 & 7 & 10319 & 0.486557 & NaN & NaN & NaN \\ +120 & 1849 & 922 & 7 & 60319 & 0.622544 & NaN & NaN & NaN \\ +121 & 1849 & 923 & 7 & 60319 & 0.596041 & NaN & NaN & NaN \\ +344 & 1849 & 924 & 7 & 60319 & NaN & 0.020991 & NaN & NaN \\ +345 & 1849 & 925 & 7 & 60319 & NaN & 0.055949 & NaN & NaN \\ +346 & 1849 & 926 & 7 & 60319 & NaN & 0.068587 & NaN & NaN \\ +424 & 1849 & 928 & 7 & 60319 & NaN & NaN & 0.569943 & NaN \\ +603 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.005550 \\ +172 & 1849 & 930 & 7 & 150319 & 0.455343 & NaN & NaN & NaN \\ +215 & 1849 & 931 & 7 & 280219 & 0.377131 & NaN & NaN & NaN \\ +216 & 1849 & 933 & 7 & 280219 & 0.306686 & NaN & NaN & NaN \\ +301 & 1849 & 934 & 7 & 280219 & NaN & 0.096026 & NaN & NaN \\ +302 & 1849 & 935 & 7 & 280219 & NaN & 0.014073 & NaN & NaN \\ +303 & 1849 & 936 & 7 & 280219 & NaN & 0.059993 & NaN & NaN \\ +451 & 1849 & 938 & 7 & 280219 & NaN & NaN & 0.452673 & NaN \\ +558 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.016407 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.csv new file mode 100644 index 000000000..4bf0c5236 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.csv @@ -0,0 +1,764 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +237,1833,0,0,20719,,,,5.719021003028008 +0,1833,1,0,260619,,,,1.7171195120335216 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a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.tex new file mode 100644 index 000000000..5381f75a1 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_ang.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 5.719021 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 1.717120 \\ +15 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & NaN & 0.498799 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & NaN & 4.299840 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 4.446428 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 4.373139 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +240 & 1833 & 10 & 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4.295925 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 5.619141 & NaN & 3.126928 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.472937 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & NaN & 4.488157 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 4.129243 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 2.486983 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 4.864007 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 4.403162 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 4.528653 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +243 & 1833 & 58 & 1 & 20719 & NaN & 4.063422 & NaN & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 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& 1834 & 448 & 6 & 10319 & NaN & 3.014525 & NaN & NaN \\ +629 & 1834 & 449 & 6 & 10319 & NaN & NaN & NaN & 1.380968 \\ +630 & 1834 & 450 & 6 & 10319 & NaN & NaN & NaN & 0.987562 \\ +728 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 0.947754 \\ +411 & 1834 & 452 & 6 & 60319 & NaN & 0.082017 & NaN & NaN \\ +412 & 1834 & 453 & 6 & 60319 & NaN & 0.794732 & NaN & NaN \\ +413 & 1834 & 454 & 6 & 60319 & NaN & 0.272274 & NaN & NaN \\ +414 & 1834 & 455 & 6 & 60319 & NaN & 0.342762 & NaN & 5.385228 \\ +587 & 1834 & 456 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +750 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 5.981595 \\ +751 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 5.919478 \\ +110 & 1834 & 459 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +111 & 1834 & 460 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +433 & 1834 & 461 & 6 & 110319 & NaN & 0.369172 & NaN & NaN \\ +434 & 1834 & 462 & 6 & 110319 & NaN & 0.269936 & NaN & NaN \\ +435 & 1834 & 464 & 6 & 110319 & NaN & 0.103612 & NaN & NaN \\ +436 & 1834 & 465 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& NaN & NaN & NaN & 5.032020 \\ +608 & 1834 & 488 & 6 & 220319 & NaN & NaN & NaN & 5.379009 \\ +609 & 1834 & 489 & 6 & 220319 & NaN & NaN & NaN & 5.163359 \\ +129 & 1834 & 490 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +130 & 1834 & 491 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +390 & 1834 & 492 & 7 & 10319 & NaN & 1.943269 & NaN & NaN \\ +391 & 1834 & 493 & 7 & 10319 & NaN & 2.087318 & NaN & NaN \\ +392 & 1834 & 494 & 7 & 10319 & NaN & 1.757778 & NaN & NaN \\ +393 & 1834 & 495 & 7 & 10319 & NaN & 2.952077 & NaN & NaN \\ +394 & 1834 & 496 & 7 & 10319 & NaN & 2.712802 & NaN & NaN \\ +631 & 1834 & 497 & 7 & 10319 & NaN & NaN & NaN & 1.915207 \\ +632 & 1834 & 498 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +633 & 1834 & 499 & 7 & 10319 & NaN & NaN & NaN & 1.235793 \\ +729 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 0.878452 \\ +730 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 1.147969 \\ +195 & 1834 & 502 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +196 & 1834 & 503 & 7 & 60319 & NaN & NaN & NaN & NaN \\ 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& 120619 & NaN & NaN & NaN & NaN \\ +636 & 1839 & 582 & 3 & 120619 & NaN & NaN & NaN & NaN \\ +660 & 1839 & 583 & 3 & 120619 & NaN & NaN & NaN & 6.266114 \\ +101 & 1839 & 584 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +488 & 1839 & 585 & 3 & 200619 & NaN & 5.923772 & NaN & NaN \\ +204 & 1839 & 586 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +282 & 1839 & 587 & 4 & 60619 & NaN & 6.261748 & NaN & NaN \\ +566 & 1839 & 588 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +777 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 4.800580 \\ +479 & 1839 & 590 & 4 & 120619 & NaN & 1.811966 & NaN & NaN \\ +637 & 1839 & 591 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +638 & 1839 & 592 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +661 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 2.293753 \\ +662 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 2.503603 \\ +663 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 2.106694 \\ +664 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 1.954973 \\ +102 & 1839 & 597 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +489 & 1839 & 598 & 4 & 200619 & NaN & 5.931121 & NaN & NaN \\ +490 & 1839 & 599 & 4 & 200619 & NaN & 5.731823 & NaN & NaN \\ +491 & 1839 & 600 & 4 & 200619 & NaN & 6.130987 & NaN & NaN \\ +71 & 1839 & 601 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 602 & 4 & 290519 & NaN & 0.006937 & NaN & NaN \\ +339 & 1839 & 603 & 4 & 290519 & NaN & 0.323109 & NaN & NaN \\ +283 & 1839 & 606 & 5 & 60619 & NaN & 5.002257 & NaN & 4.508284 \\ +567 & 1839 & 607 & 5 & 60619 & NaN & NaN & NaN & NaN \\ +778 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 4.531965 \\ +67 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +480 & 1839 & 610 & 5 & 120619 & NaN & 1.144420 & NaN & NaN \\ +481 & 1839 & 611 & 5 & 120619 & NaN & 1.643076 & NaN & NaN \\ +639 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +103 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +492 & 1839 & 614 & 5 & 200619 & NaN & 5.352047 & NaN & NaN \\ +73 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +74 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +340 & 1839 & 617 & 5 & 290519 & NaN & 0.534556 & NaN & NaN \\ +341 & 1839 & 618 & 5 & 290519 & NaN & 1.895949 & NaN & NaN \\ +342 & 1839 & 619 & 5 & 290519 & NaN & 1.368866 & NaN & NaN \\ +343 & 1839 & 620 & 5 & 290519 & NaN & 0.318182 & NaN & NaN \\ +284 & 1839 & 623 & 6 & 60619 & NaN & 6.278831 & NaN & NaN \\ +779 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 4.789459 \\ +780 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 4.768906 \\ +482 & 1839 & 629 & 6 & 120619 & NaN & 2.217016 & NaN & 2.285326 \\ +483 & 1839 & 630 & 6 & 120619 & NaN & 1.980969 & NaN & NaN \\ +484 & 1839 & 631 & 6 & 120619 & NaN & 2.274355 & NaN & NaN \\ +640 & 1839 & 634 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +641 & 1839 & 635 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +665 & 1839 & 636 & 6 & 120619 & NaN & NaN & NaN & 1.586178 \\ +666 & 1839 & 637 & 6 & 120619 & NaN & NaN & NaN & 1.935044 \\ +667 & 1839 & 638 & 6 & 120619 & NaN & NaN & NaN & 2.144742 \\ +668 & 1839 & 639 & 6 & 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& NaN & NaN & NaN & 2.103419 \\ +104 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +498 & 1839 & 662 & 7 & 200619 & NaN & 5.547781 & NaN & NaN \\ +499 & 1839 & 663 & 7 & 200619 & NaN & 5.757890 & NaN & NaN \\ +500 & 1839 & 664 & 7 & 200619 & NaN & 5.741819 & NaN & NaN \\ +77 & 1839 & 665 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +78 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +79 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +80 & 1839 & 668 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +347 & 1839 & 669 & 7 & 290519 & NaN & 0.435288 & NaN & NaN \\ +348 & 1839 & 670 & 7 & 290519 & NaN & 0.376457 & NaN & NaN \\ +349 & 1839 & 671 & 7 & 290519 & NaN & 6.097444 & NaN & NaN \\ +350 & 1839 & 672 & 7 & 290519 & NaN & 0.273914 & NaN & NaN \\ +149 & 1849 & 674 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +222 & 1849 & 675 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +285 & 1849 & 676 & 0 & 110319 & NaN & 3.790805 & NaN & NaN \\ +206 & 1849 & 677 & 0 & 150319 & NaN & 2.086003 & NaN & 2.333777 \\ +207 & 1849 & 678 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +351 & 1849 & 679 & 0 & 150319 & NaN & 2.234984 & NaN & NaN \\ +570 & 1849 & 680 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +738 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 1.796402 \\ +739 & 1849 & 682 & 0 & 150319 & NaN & NaN & NaN & 1.888828 \\ +37 & 1849 & 683 & 0 & 220319 & NaN & NaN & NaN & 3.958394 \\ +316 & 1849 & 684 & 0 & 220319 & NaN & 5.163700 & NaN & NaN \\ +261 & 1849 & 685 & 0 & 280219 & NaN & NaN & NaN & NaN \\ +360 & 1849 & 686 & 0 & 280219 & NaN & 1.406334 & NaN & NaN \\ +540 & 1849 & 687 & 0 & 280219 & NaN & NaN & NaN & NaN \\ +541 & 1849 & 688 & 0 & 280219 & NaN & NaN & NaN & NaN \\ +675 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 1.365859 \\ +676 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 1.317248 \\ +793 & 1849 & 691 & 1 & 220319 & NaN & NaN & NaN & 3.529688 \\ +150 & 1849 & 699 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +151 & 1849 & 700 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +152 & 1849 & 701 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +153 & 1849 & 702 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +521 & 1849 & 703 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +522 & 1849 & 705 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +523 & 1849 & 706 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +524 & 1849 & 707 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +731 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 6.130347 \\ +223 & 1849 & 709 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +224 & 1849 & 710 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +225 & 1849 & 711 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +226 & 1849 & 712 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +227 & 1849 & 713 & 1 & 110319 & NaN & NaN & NaN & NaN \\ +228 & 1849 & 714 & 1 & 110319 & NaN & 3.929824 & NaN & NaN \\ +229 & 1849 & 715 & 1 & 110319 & NaN & 4.321929 & NaN & NaN \\ +286 & 1849 & 716 & 1 & 110319 & NaN & 3.870417 & NaN & NaN \\ +287 & 1849 & 717 & 1 & 110319 & NaN & 3.194470 & NaN & NaN \\ +288 & 1849 & 718 & 1 & 110319 & NaN & 3.882985 & NaN & NaN \\ +208 & 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+552,1849,915,6,280219,,,, +684,1849,916,6,280219,,,,0.14746138876568332 +685,1849,917,6,280219,,,,0.1651370968579883 +686,1849,918,7,280219,,,,0.04934652258600723 +163,1849,922,7,60319,,,, +164,1849,923,7,60319,,,, +426,1849,924,7,60319,,0.135982157523105,, +427,1849,925,7,60319,,0.2547539145152306,, +428,1849,926,7,60319,,0.15055603122355854,, +526,1849,928,7,60319,,,, +737,1849,929,7,60319,,,,0.1346746025244885 +221,1849,930,7,150319,,,, +279,1849,931,7,280219,,,, +280,1849,932,7,280219,,,, +281,1849,933,7,280219,,,, +374,1849,934,7,280219,,0.012098422995574116,, +375,1849,935,7,280219,,0.9777549657040026,, +376,1849,936,7,280219,,0.22742072342152936,, +377,1849,937,7,280219,,0.1818188153056944,, +553,1849,938,7,280219,,,, +554,1849,939,7,280219,,,, +687,1849,940,7,280219,,,,0.02598566305153381 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_energy.tex new file mode 100644 index 000000000..56bcb367b --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_energy.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.021117 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.106965 \\ +15 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & NaN & 0.038347 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & NaN & 0.051844 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.057095 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.036430 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & NaN & 0.030755 & NaN & 0.103868 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.066233 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.012245 & NaN & 0.158376 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.106060 & NaN & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.088762 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.072861 \\ +131 & 1833 & 21 & 0 & 120619 & NaN & 0.060364 & NaN & NaN \\ +251 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.026058 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.072146 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.033716 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.002814 \\ +1 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.054148 & NaN & 0.021332 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.066487 & NaN & 0.047182 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.017204 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & NaN & 0.038635 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.064875 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 0.055826 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.007464 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.027109 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.045304 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +243 & 1833 & 58 & 1 & 20719 & NaN & 0.050425 & NaN & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.032597 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.057290 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.138431 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.064069 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.132164 \\ +132 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.199271 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 0.065677 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 0.075558 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 0.232173 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 0.098985 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.072111 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.006714 \\ +81 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.034477 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.073492 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.049422 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.034178 \\ +23 & 1833 & 96 & 2 & 10719 & NaN & 0.186418 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.045423 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.039985 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.010115 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.128585 \\ +50 & 1833 & 106 & 2 & 50619 & NaN & 0.034933 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.059736 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.178490 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.185265 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.183886 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.004411 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & NaN & 0.020516 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.030068 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.019540 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.073275 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.002716 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.036887 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.031358 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.051186 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & NaN & 0.091308 & NaN & NaN \\ +247 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +248 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.037149 & NaN & NaN \\ +452 & 1833 & 134 & 3 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+546,1849,815,3,280219,,,, +681,1849,816,3,280219,,,,0.2564730084859264 +682,1849,817,3,280219,,,,0.2923061592162419 +683,1849,818,3,280219,,,,0.3109295328349724 +158,1849,820,4,60319,,,, +423,1849,822,4,60319,,0.33946683689218204,, +733,1849,824,4,60319,,,,0.3130904968552173 +290,1849,825,4,110319,,0.3068521242083317,, +215,1849,828,4,150319,,,, +216,1849,829,4,150319,,,, +355,1849,832,4,150319,,0.2735748104158624,, +573,1849,833,4,150319,,,, +745,1849,835,4,150319,,,,0.22053904120757292 +44,1849,837,4,220319,,,, +45,1849,838,4,220319,,,, +46,1849,839,4,220319,,,, +322,1849,840,4,220319,,0.23934826294074266,, +370,1849,843,4,280219,,0.21622687502640936,, +547,1849,845,4,280219,,,, +144,1849,848,5,10319,,,, +145,1849,849,5,10319,,,, +159,1849,851,5,60319,,,, +160,1849,852,5,60319,,,, +161,1849,853,5,60319,,,, +424,1849,854,5,60319,,0.2943677649395369,, +425,1849,855,5,60319,,0.22006319559496745,, +734,1849,856,5,60319,,,,0.39989385127386257 +234,1849,857,5,110319,,,, +235,1849,858,5,110319,,,, +236,1849,859,5,110319,,,, +291,1849,860,5,110319,,0.32292265838831824,, +292,1849,861,5,110319,,0.3142335993210477,, +217,1849,863,5,150319,,,, +218,1849,864,5,150319,,,, +219,1849,865,5,150319,,,, +220,1849,866,5,150319,,,, +356,1849,867,5,150319,,0.2931334485627435,, +357,1849,868,5,150319,,0.2897845390766953,,0.27410512274538235 +358,1849,869,5,150319,,0.3053974372734167,, +359,1849,870,5,150319,,0.3045935163444149,, +574,1849,871,5,150319,,,, +575,1849,872,5,150319,,,, +746,1849,873,5,150319,,,,0.4066183888818067 +47,1849,874,5,220319,,,, +48,1849,875,5,220319,,,, +49,1849,876,5,220319,,,, +323,1849,877,5,220319,,0.2408395436376853,, +324,1849,878,5,220319,,0.2943863073152801,, +325,1849,879,5,220319,,0.2950701795869985,, +618,1849,880,5,220319,,,, +619,1849,881,5,220319,,,, +620,1849,882,5,220319,,,, +797,1849,883,5,220319,,,,0.2814726796177105 +798,1849,884,5,220319,,,,0.3009578908782231 +799,1849,885,5,220319,,,,0.26958226899141025 +800,1849,886,5,220319,,,,0.29819224940163025 +274,1849,887,5,280219,,,, +371,1849,888,5,280219,,0.3370736799008043,, +548,1849,889,5,280219,,,, +146,1849,892,6,10319,,,, +147,1849,894,6,10319,,,, +162,1849,900,6,60319,,,, +735,1849,901,6,60319,,,,0.2730742282662213 +736,1849,902,6,60319,,,,0.24185225678158065 +275,1849,903,6,280219,,,, +276,1849,904,6,280219,,,, +277,1849,905,6,280219,,,, +278,1849,906,6,280219,,,, +372,1849,909,6,280219,,0.3153651636469359,, +373,1849,910,6,280219,,0.2702298897566102,, +549,1849,912,6,280219,,,, +550,1849,913,6,280219,,,, +551,1849,914,6,280219,,,, +552,1849,915,6,280219,,,, +684,1849,916,6,280219,,,,0.27626395702269946 +685,1849,917,6,280219,,,,0.28028939448844525 +686,1849,918,7,280219,,,,1.2131009029759312 +163,1849,922,7,60319,,,, +164,1849,923,7,60319,,,, +426,1849,924,7,60319,,0.2723319561137316,, +427,1849,925,7,60319,,0.3242312844661619,, +428,1849,926,7,60319,,0.26727605938969035,, +526,1849,928,7,60319,,,, +737,1849,929,7,60319,,,,0.2658853869201927 +221,1849,930,7,150319,,,, +279,1849,931,7,280219,,,, +280,1849,932,7,280219,,,, +281,1849,933,7,280219,,,, +374,1849,934,7,280219,,0.2201449997730496,, +375,1849,935,7,280219,,20.548939835409282,, +376,1849,936,7,280219,,0.30979174158767897,, +377,1849,937,7,280219,,0.2827521566213207,, +553,1849,938,7,280219,,,, +554,1849,939,7,280219,,,, +687,1849,940,7,280219,,,,0.3345442095843936 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_half_width.tex new file mode 100644 index 000000000..6828cd664 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_half_width.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.315266 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.248742 \\ +15 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & NaN & 0.181569 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & NaN & 0.170839 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.201264 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.179081 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & NaN & 0.187885 & NaN & 0.246487 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.222543 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.166902 & NaN & 0.280486 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.227058 & NaN & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.231108 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.230227 \\ +131 & 1833 & 21 & 0 & 120619 & NaN & 0.214683 & NaN & NaN \\ +251 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.172499 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.256387 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.251192 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.389128 \\ +1 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.178474 & NaN & 0.236953 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.213102 & NaN & 0.227603 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.171802 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & NaN & 0.201031 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.192501 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 0.211361 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.139985 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.193239 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.231004 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +243 & 1833 & 58 & 1 & 20719 & NaN & 0.204319 & NaN & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.197896 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.218787 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.260868 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.235740 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.265870 \\ +132 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.274295 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 0.223800 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 0.223594 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 0.322167 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 0.241124 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.240719 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.184634 \\ +81 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.204726 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.198847 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.193733 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.380277 \\ +23 & 1833 & 96 & 2 & 10719 & NaN & 0.273547 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.194307 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.280069 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.540437 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.249270 \\ +50 & 1833 & 106 & 2 & 50619 & NaN & 0.153367 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.230379 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.280597 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 1.650528 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 4.248120 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.719812 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & NaN & 0.165716 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.156838 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.160188 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.232253 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.159496 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 5.369421 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.214101 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.189628 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & NaN & 0.214986 & NaN & NaN \\ +247 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +248 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.180473 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.182165 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.185306 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.234159 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.226086 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.195471 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.275635 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.188768 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.266352 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 0.190004 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 0.237684 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.223706 \\ +82 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.130341 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.183910 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & NaN & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +134 & 1833 & 168 & 4 & 120619 & NaN & 0.145593 & NaN & 0.245015 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.197584 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.231154 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +255 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.223762 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.209157 \\ +83 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +27 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 0.286616 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 0.240621 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 0.188125 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.297008 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 0.264462 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.308976 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.257825 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 0.209154 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 0.244157 & NaN & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.253327 \\ +85 & 1833 & 212 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +87 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +557 & 1833 & 216 & 5 & 290519 & NaN & NaN & NaN & 0.266736 \\ +558 & 1833 & 217 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.269311 \\ +30 & 1833 & 219 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 0.304593 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 0.242803 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 0.276080 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.266777 \\ +52 & 1833 & 230 & 6 & 50619 & NaN & 0.177060 & NaN & NaN \\ +53 & 1833 & 231 & 6 & 50619 & NaN & 0.206694 & NaN & NaN \\ +54 & 1833 & 232 & 6 & 50619 & NaN & 0.215111 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & NaN & 0.220686 & NaN & NaN \\ +396 & 1833 & 234 & 6 & 50619 & NaN & 0.157380 & NaN & NaN \\ +397 & 1833 & 235 & 6 & 50619 & NaN & 0.188002 & NaN & NaN \\ +398 & 1833 & 236 & 6 & 50619 & NaN & 0.266130 & NaN & NaN \\ +580 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 0.240787 \\ +790 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.253194 \\ +791 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.330467 \\ +8 & 1833 & 243 & 6 & 260619 & NaN & 0.218894 & NaN & NaN \\ +404 & 1833 & 244 & 6 & 120619 & NaN & 0.163237 & NaN & NaN \\ +581 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +582 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +764 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.252861 \\ +765 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.294815 \\ +766 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.313239 \\ +256 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +257 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +258 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +259 & 1833 & 253 & 6 & 200619 & NaN & 0.220540 & NaN & 0.238522 \\ +462 & 1833 & 254 & 6 & 200619 & NaN & 0.243902 & NaN & NaN \\ +463 & 1833 & 255 & 6 & 200619 & NaN & 0.323515 & NaN & NaN \\ +464 & 1833 & 256 & 6 & 200619 & NaN & 0.187920 & NaN & NaN \\ +465 & 1833 & 257 & 6 & 200619 & NaN & 0.199630 & NaN & NaN \\ +658 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +720 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.333044 \\ +721 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.269657 \\ +722 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.294635 \\ +723 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.262785 \\ +9 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 0.271342 \\ +10 & 1833 & 264 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +312 & 1833 & 266 & 6 & 260619 & NaN & 0.238794 & NaN & NaN \\ +313 & 1833 & 267 & 6 & 260619 & NaN & 0.260386 & NaN & NaN \\ +314 & 1833 & 268 & 6 & 260619 & NaN & 0.203497 & NaN & NaN \\ +315 & 1833 & 269 & 6 & 260619 & NaN & 0.231093 & NaN & NaN \\ +649 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +758 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 0.297720 \\ +759 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 0.367564 \\ +760 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 0.284226 \\ +761 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.239460 \\ +762 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.271502 \\ +88 & 1833 & 276 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +89 & 1833 & 277 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +90 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +91 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +92 & 1833 & 280 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +93 & 1833 & 281 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +94 & 1833 & 282 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +477 & 1833 & 283 & 6 & 290519 & NaN & 0.267865 & NaN & NaN \\ +559 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +562 & 1833 & 287 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +563 & 1833 & 288 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +564 & 1833 & 289 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +771 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.288866 \\ +772 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.331537 \\ +773 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.316775 \\ +34 & 1833 & 293 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +35 & 1833 & 294 & 7 & 10719 & NaN & 0.191603 & NaN & NaN \\ +36 & 1833 & 295 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +519 & 1833 & 296 & 7 & 10719 & NaN & 0.199324 & NaN & NaN \\ +520 & 1833 & 297 & 7 & 10719 & NaN & 0.210564 & NaN & NaN \\ +399 & 1833 & 298 & 7 & 50619 & NaN & 0.241106 & NaN & NaN \\ +792 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 0.332973 \\ +405 & 1833 & 301 & 7 & 120619 & NaN & 0.226282 & NaN & NaN \\ +583 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +767 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 0.295143 \\ +260 & 1833 & 304 & 7 & 200619 & NaN & 0.196118 & NaN & 0.293246 \\ +466 & 1833 & 305 & 7 & 200619 & NaN & 0.152289 & NaN & NaN \\ +467 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +659 & 1833 & 307 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 308 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +650 & 1833 & 309 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +651 & 1833 & 310 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +763 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 0.370864 \\ +95 & 1833 & 312 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +96 & 1833 & 313 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +97 & 1833 & 314 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +98 & 1833 & 315 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +99 & 1833 & 316 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +100 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +565 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +774 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.232198 \\ +775 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.249556 \\ +776 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 0.244303 \\ +117 & 1834 & 327 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +118 & 1834 & 328 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +378 & 1834 & 329 & 0 & 10319 & NaN & 0.222840 & NaN & NaN \\ +379 & 1834 & 330 & 0 & 10319 & NaN & 0.280586 & NaN & NaN \\ +105 & 1834 & 332 & 0 & 110319 & NaN & 0.308914 & NaN & NaN \\ +184 & 1834 & 333 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +185 & 1834 & 334 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +186 & 1834 & 335 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +187 & 1834 & 336 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +188 & 1834 & 337 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +189 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +584 & 1834 & 339 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +106 & 1834 & 340 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +429 & 1834 & 341 & 0 & 110319 & NaN & 0.285595 & NaN & NaN \\ +197 & 1834 & 343 & 0 & 120319 & NaN & 0.305175 & NaN & 0.307854 \\ +527 & 1834 & 344 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +165 & 1834 & 345 & 0 & 220319 & NaN & 0.308899 & NaN & 0.289373 \\ +166 & 1834 & 346 & 0 & 220319 & NaN & NaN & NaN & NaN \\ +119 & 1834 & 347 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +380 & 1834 & 348 & 1 & 10319 & NaN & 0.234884 & NaN & NaN \\ +622 & 1834 & 349 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +406 & 1834 & 350 & 1 & 60319 & NaN & 0.186179 & NaN & NaN \\ +198 & 1834 & 351 & 1 & 120319 & NaN & NaN & NaN & NaN \\ +302 & 1834 & 352 & 1 & 120319 & NaN & 0.196664 & NaN & NaN \\ +407 & 1834 & 353 & 2 & 60319 & NaN & 0.281505 & NaN & NaN \\ +303 & 1834 & 354 & 2 & 120319 & NaN & 0.177892 & NaN & NaN \\ +304 & 1834 & 355 & 2 & 120319 & NaN & 0.196964 & NaN & NaN \\ +602 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +167 & 1834 & 357 & 2 & 220319 & NaN & 0.266772 & NaN & NaN \\ +168 & 1834 & 358 & 2 & 220319 & NaN & 0.197853 & NaN & NaN \\ +169 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +710 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.233364 \\ +120 & 1834 & 361 & 3 & 10319 & NaN & 0.203004 & NaN & NaN \\ +121 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +122 & 1834 & 363 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +381 & 1834 & 364 & 3 & 10319 & NaN & 0.342024 & NaN & NaN \\ +623 & 1834 & 365 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +624 & 1834 & 366 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +724 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 0.254381 \\ +725 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 0.246502 \\ +190 & 1834 & 369 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +191 & 1834 & 370 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +192 & 1834 & 371 & 3 & 60319 & NaN & 0.312094 & NaN & 0.267168 \\ +408 & 1834 & 372 & 3 & 60319 & NaN & 0.228834 & NaN & NaN \\ +747 & 1834 & 373 & 3 & 60319 & NaN & NaN & NaN & 0.174349 \\ +430 & 1834 & 374 & 3 & 110319 & NaN & 0.297062 & NaN & NaN \\ +199 & 1834 & 376 & 3 & 120319 & NaN & 0.316779 & NaN & NaN \\ +305 & 1834 & 377 & 3 & 120319 & NaN & 0.193500 & NaN & NaN \\ +672 & 1834 & 378 & 3 & 120319 & NaN & NaN & NaN & 0.314207 \\ +56 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +327 & 1834 & 380 & 3 & 150319 & NaN & 0.299845 & NaN & NaN \\ +328 & 1834 & 381 & 3 & 150319 & NaN & 0.292004 & NaN & 0.314682 \\ +528 & 1834 & 382 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +698 & 1834 & 383 & 3 & 150319 & NaN & NaN & NaN & 0.277786 \\ +170 & 1834 & 384 & 3 & 220319 & NaN & 0.249534 & NaN & 0.257909 \\ +123 & 1834 & 385 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +124 & 1834 & 386 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +382 & 1834 & 387 & 4 & 10319 & NaN & 0.216318 & NaN & NaN \\ +383 & 1834 & 388 & 4 & 10319 & NaN & 0.207232 & NaN & NaN \\ +384 & 1834 & 389 & 4 & 10319 & NaN & 0.217194 & NaN & NaN \\ +385 & 1834 & 390 & 4 & 10319 & NaN & 0.174637 & NaN & NaN \\ +625 & 1834 & 391 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +626 & 1834 & 392 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +627 & 1834 & 393 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +603 & 1834 & 399 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +604 & 1834 & 400 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +171 & 1834 & 402 & 4 & 220319 & NaN & 0.188407 & NaN & NaN \\ +606 & 1834 & 404 & 4 & 220319 & NaN & NaN & NaN & 0.268145 \\ +711 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 0.232183 \\ +712 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 0.250286 \\ +713 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 0.306101 \\ +125 & 1834 & 408 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +126 & 1834 & 409 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +386 & 1834 & 410 & 5 & 10319 & NaN & 0.296720 & NaN & NaN \\ +387 & 1834 & 411 & 5 & 10319 & NaN & 0.252310 & NaN & NaN \\ +628 & 1834 & 412 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +726 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 0.272790 \\ +727 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 0.261722 \\ +193 & 1834 & 415 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +409 & 1834 & 416 & 5 & 60319 & NaN & 0.166915 & NaN & NaN \\ +410 & 1834 & 417 & 5 & 60319 & NaN & 0.187460 & NaN & 0.208740 \\ +585 & 1834 & 418 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +586 & 1834 & 419 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +748 & 1834 & 420 & 5 & 60319 & NaN & NaN & NaN & 0.239684 \\ +749 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 0.273758 \\ +108 & 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& NaN & NaN \\ +750 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 0.283293 \\ +751 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 0.298245 \\ +110 & 1834 & 459 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +111 & 1834 & 460 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +433 & 1834 & 461 & 6 & 110319 & NaN & 0.245481 & NaN & NaN \\ +434 & 1834 & 462 & 6 & 110319 & NaN & 0.252606 & NaN & NaN \\ +435 & 1834 & 464 & 6 & 110319 & NaN & 0.142167 & NaN & NaN \\ +436 & 1834 & 465 & 6 & 110319 & NaN & 0.156676 & NaN & NaN \\ +201 & 1834 & 472 & 6 & 120319 & NaN & 0.256879 & NaN & 0.286003 \\ +330 & 1834 & 473 & 6 & 150319 & NaN & 0.250739 & NaN & 0.333123 \\ +331 & 1834 & 474 & 6 & 150319 & NaN & 0.233145 & NaN & NaN \\ +531 & 1834 & 475 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +532 & 1834 & 476 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +704 & 1834 & 477 & 6 & 150319 & NaN & NaN & NaN & 0.282191 \\ +174 & 1834 & 478 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +175 & 1834 & 479 & 6 & 220319 & NaN & NaN & NaN & NaN \\ 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& 7 & 10319 & NaN & 0.308636 & NaN & NaN \\ +631 & 1834 & 497 & 7 & 10319 & NaN & NaN & NaN & 0.335972 \\ +632 & 1834 & 498 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +633 & 1834 & 499 & 7 & 10319 & NaN & NaN & NaN & 0.354593 \\ +729 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 0.286346 \\ +730 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 0.340646 \\ +195 & 1834 & 502 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +196 & 1834 & 503 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +415 & 1834 & 504 & 7 & 60319 & NaN & 0.195298 & NaN & NaN \\ +416 & 1834 & 505 & 7 & 60319 & NaN & 0.204765 & NaN & NaN \\ +417 & 1834 & 506 & 7 & 60319 & NaN & 0.206291 & NaN & 0.260903 \\ +418 & 1834 & 507 & 7 & 60319 & NaN & 0.189061 & NaN & 0.224675 \\ +419 & 1834 & 508 & 7 & 60319 & NaN & 0.175788 & NaN & 0.228030 \\ +588 & 1834 & 509 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +752 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 0.215790 \\ +753 & 1834 & 511 & 7 & 60319 & NaN & NaN & NaN & 0.165896 \\ +113 & 1834 & 512 & 7 & 110319 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+549,1849,912,6,280219,,,, +550,1849,913,6,280219,,,, +551,1849,914,6,280219,,,, +552,1849,915,6,280219,,,, +684,1849,916,6,280219,,,,0.635228745935948 +685,1849,917,6,280219,,,,0.700756011261638 +686,1849,918,7,280219,,,,0.048445706901149466 +163,1849,922,7,60319,,,, +164,1849,923,7,60319,,,, +426,1849,924,7,60319,,0.5230709517986099,, +427,1849,925,7,60319,,0.8421431245328179,, +428,1849,926,7,60319,,0.5835493968785167,, +526,1849,928,7,60319,,,, +737,1849,929,7,60319,,,,0.5889725348750378 +221,1849,930,7,150319,,,, +279,1849,931,7,280219,,,, +280,1849,932,7,280219,,,, +281,1849,933,7,280219,,,, +374,1849,934,7,280219,,0.09797316249226433,, +375,1849,935,7,280219,,0.00283094911407944,, +376,1849,936,7,280219,,0.7977780842046439,, +377,1849,937,7,280219,,0.6802507826301998,, +553,1849,938,7,280219,,,, +554,1849,939,7,280219,,,, +687,1849,940,7,280219,,,,0.10864157576504806 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_p_max.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_p_max.tex new file mode 100644 index 000000000..59311aa6a --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_p_max.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.100054 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 0.473948 \\ +15 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & NaN & 0.310034 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & NaN & 0.419223 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.462731 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.294671 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & NaN & 0.248919 & NaN & 0.467019 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.537157 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.099111 & NaN & 0.690062 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.566047 & NaN & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.402277 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.338384 \\ +131 & 1833 & 21 & 0 & 120619 & NaN & 0.489452 & NaN & NaN \\ +251 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.210519 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.333751 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.153335 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.008711 \\ +1 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.438200 & NaN & 0.097647 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.539471 & NaN & 0.215479 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.138901 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & NaN & 0.313341 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.525455 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 0.268440 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.060226 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.219433 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.367523 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +243 & 1833 & 58 & 1 & 20719 & NaN & 0.408692 & NaN & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.264108 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.271731 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.592943 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.292607 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.590648 \\ +132 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.759912 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 0.310073 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 0.612864 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 0.784954 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 0.448312 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.326361 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.046614 \\ +81 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.278601 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.595233 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.400555 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.114039 \\ +23 & 1833 & 96 & 2 & 10719 & NaN & 0.712926 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.367899 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.161422 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.003407 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.565734 \\ +50 & 1833 & 106 & 2 & 50619 & NaN & 0.281440 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.484289 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.667494 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.042857 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.001557 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.005644 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & NaN & 0.165915 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.243052 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.157923 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.389810 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.021944 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.000634 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.254004 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.414212 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & NaN & 0.494638 & NaN & NaN \\ +247 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +248 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.300496 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.174378 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.305425 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.390948 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.096748 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.059217 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.721177 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.568290 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.547597 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 0.464404 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 0.282102 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.235433 \\ +82 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.186779 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.038662 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.005765 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +134 & 1833 & 168 & 4 & 120619 & NaN & 0.230923 & NaN & 0.311741 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.202128 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.579361 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +255 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.530875 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.011855 \\ +83 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +27 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 0.473728 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 0.588903 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 0.354284 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.777640 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 0.584078 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.809486 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.554754 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 0.537889 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 0.617466 & NaN & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.441316 \\ +85 & 1833 & 212 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +87 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +557 & 1833 & 216 & 5 & 290519 & NaN & NaN & NaN & 0.551922 \\ +558 & 1833 & 217 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.601924 \\ +30 & 1833 & 219 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 0.572520 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 0.554336 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 0.764445 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.684948 \\ +52 & 1833 & 230 & 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NaN & NaN & NaN & 0.809925 \\ +256 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +257 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +258 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +259 & 1833 & 253 & 6 & 200619 & NaN & 0.335286 & NaN & 0.197872 \\ +462 & 1833 & 254 & 6 & 200619 & NaN & 0.643394 & NaN & NaN \\ +463 & 1833 & 255 & 6 & 200619 & NaN & 0.843276 & NaN & NaN \\ +464 & 1833 & 256 & 6 & 200619 & NaN & 0.415568 & NaN & NaN \\ +465 & 1833 & 257 & 6 & 200619 & NaN & 0.264288 & NaN & NaN \\ +658 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +720 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.878283 \\ +721 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.682071 \\ +722 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.790838 \\ +723 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.725377 \\ +9 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 0.630896 \\ +10 & 1833 & 264 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN 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NaN \\ +797 & 1849 & 883 & 5 & 220319 & NaN & NaN & NaN & 0.585650 \\ +798 & 1849 & 884 & 5 & 220319 & NaN & NaN & NaN & 0.176634 \\ +799 & 1849 & 885 & 5 & 220319 & NaN & NaN & NaN & 0.410806 \\ +800 & 1849 & 886 & 5 & 220319 & NaN & NaN & NaN & 0.468089 \\ +274 & 1849 & 887 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +371 & 1849 & 888 & 5 & 280219 & NaN & 0.767541 & NaN & NaN \\ +548 & 1849 & 889 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +146 & 1849 & 892 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +147 & 1849 & 894 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +162 & 1849 & 900 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +735 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 0.618096 \\ +736 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 0.173228 \\ +275 & 1849 & 903 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +276 & 1849 & 904 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +277 & 1849 & 905 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +278 & 1849 & 906 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +372 & 1849 & 909 & 6 & 280219 & NaN & 0.764000 & NaN & NaN \\ +373 & 1849 & 910 & 6 & 280219 & NaN & 0.713179 & NaN & NaN \\ +549 & 1849 & 912 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +550 & 1849 & 913 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +551 & 1849 & 914 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +552 & 1849 & 915 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +684 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 0.635229 \\ +685 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.700756 \\ +686 & 1849 & 918 & 7 & 280219 & NaN & NaN & NaN & 0.048446 \\ +163 & 1849 & 922 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +164 & 1849 & 923 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +426 & 1849 & 924 & 7 & 60319 & NaN & 0.523071 & NaN & NaN \\ +427 & 1849 & 925 & 7 & 60319 & NaN & 0.842143 & NaN & NaN \\ +428 & 1849 & 926 & 7 & 60319 & NaN & 0.583549 & NaN & NaN \\ +526 & 1849 & 928 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +737 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.588973 \\ +221 & 1849 & 930 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +279 & 1849 & 931 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +280 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +281 & 1849 & 933 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +374 & 1849 & 934 & 7 & 280219 & NaN & 0.097973 & NaN & NaN \\ +375 & 1849 & 935 & 7 & 280219 & NaN & 0.002831 & NaN & NaN \\ +376 & 1849 & 936 & 7 & 280219 & NaN & 0.797778 & NaN & NaN \\ +377 & 1849 & 937 & 7 & 280219 & NaN & 0.680251 & NaN & NaN \\ +553 & 1849 & 938 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +554 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +687 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.108642 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.csv new file mode 100644 index 000000000..1daeced82 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.csv @@ -0,0 +1,764 @@ 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+575,1849,872,5,150319,,,, +746,1849,873,5,150319,,,,1.5468302922852062 +47,1849,874,5,220319,,,, +48,1849,875,5,220319,,,, +49,1849,876,5,220319,,,, +323,1849,877,5,220319,,6.103114049790415,, +324,1849,878,5,220319,,10.342056690403998,, +325,1849,879,5,220319,,3.3977824797868394,, +618,1849,880,5,220319,,,, +619,1849,881,5,220319,,,, +620,1849,882,5,220319,,,, +797,1849,883,5,220319,,,,18.506844592515225 +798,1849,884,5,220319,,,,1.6990084514684223 +799,1849,885,5,220319,,,,9.053469362021636 +800,1849,886,5,220319,,,,10.229988730204234 +274,1849,887,5,280219,,,, +371,1849,888,5,280219,,3.66193831534102,, +548,1849,889,5,280219,,,, +146,1849,892,6,10319,,,, +147,1849,894,6,10319,,,, +162,1849,900,6,60319,,,, +735,1849,901,6,60319,,,,22.89268978498499 +736,1849,902,6,60319,,,,2.275459991712531 +275,1849,903,6,280219,,,, +276,1849,904,6,280219,,,, +277,1849,905,6,280219,,,, +278,1849,906,6,280219,,,, +372,1849,909,6,280219,,4.056685512940494,, +373,1849,910,6,280219,,3.729344792005187,, +549,1849,912,6,280219,,,, +550,1849,913,6,280219,,,, +551,1849,914,6,280219,,,, +552,1849,915,6,280219,,,, +684,1849,916,6,280219,,,,4.61732821153276 +685,1849,917,6,280219,,,,5.788873159468771 +686,1849,918,7,280219,,,,1.7414490107880976 +163,1849,922,7,60319,,,, +164,1849,923,7,60319,,,, +426,1849,924,7,60319,,4.727778980554349,, +427,1849,925,7,60319,,6.252596105773774,, +428,1849,926,7,60319,,8.256614705372668,, +526,1849,928,7,60319,,,, +737,1849,929,7,60319,,,,11.919346412906767 +221,1849,930,7,150319,,,, +279,1849,931,7,280219,,,, +280,1849,932,7,280219,,,, +281,1849,933,7,280219,,,, +374,1849,934,7,280219,,1.748020405112265,, +375,1849,935,7,280219,,0.021154633038123732,, +376,1849,936,7,280219,,6.0809108452603144,, +377,1849,937,7,280219,,5.176063973616605,, +553,1849,938,7,280219,,,, +554,1849,939,7,280219,,,, +687,1849,940,7,280219,,,,0.5710327594128548 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.tex new file mode 100644 index 000000000..c8d555c30 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_strength.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & NaN & NaN & NaN & 0.871968 \\ +0 & 1833 & 1 & 0 & 260619 & NaN & NaN & NaN & 20.543101 \\ +15 & 1833 & 2 & 0 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & NaN & 6.699169 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & NaN & 3.814757 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 5.629737 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 5.788411 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & NaN & 4.552619 & NaN & 11.221821 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 13.869414 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 2.511387 & NaN & 12.630805 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 25.419721 & NaN & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 7.315039 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 1.363760 \\ +131 & 1833 & 21 & 0 & 120619 & NaN & 4.213812 & NaN & NaN \\ +251 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 13.938604 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 8.678039 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 2.277177 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.256116 \\ +1 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 20.580107 & NaN & 7.191088 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 8.378154 & NaN & 11.274514 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 4.196382 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & NaN & 13.009816 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 21.245055 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & NaN & NaN & NaN & 5.214916 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 1.473698 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 5.697975 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 8.908555 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +243 & 1833 & 58 & 1 & 20719 & NaN & 11.181074 & NaN & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 17.351060 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 8.521671 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 8.584744 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 8.157731 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 4.043004 \\ +132 & 1833 & 72 & 1 & 120619 & NaN & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & NaN & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 7.875408 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & NaN & 3.477307 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 5.504615 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 5.668966 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & NaN & 10.980221 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 9.909917 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.844801 \\ +81 & 1833 & 87 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 9.061485 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 8.113344 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 14.815014 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.745404 \\ +23 & 1833 & 96 & 2 & 10719 & NaN & 10.928153 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 7.371207 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 2.105659 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.058654 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 9.307214 \\ +50 & 1833 & 106 & 2 & 50619 & NaN & 16.132502 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 4.593060 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 8.556852 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.250761 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.006570 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.030304 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & NaN & 2.899018 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 7.209975 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 5.228426 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 10.666869 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.917762 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.038569 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 9.816493 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 7.364827 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & NaN & 6.641221 & NaN & NaN \\ +247 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +248 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 7.295438 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 6.319757 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 5.116425 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 4.904950 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 2.413726 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 2.168406 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 11.849759 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 15.096319 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 16.662113 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 8.877910 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & NaN & 18.804514 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 5.074255 \\ +82 & 1833 & 156 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 7.707052 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 1.721964 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.023312 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +134 & 1833 & 168 & 4 & 120619 & NaN & 11.144803 & NaN & 9.486149 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 4.523918 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 13.130596 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +255 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 16.724271 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.132250 \\ +83 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +27 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 8.483684 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 6.418187 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 9.333183 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 13.528652 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 26.626088 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 5.237900 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 4.717826 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 7.763299 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 7.211756 & NaN & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 27.654868 \\ +85 & 1833 & 212 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +87 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +557 & 1833 & 216 & 5 & 290519 & NaN & NaN & NaN & 4.617017 \\ +558 & 1833 & 217 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 4.572845 \\ +30 & 1833 & 219 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & NaN & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 7.961612 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 6.395620 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & NaN & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & NaN & 4.814738 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 10.156562 \\ +52 & 1833 & 230 & 6 & 50619 & NaN & 5.213010 & NaN & NaN \\ +53 & 1833 & 231 & 6 & 50619 & NaN & 10.524990 & NaN & NaN \\ +54 & 1833 & 232 & 6 & 50619 & NaN & 23.345833 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & NaN & 10.596812 & NaN & NaN \\ +396 & 1833 & 234 & 6 & 50619 & NaN & 7.726685 & NaN & NaN \\ +397 & 1833 & 235 & 6 & 50619 & NaN & 23.441980 & NaN & NaN \\ +398 & 1833 & 236 & 6 & 50619 & NaN & 5.947160 & NaN & NaN \\ +580 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 12.887882 \\ +790 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 12.452091 \\ +791 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 13.651106 \\ +8 & 1833 & 243 & 6 & 260619 & NaN & 9.820015 & NaN & NaN \\ +404 & 1833 & 244 & 6 & 120619 & NaN & 12.992649 & NaN & NaN \\ +581 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +582 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +764 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 13.490942 \\ +765 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 11.718434 \\ +766 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 9.809087 \\ +256 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +257 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +258 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +259 & 1833 & 253 & 6 & 200619 & NaN & 5.565965 & NaN & 5.927165 \\ +462 & 1833 & 254 & 6 & 200619 & NaN & 19.962701 & NaN & NaN \\ +463 & 1833 & 255 & 6 & 200619 & NaN & 17.639458 & NaN & NaN \\ +464 & 1833 & 256 & 6 & 200619 & NaN & 22.454730 & NaN & NaN \\ +465 & 1833 & 257 & 6 & 200619 & NaN & 6.819597 & NaN & NaN \\ +658 & 1833 & 258 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +720 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 25.139967 \\ +721 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 8.539432 \\ +722 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 16.556990 \\ +723 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 18.489085 \\ +9 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 19.205048 \\ +10 & 1833 & 264 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +312 & 1833 & 266 & 6 & 260619 & NaN & 31.639103 & NaN & NaN \\ +313 & 1833 & 267 & 6 & 260619 & NaN & 16.499460 & NaN & NaN \\ +314 & 1833 & 268 & 6 & 260619 & NaN & 17.960963 & NaN & NaN \\ +315 & 1833 & 269 & 6 & 260619 & NaN & 35.665425 & NaN & NaN \\ +649 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +758 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 17.119365 \\ +759 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 45.329926 \\ +760 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 34.368759 \\ +761 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 4.074432 \\ +762 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 21.128878 \\ +88 & 1833 & 276 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +89 & 1833 & 277 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +90 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +91 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +92 & 1833 & 280 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +93 & 1833 & 281 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +94 & 1833 & 282 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +477 & 1833 & 283 & 6 & 290519 & NaN & 4.298803 & NaN & NaN \\ +559 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +560 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +561 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +562 & 1833 & 287 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +563 & 1833 & 288 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +564 & 1833 & 289 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +771 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 19.805941 \\ +772 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 11.811683 \\ +773 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 38.380326 \\ +34 & 1833 & 293 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +35 & 1833 & 294 & 7 & 10719 & NaN & 3.614274 & NaN & NaN \\ +36 & 1833 & 295 & 7 & 10719 & NaN & NaN & NaN & NaN \\ +519 & 1833 & 296 & 7 & 10719 & NaN & 7.129220 & NaN & NaN \\ +520 & 1833 & 297 & 7 & 10719 & NaN & 4.560336 & NaN & NaN \\ +399 & 1833 & 298 & 7 & 50619 & NaN & 26.325561 & NaN & NaN \\ +792 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 13.415300 \\ +405 & 1833 & 301 & 7 & 120619 & NaN & 18.420624 & NaN & NaN \\ +583 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +767 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 23.008938 \\ +260 & 1833 & 304 & 7 & 200619 & NaN & 15.744403 & NaN & 36.694881 \\ +466 & 1833 & 305 & 7 & 200619 & NaN & 0.635749 & NaN & NaN \\ +467 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +659 & 1833 & 307 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 308 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +650 & 1833 & 309 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +651 & 1833 & 310 & 7 & 260619 & NaN & NaN & NaN & NaN \\ +763 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 42.007374 \\ +95 & 1833 & 312 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +96 & 1833 & 313 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +97 & 1833 & 314 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +98 & 1833 & 315 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +99 & 1833 & 316 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +100 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +565 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +774 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 7.467946 \\ +775 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 33.862426 \\ +776 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 8.924082 \\ +117 & 1834 & 327 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +118 & 1834 & 328 & 0 & 10319 & NaN & NaN & NaN & NaN \\ +378 & 1834 & 329 & 0 & 10319 & NaN & 0.742105 & NaN & NaN \\ +379 & 1834 & 330 & 0 & 10319 & NaN & 0.756300 & NaN & NaN \\ +105 & 1834 & 332 & 0 & 110319 & NaN & 5.631022 & NaN & NaN \\ +184 & 1834 & 333 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +185 & 1834 & 334 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +186 & 1834 & 335 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +187 & 1834 & 336 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +188 & 1834 & 337 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +189 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +584 & 1834 & 339 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +106 & 1834 & 340 & 0 & 110319 & NaN & NaN & NaN & NaN \\ +429 & 1834 & 341 & 0 & 110319 & NaN & 5.326146 & NaN & NaN \\ +197 & 1834 & 343 & 0 & 120319 & NaN & 9.665647 & NaN & 9.290291 \\ +527 & 1834 & 344 & 0 & 150319 & NaN & NaN & NaN & NaN \\ +165 & 1834 & 345 & 0 & 220319 & NaN & 6.933672 & NaN & 8.917845 \\ +166 & 1834 & 346 & 0 & 220319 & NaN & NaN & NaN & NaN \\ +119 & 1834 & 347 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +380 & 1834 & 348 & 1 & 10319 & NaN & 25.662802 & NaN & NaN \\ +622 & 1834 & 349 & 1 & 10319 & NaN & NaN & NaN & NaN \\ +406 & 1834 & 350 & 1 & 60319 & NaN & 11.038633 & NaN & NaN \\ +198 & 1834 & 351 & 1 & 120319 & NaN & NaN & NaN & NaN \\ +302 & 1834 & 352 & 1 & 120319 & NaN & 4.264350 & NaN & NaN \\ +407 & 1834 & 353 & 2 & 60319 & NaN & 8.541664 & NaN & NaN \\ +303 & 1834 & 354 & 2 & 120319 & NaN & 12.138605 & NaN & NaN \\ +304 & 1834 & 355 & 2 & 120319 & NaN & 3.579485 & NaN & NaN \\ +602 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +167 & 1834 & 357 & 2 & 220319 & NaN & 15.041653 & NaN & NaN \\ +168 & 1834 & 358 & 2 & 220319 & NaN & 18.049791 & NaN & NaN \\ +169 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +710 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 18.007246 \\ +120 & 1834 & 361 & 3 & 10319 & NaN & 11.536134 & NaN & NaN \\ +121 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +122 & 1834 & 363 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +381 & 1834 & 364 & 3 & 10319 & NaN & 7.236998 & NaN & NaN \\ +623 & 1834 & 365 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +624 & 1834 & 366 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +724 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 21.511196 \\ +725 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 17.005604 \\ +190 & 1834 & 369 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +191 & 1834 & 370 & 3 & 60319 & NaN & NaN & NaN & NaN \\ +192 & 1834 & 371 & 3 & 60319 & NaN & 4.697725 & NaN & 16.715942 \\ +408 & 1834 & 372 & 3 & 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& NaN & 14.989355 & NaN & NaN \\ +385 & 1834 & 390 & 4 & 10319 & NaN & 8.264486 & NaN & NaN \\ +625 & 1834 & 391 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +626 & 1834 & 392 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +627 & 1834 & 393 & 4 & 10319 & NaN & NaN & NaN & NaN \\ +603 & 1834 & 399 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +604 & 1834 & 400 & 4 & 120319 & NaN & NaN & NaN & NaN \\ +171 & 1834 & 402 & 4 & 220319 & NaN & 4.604259 & NaN & NaN \\ +606 & 1834 & 404 & 4 & 220319 & NaN & NaN & NaN & 15.846304 \\ +711 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 7.081708 \\ +712 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 18.539919 \\ +713 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 21.632081 \\ +125 & 1834 & 408 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +126 & 1834 & 409 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +386 & 1834 & 410 & 5 & 10319 & NaN & 4.077659 & NaN & NaN \\ +387 & 1834 & 411 & 5 & 10319 & NaN & 8.858428 & NaN & NaN \\ +628 & 1834 & 412 & 5 & 10319 & NaN & NaN & NaN & NaN \\ +726 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 10.493268 \\ +727 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 11.356734 \\ +193 & 1834 & 415 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +409 & 1834 & 416 & 5 & 60319 & NaN & 1.439543 & NaN & NaN \\ +410 & 1834 & 417 & 5 & 60319 & NaN & 1.505005 & NaN & 3.507731 \\ +585 & 1834 & 418 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +586 & 1834 & 419 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +748 & 1834 & 420 & 5 & 60319 & NaN & NaN & NaN & 24.004489 \\ +749 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 16.592000 \\ +108 & 1834 & 422 & 5 & 110319 & NaN & NaN & NaN & NaN \\ +109 & 1834 & 423 & 5 & 110319 & NaN & 5.809823 & NaN & NaN \\ +431 & 1834 & 424 & 5 & 110319 & NaN & 2.379703 & NaN & NaN \\ +432 & 1834 & 425 & 5 & 110319 & NaN & 3.503278 & NaN & NaN \\ +200 & 1834 & 428 & 5 & 120319 & NaN & 6.732194 & NaN & 19.090625 \\ +605 & 1834 & 429 & 5 & 120319 & NaN & NaN & NaN & NaN \\ +673 & 1834 & 430 & 5 & 120319 & NaN & NaN & NaN & 10.965597 \\ +674 & 1834 & 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42.239376 & NaN & NaN \\ +389 & 1834 & 448 & 6 & 10319 & NaN & 10.069986 & NaN & NaN \\ +629 & 1834 & 449 & 6 & 10319 & NaN & NaN & NaN & 15.404852 \\ +630 & 1834 & 450 & 6 & 10319 & NaN & NaN & NaN & 31.067360 \\ +728 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 12.899712 \\ +411 & 1834 & 452 & 6 & 60319 & NaN & 11.988369 & NaN & NaN \\ +412 & 1834 & 453 & 6 & 60319 & NaN & 19.876075 & NaN & NaN \\ +413 & 1834 & 454 & 6 & 60319 & NaN & 21.859535 & NaN & NaN \\ +414 & 1834 & 455 & 6 & 60319 & NaN & 18.980574 & NaN & 17.835428 \\ +587 & 1834 & 456 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +750 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 29.616536 \\ +751 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 17.792383 \\ +110 & 1834 & 459 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +111 & 1834 & 460 & 6 & 110319 & NaN & NaN & NaN & NaN \\ +433 & 1834 & 461 & 6 & 110319 & NaN & 21.643335 & NaN & NaN \\ +434 & 1834 & 462 & 6 & 110319 & NaN & 21.083041 & NaN & NaN \\ +435 & 1834 & 464 & 6 & 110319 & NaN & 1.719663 & NaN & NaN \\ +436 & 1834 & 465 & 6 & 110319 & NaN & 23.623175 & NaN & NaN \\ +201 & 1834 & 472 & 6 & 120319 & NaN & 11.129561 & NaN & 14.390466 \\ +330 & 1834 & 473 & 6 & 150319 & NaN & 8.563794 & NaN & 24.980763 \\ +331 & 1834 & 474 & 6 & 150319 & NaN & 13.423241 & NaN & NaN \\ +531 & 1834 & 475 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +532 & 1834 & 476 & 6 & 150319 & NaN & NaN & NaN & NaN \\ +704 & 1834 & 477 & 6 & 150319 & NaN & NaN & NaN & 20.823424 \\ +174 & 1834 & 478 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +175 & 1834 & 479 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +176 & 1834 & 480 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +177 & 1834 & 481 & 6 & 220319 & NaN & NaN & NaN & NaN \\ +293 & 1834 & 482 & 6 & 220319 & NaN & 7.980408 & NaN & NaN \\ +294 & 1834 & 483 & 6 & 220319 & NaN & 11.389462 & NaN & NaN \\ +295 & 1834 & 484 & 6 & 220319 & NaN & 8.256561 & NaN & NaN \\ +296 & 1834 & 485 & 6 & 220319 & NaN & 14.784787 & NaN & NaN \\ +297 & 1834 & 486 & 6 & 220319 & NaN & 13.606450 & NaN & NaN \\ +607 & 1834 & 487 & 6 & 220319 & NaN & NaN & NaN & 17.669063 \\ +608 & 1834 & 488 & 6 & 220319 & NaN & NaN & NaN & 21.051544 \\ +609 & 1834 & 489 & 6 & 220319 & NaN & NaN & NaN & 13.596331 \\ +129 & 1834 & 490 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +130 & 1834 & 491 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +390 & 1834 & 492 & 7 & 10319 & NaN & 3.687274 & NaN & NaN \\ +391 & 1834 & 493 & 7 & 10319 & NaN & 25.023257 & NaN & NaN \\ +392 & 1834 & 494 & 7 & 10319 & NaN & 8.464265 & NaN & NaN \\ +393 & 1834 & 495 & 7 & 10319 & NaN & 18.787542 & NaN & NaN \\ +394 & 1834 & 496 & 7 & 10319 & NaN & 3.671280 & NaN & NaN \\ +631 & 1834 & 497 & 7 & 10319 & NaN & NaN & NaN & 26.459125 \\ +632 & 1834 & 498 & 7 & 10319 & NaN & NaN & NaN & NaN \\ +633 & 1834 & 499 & 7 & 10319 & NaN & NaN & NaN & 31.586092 \\ +729 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 21.913343 \\ +730 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 26.726558 \\ +195 & 1834 & 502 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +196 & 1834 & 503 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +415 & 1834 & 504 & 7 & 60319 & NaN & 2.362587 & NaN & NaN \\ +416 & 1834 & 505 & 7 & 60319 & NaN & 6.554053 & NaN & NaN \\ +417 & 1834 & 506 & 7 & 60319 & NaN & 11.561466 & NaN & 26.696621 \\ +418 & 1834 & 507 & 7 & 60319 & NaN & 2.498630 & NaN & 10.023638 \\ +419 & 1834 & 508 & 7 & 60319 & NaN & 2.187946 & NaN & 10.310497 \\ +588 & 1834 & 509 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +752 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 5.829726 \\ +753 & 1834 & 511 & 7 & 60319 & NaN & NaN & NaN & 3.207299 \\ +113 & 1834 & 512 & 7 & 110319 & NaN & 1.987673 & NaN & NaN \\ +114 & 1834 & 513 & 7 & 110319 & NaN & NaN & NaN & NaN \\ +115 & 1834 & 514 & 7 & 110319 & NaN & 14.535530 & NaN & NaN \\ +116 & 1834 & 515 & 7 & 110319 & NaN & NaN & NaN & NaN \\ +437 & 1834 & 516 & 7 & 110319 & NaN & 1.525366 & NaN & NaN \\ +438 & 1834 & 517 & 7 & 110319 & NaN & 3.323214 & NaN & NaN \\ +439 & 1834 & 518 & 7 & 110319 & NaN & 1.453672 & NaN & NaN \\ +440 & 1834 & 519 & 7 & 110319 & NaN & 3.163652 & NaN & NaN \\ +441 & 1834 & 520 & 7 & 110319 & NaN & 2.444509 & NaN & NaN \\ +202 & 1834 & 527 & 7 & 120319 & NaN & 1.736056 & NaN & 11.797041 \\ +203 & 1834 & 528 & 7 & 120319 & NaN & NaN & NaN & NaN \\ +306 & 1834 & 529 & 7 & 120319 & NaN & 4.018508 & NaN & 4.097877 \\ +307 & 1834 & 530 & 7 & 120319 & NaN & 5.720566 & NaN & NaN \\ +61 & 1834 & 531 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +62 & 1834 & 532 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +63 & 1834 & 533 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +64 & 1834 & 534 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +65 & 1834 & 535 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +66 & 1834 & 536 & 7 & 150319 & NaN & NaN & NaN & NaN \\ +332 & 1834 & 537 & 7 & 150319 & NaN & 3.344768 & NaN & NaN \\ +333 & 1834 & 538 & 7 & 150319 & NaN & 7.623079 & NaN & NaN \\ +334 & 1834 & 539 & 7 & 150319 & NaN & 0.767502 & NaN & NaN \\ +335 & 1834 & 540 & 7 & 150319 & NaN & 2.401401 & NaN & NaN \\ +336 & 1834 & 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\\ +70 & 1839 & 580 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +635 & 1839 & 581 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +636 & 1839 & 582 & 3 & 120619 & NaN & NaN & NaN & NaN \\ +660 & 1839 & 583 & 3 & 120619 & NaN & NaN & NaN & 0.148481 \\ +101 & 1839 & 584 & 3 & 200619 & NaN & NaN & NaN & NaN \\ +488 & 1839 & 585 & 3 & 200619 & NaN & 0.123188 & NaN & NaN \\ +204 & 1839 & 586 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +282 & 1839 & 587 & 4 & 60619 & NaN & 2.603147 & NaN & NaN \\ +566 & 1839 & 588 & 4 & 60619 & NaN & NaN & NaN & NaN \\ +777 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 16.229796 \\ +479 & 1839 & 590 & 4 & 120619 & NaN & 1.815641 & NaN & NaN \\ +637 & 1839 & 591 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +638 & 1839 & 592 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +661 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 5.639689 \\ +662 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 4.785128 \\ +663 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 38.629678 \\ +664 & 1839 & 596 & 4 & 120619 & 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file mode 100644 index 000000000..70660feb9 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_stim_vec_len.csv @@ -0,0 +1,764 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +237,1833,0,0,20719,,,,0.11170568970510772 +0,1833,1,0,260619,,,,0.18815239560878566 +15,1833,2,0,10719,,,, +16,1833,3,0,10719,,0.14963233886573754,, +17,1833,4,0,10719,,0.4058358326603516,, +501,1833,6,0,10719,,0.30416707185627884,, +502,1833,7,0,10719,,0.24729572149971954,, +238,1833,8,0,20719,,,, +239,1833,9,0,20719,,,, +240,1833,10,0,20719,,0.04747956887787903,,0.1426690865978009 +442,1833,12,0,20719,,0.08558224677764546,, +443,1833,13,0,20719,,0.07208789695695192,,0.2294629324442268 +444,1833,14,0,20719,,0.17579253914274154,, +589,1833,15,0,20719,,,, +590,1833,16,0,20719,,,, +591,1833,17,0,20719,,,, +688,1833,18,0,20719,,,,0.14820253928767527 +781,1833,20,0,60619,,,,0.2189068104486156 +131,1833,21,0,120619,,0.4700678510284733,, 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& 10719 & NaN & 0.257098 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.556661 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.007245 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.183388 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.159235 \\ +50 & 1833 & 106 & 2 & 50619 & NaN & 0.226514 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & NaN & NaN & NaN & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.316691 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.411517 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.174136 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.100862 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.331475 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & NaN & 0.198290 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.415193 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.478318 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.109942 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.254379 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.266326 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.115156 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.241277 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & NaN & 0.183971 & NaN & NaN \\ +247 & 1833 & 131 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +248 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.127553 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.131503 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.148171 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +693 & 1833 & 138 & 3 & 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0.200494 & NaN & 0.225579 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.107740 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.238321 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & NaN & NaN \\ +255 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.172961 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.046759 \\ +83 & 1833 & 178 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +27 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 0.391645 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 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+553,1849,938,7,280219,,,3.4281403203961758, +554,1849,939,7,280219,,,3.3376338172820383, +687,1849,940,7,280219,,,,4.825021617314651 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_ang.tex new file mode 100644 index 000000000..fb2db26d2 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_ang.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & 3.482781 & NaN & 3.483769 & 5.528602 \\ +0 & 1833 & 1 & 0 & 260619 & 3.666623 & NaN & 3.473120 & 2.705479 \\ +15 & 1833 & 2 & 0 & 10719 & 2.945079 & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & 6.153669 & 0.313144 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & 3.481535 & 3.459196 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 4.307562 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 4.207207 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 6.106845 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 3.407536 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 4.065784 & 0.425439 & 3.871936 & 4.179700 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 3.233444 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 5.581640 & 6.244293 & 6.070208 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 5.077084 & 3.429184 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 3.745112 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 3.478024 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 3.569579 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 5.491820 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 6.179627 \\ +131 & 1833 & 21 & 0 & 120619 & 3.581836 & 0.330383 & 3.770230 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 3.971873 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 2.757737 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.110613 & 4.911899 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 4.274528 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 2.891813 \\ +1 & 1833 & 30 & 0 & 260619 & 3.540121 & NaN & 3.407938 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 3.253081 & 5.772882 & 3.191072 & 2.177327 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 5.478447 & 3.891785 & 1.476340 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 6.246247 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 3.019804 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 3.882869 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 3.839627 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 3.741151 & 4.201548 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 3.689311 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 3.862949 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 4.679092 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 3.907931 & NaN & 3.663828 & 2.178561 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.917019 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 5.119317 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 4.602916 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & 3.777769 & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & 3.944093 & NaN & 3.819192 & NaN \\ +243 & 1833 & 58 & 1 & 20719 & 4.068655 & 5.678025 & 4.175024 & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 4.622336 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & 3.603367 & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 4.561696 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.532261 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.843943 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 2.933962 \\ +132 & 1833 & 72 & 1 & 120619 & 3.668071 & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & 3.908753 & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 6.064886 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & 3.730762 & 3.100482 \\ +3 & 1833 & 78 & 1 & 260619 & 3.836710 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 4.030610 & 5.447964 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 4.900821 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & 3.562097 & 4.132793 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & 4.071854 & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 3.265809 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.505622 \\ +81 & 1833 & 87 & 1 & 290519 & 3.456967 & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.596666 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 5.947512 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 1.232063 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & 3.772264 & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 2.273019 \\ +23 & 1833 & 96 & 2 & 10719 & 3.890530 & 4.151718 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 4.362943 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 4.695501 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 3.175038 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & 2.941935 & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 5.380165 \\ +50 & 1833 & 106 & 2 & 50619 & 3.631614 & 0.072850 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & 3.654107 & NaN & 3.585883 & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 1.375039 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 5.261635 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 4.831215 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 4.761609 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 3.837323 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & 3.693704 & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & 3.839551 & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & 3.351334 & 4.119117 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 6.139993 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 4.942607 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 4.667381 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 1.985144 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 2.567711 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.100361 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 2.425151 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & 3.826401 & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & 3.893364 & 3.940694 & 3.752009 & NaN \\ +247 & 1833 & 131 & 3 & 20719 & 4.140775 & NaN & 3.860330 & NaN \\ +248 & 1833 & 132 & 3 & 20719 & 4.515217 & NaN & 4.210399 & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 4.990445 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.091068 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 4.833473 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & 3.658144 & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.950436 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 2.377109 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 4.193659 \\ +401 & 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0.336702 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & 3.715673 & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & 3.178870 & NaN \\ +255 & 1833 & 174 & 4 & 200619 & 0.810726 & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 5.745025 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & 3.853671 & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 5.443245 \\ +83 & 1833 & 178 & 4 & 290519 & 3.975757 & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & 3.636374 & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & 3.206905 & NaN \\ +27 & 1833 & 185 & 5 & 10719 & 3.920001 & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & 4.378967 & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & 4.276352 & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 5.085854 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & 4.067122 & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 3.021953 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 4.300399 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & 3.931899 & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 3.690782 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & 4.359324 & 6.092342 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 1.917919 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 4.813978 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 2.121799 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & 3.573190 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 3.963393 & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 5.720675 & 4.198502 & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & 3.848708 & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 2.424985 \\ +85 & 1833 & 212 & 5 & 290519 & 3.473111 & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & 3.436817 & NaN & NaN & NaN \\ +87 & 1833 & 214 & 5 & 290519 & 3.567508 & NaN & NaN & NaN \\ +557 & 1833 & 216 & 5 & 290519 & NaN & NaN & 3.564577 & 4.556544 \\ +558 & 1833 & 217 & 5 & 290519 & NaN & NaN & 3.075104 & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 4.609234 \\ +30 & 1833 & 219 & 6 & 10719 & 3.721053 & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & 4.047198 & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & 3.531864 & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & 1.814710 & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 4.867185 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & 3.545239 & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 4.800581 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & 3.452463 & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & 3.335446 & 5.491001 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 5.009959 \\ +52 & 1833 & 230 & 6 & 50619 & 1.986142 & 3.426808 & NaN & NaN \\ +53 & 1833 & 231 & 6 & 50619 & 3.773857 & 6.057066 & NaN & NaN \\ +54 & 1833 & 232 & 6 & 50619 & 3.690526 & 1.236331 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & 4.125700 & 1.812877 & NaN & NaN \\ +579 & 1833 & 234 & 6 & 120619 & NaN & NaN & 4.405574 & 2.167314 \\ +397 & 1833 & 235 & 6 & 50619 & NaN & 5.647950 & NaN & NaN \\ +398 & 1833 & 236 & 6 & 50619 & NaN & 1.843981 & NaN & NaN \\ +580 & 1833 & 240 & 6 & 120619 & NaN & NaN & 3.260569 & 0.290942 \\ +790 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 2.209924 \\ +791 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 2.833005 \\ +8 & 1833 & 243 & 6 & 260619 & 4.168856 & 5.376960 & 4.336405 & NaN \\ +404 & 1833 & 244 & 6 & 120619 & NaN & 1.692451 & 3.866978 & NaN \\ +581 & 1833 & 245 & 6 & 120619 & NaN & NaN & 3.881350 & NaN \\ +582 & 1833 & 246 & 6 & 120619 & NaN & NaN & 3.308980 & NaN \\ +764 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 3.102437 \\ +765 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 1.975350 \\ +766 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 2.927804 \\ +256 & 1833 & 250 & 6 & 200619 & 3.574307 & NaN & 3.479673 & NaN \\ +257 & 1833 & 251 & 6 & 200619 & 3.475153 & NaN & NaN & NaN \\ +258 & 1833 & 252 & 6 & 200619 & 4.200773 & NaN & NaN & NaN \\ +259 & 1833 & 253 & 6 & 200619 & 4.801042 & 0.798879 & 5.140889 & 3.918659 \\ +462 & 1833 & 254 & 6 & 200619 & NaN & 0.033217 & NaN & NaN \\ +463 & 1833 & 255 & 6 & 200619 & NaN & 0.634063 & NaN & NaN \\ +464 & 1833 & 256 & 6 & 200619 & NaN & 0.098386 & NaN & NaN \\ +465 & 1833 & 257 & 6 & 200619 & NaN & 0.533803 & NaN & NaN \\ +658 & 1833 & 258 & 6 & 200619 & NaN & NaN & 3.779682 & NaN \\ +720 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 1.052157 \\ +721 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.417570 \\ +722 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 1.570065 \\ +723 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.749114 \\ +9 & 1833 & 263 & 6 & 260619 & 3.998667 & NaN & NaN & 6.259379 \\ +10 & 1833 & 264 & 6 & 260619 & 3.970381 & NaN & NaN & NaN \\ +11 & 1833 & 265 & 6 & 260619 & 3.833954 & NaN & NaN & NaN \\ +312 & 1833 & 266 & 6 & 260619 & NaN & 5.399648 & NaN & NaN \\ +313 & 1833 & 267 & 6 & 260619 & NaN & 5.132417 & NaN & NaN \\ +314 & 1833 & 268 & 6 & 260619 & NaN & 5.923545 & NaN & NaN \\ +315 & 1833 & 269 & 6 & 260619 & NaN & 5.474875 & NaN & NaN \\ +649 & 1833 & 270 & 6 & 260619 & NaN & NaN & 3.719043 & NaN \\ +758 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 2.060433 \\ +759 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 5.153670 \\ +760 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 4.174761 \\ +761 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.592317 \\ +762 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 3.988140 \\ +88 & 1833 & 276 & 6 & 290519 & 3.627291 & NaN & NaN & NaN \\ +89 & 1833 & 277 & 6 & 290519 & 3.648211 & NaN & NaN & NaN \\ +90 & 1833 & 278 & 6 & 290519 & 3.717936 & NaN & NaN & NaN \\ +91 & 1833 & 279 & 6 & 290519 & 3.832781 & NaN & NaN & NaN \\ +92 & 1833 & 280 & 6 & 290519 & 4.107046 & NaN & NaN & NaN \\ +93 & 1833 & 281 & 6 & 290519 & 4.179892 & NaN & NaN & NaN \\ +94 & 1833 & 282 & 6 & 290519 & 3.969499 & NaN & NaN & NaN \\ +477 & 1833 & 283 & 6 & 290519 & NaN & 0.238736 & NaN & NaN \\ +559 & 1833 & 284 & 6 & 290519 & NaN & NaN & 3.418419 & NaN \\ +560 & 1833 & 285 & 6 & 290519 & NaN & NaN & 3.494895 & NaN \\ +561 & 1833 & 286 & 6 & 290519 & NaN & NaN & 3.721620 & NaN \\ +562 & 1833 & 287 & 6 & 290519 & NaN & NaN & 3.388285 & NaN \\ +563 & 1833 & 288 & 6 & 290519 & NaN & NaN & 2.345119 & NaN \\ +564 & 1833 & 289 & 6 & 290519 & NaN & NaN & 3.051183 & NaN \\ +771 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 2.431910 \\ +772 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 2.699372 \\ +773 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 1.789371 \\ +34 & 1833 & 293 & 7 & 10719 & 1.938953 & NaN & NaN & NaN \\ +35 & 1833 & 294 & 7 & 10719 & 0.602251 & 4.681445 & NaN & NaN \\ +36 & 1833 & 295 & 7 & 10719 & 5.376113 & NaN & NaN & NaN \\ +519 & 1833 & 296 & 7 & 10719 & NaN & 5.899934 & NaN & NaN \\ +520 & 1833 & 297 & 7 & 10719 & NaN & 1.783272 & NaN & NaN \\ +399 & 1833 & 298 & 7 & 50619 & NaN & 2.281582 & NaN & NaN \\ +792 & 1833 & 300 & 7 & 60619 & NaN & NaN & NaN & 2.422430 \\ +405 & 1833 & 301 & 7 & 120619 & NaN & 1.571792 & NaN & NaN \\ +583 & 1833 & 302 & 7 & 120619 & NaN & NaN & 2.975135 & NaN \\ +767 & 1833 & 303 & 7 & 120619 & NaN & NaN & NaN & 4.851804 \\ +260 & 1833 & 304 & 7 & 200619 & 0.292307 & 4.245765 & 0.638980 & 3.195617 \\ +466 & 1833 & 305 & 7 & 200619 & NaN & 1.709320 & NaN & NaN \\ +467 & 1833 & 306 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +659 & 1833 & 307 & 7 & 200619 & NaN & NaN & 5.733062 & NaN \\ +12 & 1833 & 308 & 7 & 260619 & 4.731783 & NaN & NaN & NaN \\ +650 & 1833 & 309 & 7 & 260619 & NaN & NaN & 0.478140 & NaN \\ +651 & 1833 & 310 & 7 & 260619 & NaN & NaN & 3.223105 & NaN \\ +763 & 1833 & 311 & 7 & 260619 & NaN & NaN & NaN & 2.114681 \\ +95 & 1833 & 312 & 7 & 290519 & 2.872950 & NaN & NaN & NaN \\ +96 & 1833 & 313 & 7 & 290519 & 6.217379 & NaN & NaN & NaN \\ +97 & 1833 & 314 & 7 & 290519 & 3.649257 & NaN & NaN & NaN \\ +98 & 1833 & 315 & 7 & 290519 & 3.891408 & NaN & NaN & NaN \\ +99 & 1833 & 316 & 7 & 290519 & 1.448366 & NaN & NaN & NaN \\ +100 & 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120319 & NaN & 0.231647 & NaN & NaN \\ +602 & 1834 & 356 & 2 & 120319 & NaN & NaN & 4.314352 & NaN \\ +167 & 1834 & 357 & 2 & 220319 & 4.407617 & 1.941977 & 4.348501 & NaN \\ +168 & 1834 & 358 & 2 & 220319 & 4.289290 & 2.072099 & 4.210503 & NaN \\ +169 & 1834 & 359 & 2 & 220319 & 4.461622 & NaN & NaN & NaN \\ +710 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 1.812910 \\ +120 & 1834 & 361 & 3 & 10319 & 3.603171 & 3.386956 & NaN & NaN \\ +121 & 1834 & 362 & 3 & 10319 & 3.911962 & NaN & NaN & NaN \\ +122 & 1834 & 363 & 3 & 10319 & 3.888136 & NaN & NaN & NaN \\ +381 & 1834 & 364 & 3 & 10319 & NaN & 2.694145 & NaN & NaN \\ +623 & 1834 & 365 & 3 & 10319 & NaN & NaN & 3.519312 & NaN \\ +624 & 1834 & 366 & 3 & 10319 & NaN & NaN & 3.661990 & NaN \\ +724 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 5.707683 \\ +725 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 2.920446 \\ +190 & 1834 & 369 & 3 & 60319 & 3.984100 & NaN & NaN & NaN \\ +191 & 1834 & 370 & 3 & 60319 & 4.050093 & NaN & NaN & NaN \\ 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& 387 & 4 & 10319 & NaN & 2.896019 & NaN & NaN \\ +383 & 1834 & 388 & 4 & 10319 & NaN & 0.629835 & NaN & NaN \\ +384 & 1834 & 389 & 4 & 10319 & NaN & 1.890824 & NaN & NaN \\ +385 & 1834 & 390 & 4 & 10319 & NaN & 3.975830 & NaN & NaN \\ +625 & 1834 & 391 & 4 & 10319 & NaN & NaN & 0.791445 & NaN \\ +626 & 1834 & 392 & 4 & 10319 & NaN & NaN & 0.634857 & NaN \\ +627 & 1834 & 393 & 4 & 10319 & NaN & NaN & 2.039980 & NaN \\ +603 & 1834 & 399 & 4 & 120319 & NaN & NaN & 3.612399 & NaN \\ +604 & 1834 & 400 & 4 & 120319 & NaN & NaN & 2.037186 & NaN \\ +171 & 1834 & 402 & 4 & 220319 & 3.755531 & 0.053937 & NaN & NaN \\ +606 & 1834 & 404 & 4 & 220319 & NaN & NaN & 3.547499 & 1.126156 \\ +711 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 2.768939 \\ +712 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 0.267334 \\ +713 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 1.520314 \\ +125 & 1834 & 408 & 5 & 10319 & 3.640533 & NaN & NaN & NaN \\ +126 & 1834 & 409 & 5 & 10319 & 3.443745 & NaN & NaN & NaN \\ 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0.060001 & NaN & NaN \\ +200 & 1834 & 428 & 5 & 120319 & 3.779995 & 5.087027 & 3.668526 & 4.722336 \\ +605 & 1834 & 429 & 5 & 120319 & NaN & NaN & 3.677636 & NaN \\ +673 & 1834 & 430 & 5 & 120319 & NaN & NaN & NaN & 0.900008 \\ +674 & 1834 & 431 & 5 & 120319 & NaN & NaN & NaN & 1.222184 \\ +57 & 1834 & 432 & 5 & 150319 & 3.937948 & NaN & NaN & NaN \\ +58 & 1834 & 433 & 5 & 150319 & 3.561284 & NaN & NaN & NaN \\ +59 & 1834 & 434 & 5 & 150319 & 3.870897 & NaN & NaN & NaN \\ +60 & 1834 & 435 & 5 & 150319 & 3.804347 & NaN & NaN & NaN \\ +329 & 1834 & 436 & 5 & 150319 & NaN & 5.656131 & NaN & NaN \\ +529 & 1834 & 437 & 5 & 150319 & NaN & NaN & 3.412598 & 0.442564 \\ +530 & 1834 & 438 & 5 & 150319 & NaN & NaN & 3.711681 & NaN \\ +699 & 1834 & 439 & 5 & 150319 & NaN & NaN & NaN & 1.878606 \\ +700 & 1834 & 440 & 5 & 150319 & NaN & NaN & NaN & 4.723474 \\ +701 & 1834 & 441 & 5 & 150319 & NaN & NaN & NaN & 4.249305 \\ +702 & 1834 & 442 & 5 & 150319 & NaN & NaN & NaN & 3.165445 \\ +703 & 1834 & 443 & 5 & 150319 & NaN & NaN & NaN & 5.817529 \\ +172 & 1834 & 444 & 5 & 220319 & 4.016315 & NaN & NaN & NaN \\ +127 & 1834 & 445 & 6 & 10319 & 1.476906 & NaN & NaN & NaN \\ +128 & 1834 & 446 & 6 & 10319 & 0.463902 & 2.021221 & NaN & NaN \\ +388 & 1834 & 447 & 6 & 10319 & NaN & 3.256110 & NaN & NaN \\ +389 & 1834 & 448 & 6 & 10319 & NaN & 2.115586 & NaN & NaN \\ +629 & 1834 & 449 & 6 & 10319 & NaN & NaN & 1.913775 & 3.527134 \\ +630 & 1834 & 450 & 6 & 10319 & NaN & NaN & 0.472429 & 4.819608 \\ +728 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 5.409367 \\ +411 & 1834 & 452 & 6 & 60319 & NaN & 6.080208 & 0.786579 & NaN \\ +412 & 1834 & 453 & 6 & 60319 & NaN & 1.250264 & 0.128271 & NaN \\ +413 & 1834 & 454 & 6 & 60319 & NaN & 0.965648 & NaN & NaN \\ +414 & 1834 & 455 & 6 & 60319 & NaN & 6.159269 & 6.077669 & 2.441021 \\ +587 & 1834 & 456 & 6 & 60319 & NaN & NaN & 0.076837 & NaN \\ +750 & 1834 & 457 & 6 & 60319 & NaN & NaN & NaN & 2.633477 \\ +751 & 1834 & 458 & 6 & 60319 & NaN & NaN & NaN & 3.566063 \\ +110 & 1834 & 459 & 6 & 110319 & 6.122990 & NaN & NaN & NaN \\ +111 & 1834 & 460 & 6 & 110319 & 3.086517 & NaN & NaN & NaN \\ +433 & 1834 & 461 & 6 & 110319 & NaN & 6.154026 & NaN & NaN \\ +434 & 1834 & 462 & 6 & 110319 & NaN & 0.476567 & NaN & NaN \\ +435 & 1834 & 464 & 6 & 110319 & NaN & 6.134804 & NaN & NaN \\ +436 & 1834 & 465 & 6 & 110319 & NaN & 3.884716 & NaN & NaN \\ +201 & 1834 & 472 & 6 & 120319 & 3.155672 & 4.659920 & 3.035412 & 3.956282 \\ +330 & 1834 & 473 & 6 & 150319 & NaN & 3.213925 & 0.654389 & 6.033154 \\ +331 & 1834 & 474 & 6 & 150319 & NaN & 4.560283 & NaN & NaN \\ +531 & 1834 & 475 & 6 & 150319 & NaN & NaN & 1.380139 & NaN \\ +532 & 1834 & 476 & 6 & 150319 & NaN & NaN & 1.207198 & NaN \\ +704 & 1834 & 477 & 6 & 150319 & NaN & NaN & NaN & 5.455727 \\ +174 & 1834 & 478 & 6 & 220319 & 3.339396 & NaN & NaN & NaN \\ +175 & 1834 & 479 & 6 & 220319 & 3.430039 & NaN & NaN & NaN \\ +176 & 1834 & 480 & 6 & 220319 & 3.624837 & NaN & NaN & NaN \\ +177 & 1834 & 481 & 6 & 220319 & 5.727734 & NaN & NaN & NaN \\ +293 & 1834 & 482 & 6 & 220319 & NaN & 4.772719 & NaN & NaN \\ +294 & 1834 & 483 & 6 & 220319 & NaN & 1.021234 & NaN & NaN \\ +295 & 1834 & 484 & 6 & 220319 & NaN & 1.765352 & NaN & NaN \\ +296 & 1834 & 485 & 6 & 220319 & NaN & 0.020390 & NaN & NaN \\ +297 & 1834 & 486 & 6 & 220319 & NaN & 0.865994 & NaN & NaN \\ +607 & 1834 & 487 & 6 & 220319 & NaN & NaN & 3.331690 & 2.766858 \\ +608 & 1834 & 488 & 6 & 220319 & NaN & NaN & 3.724832 & 2.392986 \\ +609 & 1834 & 489 & 6 & 220319 & NaN & NaN & 3.752878 & 2.542290 \\ +129 & 1834 & 490 & 7 & 10319 & 5.866416 & NaN & NaN & NaN \\ +130 & 1834 & 491 & 7 & 10319 & 3.009275 & NaN & NaN & NaN \\ +390 & 1834 & 492 & 7 & 10319 & NaN & 2.239066 & NaN & NaN \\ +391 & 1834 & 493 & 7 & 10319 & NaN & 1.643468 & NaN & NaN \\ +392 & 1834 & 494 & 7 & 10319 & NaN & 1.939236 & NaN & NaN \\ +393 & 1834 & 495 & 7 & 10319 & NaN & 3.693246 & NaN & NaN \\ +394 & 1834 & 496 & 7 & 10319 & NaN & 2.783435 & NaN & NaN \\ +631 & 1834 & 497 & 7 & 10319 & NaN & NaN & 3.107327 & 3.455996 \\ +632 & 1834 & 498 & 7 & 10319 & NaN & NaN & 5.824805 & NaN \\ +633 & 1834 & 499 & 7 & 10319 & NaN & NaN & 2.426626 & 3.358735 \\ +729 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 2.006992 \\ +730 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 4.064539 \\ +195 & 1834 & 502 & 7 & 60319 & 3.114776 & NaN & NaN & NaN \\ +196 & 1834 & 503 & 7 & 60319 & 2.918676 & NaN & NaN & NaN \\ +415 & 1834 & 504 & 7 & 60319 & NaN & 6.269388 & NaN & NaN \\ +416 & 1834 & 505 & 7 & 60319 & NaN & 5.534655 & 3.625339 & NaN \\ +417 & 1834 & 506 & 7 & 60319 & NaN & 6.042576 & 1.314122 & 1.447407 \\ +418 & 1834 & 507 & 7 & 60319 & NaN & 0.068772 & 3.166325 & 5.025154 \\ +419 & 1834 & 508 & 7 & 60319 & NaN & 0.983045 & 3.294632 & 4.267649 \\ +588 & 1834 & 509 & 7 & 60319 & NaN & NaN & 3.405788 & NaN \\ +752 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 5.639129 \\ +112 & 1834 & 511 & 7 & 110319 & 3.215492 & NaN & NaN & NaN \\ +113 & 1834 & 512 & 7 & 110319 & 3.297480 & 1.938256 & NaN & NaN \\ +114 & 1834 & 513 & 7 & 110319 & 3.205562 & NaN & NaN & NaN \\ +115 & 1834 & 514 & 7 & 110319 & 6.216651 & 5.628497 & NaN & NaN \\ +116 & 1834 & 515 & 7 & 110319 & 3.130160 & NaN & NaN & NaN \\ +437 & 1834 & 516 & 7 & 110319 & NaN & 4.855224 & NaN & NaN \\ +438 & 1834 & 517 & 7 & 110319 & NaN & 0.484672 & NaN & NaN \\ +439 & 1834 & 518 & 7 & 110319 & NaN & 0.522429 & NaN & NaN \\ +440 & 1834 & 519 & 7 & 110319 & NaN & 4.943046 & NaN & NaN \\ +441 & 1834 & 520 & 7 & 110319 & NaN & 2.763283 & NaN & NaN \\ +202 & 1834 & 527 & 7 & 120319 & 3.154904 & 4.975549 & 3.153627 & 5.900075 \\ +203 & 1834 & 528 & 7 & 120319 & 3.159221 & NaN & NaN & NaN \\ +306 & 1834 & 529 & 7 & 120319 & NaN & 3.899805 & 3.145162 & 6.231120 \\ +307 & 1834 & 530 & 7 & 120319 & NaN & 5.583118 & NaN & NaN \\ +61 & 1834 & 531 & 7 & 150319 & 3.507044 & NaN & NaN & NaN \\ +62 & 1834 & 532 & 7 & 150319 & 3.731885 & NaN & NaN & NaN \\ +63 & 1834 & 533 & 7 & 150319 & 3.474244 & NaN & 3.258671 & NaN \\ +64 & 1834 & 534 & 7 & 150319 & 3.599845 & NaN & 3.331992 & NaN \\ +65 & 1834 & 535 & 7 & 150319 & 3.273346 & NaN & NaN & NaN \\ +66 & 1834 & 536 & 7 & 150319 & 3.383035 & NaN & NaN & NaN \\ +332 & 1834 & 537 & 7 & 150319 & NaN & 4.367653 & NaN & NaN \\ +333 & 1834 & 538 & 7 & 150319 & NaN & 3.848038 & NaN & NaN \\ +334 & 1834 & 539 & 7 & 150319 & NaN & 2.491883 & NaN & NaN \\ +335 & 1834 & 540 & 7 & 150319 & NaN & 4.170352 & NaN & NaN \\ +336 & 1834 & 541 & 7 & 150319 & NaN & 6.231772 & NaN & NaN \\ +337 & 1834 & 542 & 7 & 150319 & NaN & 2.211758 & NaN & NaN \\ +533 & 1834 & 543 & 7 & 150319 & NaN & NaN & 3.151568 & NaN \\ +534 & 1834 & 544 & 7 & 150319 & NaN & NaN & 3.208895 & NaN \\ +535 & 1834 & 545 & 7 & 150319 & NaN & NaN & 3.190575 & NaN \\ +536 & 1834 & 546 & 7 & 150319 & NaN & NaN & 3.346655 & NaN \\ +537 & 1834 & 547 & 7 & 150319 & NaN & NaN & 3.302287 & NaN \\ +538 & 1834 & 548 & 7 & 150319 & NaN & NaN & 3.040512 & NaN \\ +539 & 1834 & 549 & 7 & 150319 & NaN & NaN & 3.201894 & NaN \\ +705 & 1834 & 550 & 7 & 150319 & NaN & NaN & NaN & 1.407399 \\ +706 & 1834 & 551 & 7 & 150319 & NaN & NaN & NaN & 4.242306 \\ +707 & 1834 & 552 & 7 & 150319 & NaN & NaN & NaN & 5.476722 \\ +708 & 1834 & 553 & 7 & 150319 & NaN & NaN & NaN & 3.098523 \\ +709 & 1834 & 554 & 7 & 150319 & NaN & NaN & NaN & 2.314029 \\ +178 & 1834 & 555 & 7 & 220319 & 3.468973 & NaN & NaN & NaN \\ +179 & 1834 & 556 & 7 & 220319 & 2.398961 & NaN & NaN & NaN \\ +180 & 1834 & 557 & 7 & 220319 & 2.487888 & NaN & NaN & NaN \\ +181 & 1834 & 558 & 7 & 220319 & 3.160018 & NaN & NaN & NaN \\ +182 & 1834 & 559 & 7 & 220319 & 3.263342 & NaN & NaN & NaN \\ +298 & 1834 & 560 & 7 & 220319 & NaN & 1.534506 & NaN & NaN \\ +299 & 1834 & 561 & 7 & 220319 & NaN & 5.793858 & 2.724265 & 3.394766 \\ +300 & 1834 & 562 & 7 & 220319 & NaN & 0.911028 & 3.521298 & NaN \\ +301 & 1834 & 563 & 7 & 220319 & NaN & 0.675388 & NaN & NaN \\ +610 & 1834 & 564 & 7 & 220319 & NaN & NaN & 3.389738 & NaN \\ 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& NaN \\ +282 & 1839 & 587 & 4 & 60619 & NaN & 5.789186 & NaN & NaN \\ +566 & 1839 & 588 & 4 & 60619 & NaN & NaN & 3.828380 & NaN \\ +777 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 1.401649 \\ +479 & 1839 & 590 & 4 & 120619 & NaN & 1.597453 & NaN & NaN \\ +637 & 1839 & 591 & 4 & 120619 & NaN & NaN & 3.749057 & NaN \\ +638 & 1839 & 592 & 4 & 120619 & NaN & NaN & 3.905699 & NaN \\ +661 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 1.433012 \\ +662 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 1.361641 \\ +663 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 1.082470 \\ +664 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 5.498876 \\ +102 & 1839 & 597 & 4 & 200619 & 3.839255 & NaN & NaN & NaN \\ +489 & 1839 & 598 & 4 & 200619 & NaN & 5.383938 & NaN & NaN \\ +490 & 1839 & 599 & 4 & 200619 & NaN & 0.079158 & NaN & NaN \\ +491 & 1839 & 600 & 4 & 200619 & NaN & 5.802258 & NaN & NaN \\ +71 & 1839 & 601 & 4 & 290519 & 3.929842 & NaN & NaN & NaN \\ +72 & 1839 & 602 & 4 & 290519 & 3.406415 & 0.388041 & NaN & NaN \\ +339 & 1839 & 603 & 4 & 290519 & NaN & 0.927131 & NaN & NaN \\ +283 & 1839 & 606 & 5 & 60619 & NaN & 4.499886 & NaN & 3.192372 \\ +567 & 1839 & 607 & 5 & 60619 & NaN & NaN & 3.674415 & NaN \\ +778 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 2.863987 \\ +67 & 1839 & 609 & 5 & 120619 & 3.805056 & NaN & NaN & NaN \\ +480 & 1839 & 610 & 5 & 120619 & NaN & 4.454457 & NaN & NaN \\ +481 & 1839 & 611 & 5 & 120619 & NaN & 4.840489 & NaN & NaN \\ +639 & 1839 & 612 & 5 & 120619 & NaN & NaN & 3.581888 & NaN \\ +103 & 1839 & 613 & 5 & 200619 & 3.851632 & NaN & NaN & NaN \\ +492 & 1839 & 614 & 5 & 200619 & NaN & 4.360239 & NaN & NaN \\ +73 & 1839 & 615 & 5 & 290519 & 3.323273 & NaN & NaN & NaN \\ +74 & 1839 & 616 & 5 & 290519 & 3.203659 & NaN & NaN & NaN \\ +340 & 1839 & 617 & 5 & 290519 & NaN & 5.463348 & NaN & NaN \\ +341 & 1839 & 618 & 5 & 290519 & NaN & 3.025061 & NaN & NaN \\ +342 & 1839 & 619 & 5 & 290519 & NaN & 2.662310 & NaN & NaN \\ +343 & 1839 & 620 & 5 & 290519 & NaN & 0.627658 & NaN & NaN \\ +284 & 1839 & 623 & 6 & 60619 & NaN & 5.339967 & NaN & NaN \\ +779 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 5.456429 \\ +780 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 3.820483 \\ +482 & 1839 & 629 & 6 & 120619 & NaN & 4.704786 & 4.176967 & 4.929269 \\ +483 & 1839 & 630 & 6 & 120619 & NaN & 0.484014 & NaN & NaN \\ +484 & 1839 & 631 & 6 & 120619 & NaN & 2.186918 & NaN & NaN \\ +640 & 1839 & 634 & 6 & 120619 & NaN & NaN & 3.529585 & NaN \\ +641 & 1839 & 635 & 6 & 120619 & NaN & NaN & 3.788820 & NaN \\ +665 & 1839 & 636 & 6 & 120619 & NaN & NaN & NaN & 4.341053 \\ +666 & 1839 & 637 & 6 & 120619 & NaN & NaN & NaN & 3.433379 \\ +667 & 1839 & 638 & 6 & 120619 & NaN & NaN & NaN & 1.052012 \\ +668 & 1839 & 639 & 6 & 120619 & NaN & NaN & NaN & 3.891246 \\ +669 & 1839 & 640 & 6 & 120619 & NaN & NaN & NaN & 3.318548 \\ +493 & 1839 & 643 & 6 & 200619 & NaN & 2.415034 & NaN & NaN \\ +494 & 1839 & 645 & 6 & 200619 & NaN & 4.888560 & NaN & NaN \\ +495 & 1839 & 647 & 6 & 200619 & NaN & 5.926532 & NaN & NaN \\ +496 & 1839 & 648 & 6 & 200619 & NaN & 0.330873 & NaN & NaN \\ +497 & 1839 & 650 & 6 & 200619 & NaN & 5.967360 & NaN & NaN \\ +75 & 1839 & 651 & 6 & 290519 & 3.461133 & NaN & NaN & NaN \\ +76 & 1839 & 652 & 6 & 290519 & 3.624090 & NaN & NaN & NaN \\ +344 & 1839 & 653 & 6 & 290519 & NaN & 0.142865 & NaN & NaN \\ +345 & 1839 & 654 & 6 & 290519 & NaN & 5.797665 & NaN & NaN \\ +205 & 1839 & 655 & 7 & 60619 & 3.867296 & 5.046994 & NaN & 2.085040 \\ +568 & 1839 & 656 & 7 & 60619 & NaN & NaN & 4.448620 & 1.511077 \\ +346 & 1839 & 657 & 7 & 290519 & NaN & 5.676465 & NaN & NaN \\ +68 & 1839 & 658 & 7 & 120619 & 3.802927 & NaN & NaN & NaN \\ +642 & 1839 & 659 & 7 & 120619 & NaN & NaN & 3.778122 & 5.089513 \\ +670 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 5.662760 \\ +104 & 1839 & 661 & 7 & 200619 & 3.939602 & NaN & NaN & NaN \\ +498 & 1839 & 662 & 7 & 200619 & NaN & 4.871697 & NaN & NaN \\ +499 & 1839 & 663 & 7 & 200619 & NaN & 2.686558 & NaN & NaN \\ +500 & 1839 & 664 & 7 & 200619 & NaN & 5.345705 & NaN & NaN \\ +77 & 1839 & 665 & 7 & 290519 & 3.572610 & NaN & NaN & NaN \\ +78 & 1839 & 666 & 7 & 290519 & 3.772313 & NaN & NaN & NaN \\ +79 & 1839 & 667 & 7 & 290519 & 5.535230 & NaN & NaN & NaN \\ +80 & 1839 & 668 & 7 & 290519 & 3.758889 & NaN & NaN & NaN \\ +347 & 1839 & 669 & 7 & 290519 & NaN & 6.067564 & NaN & NaN \\ +348 & 1839 & 670 & 7 & 290519 & NaN & 5.655454 & NaN & NaN \\ +349 & 1839 & 671 & 7 & 290519 & NaN & 3.038910 & NaN & NaN \\ +350 & 1839 & 672 & 7 & 290519 & NaN & 0.014955 & NaN & NaN \\ +149 & 1849 & 674 & 0 & 60319 & 3.226596 & NaN & NaN & NaN \\ +222 & 1849 & 675 & 0 & 110319 & 3.513417 & NaN & NaN & NaN \\ +285 & 1849 & 676 & 0 & 110319 & NaN & 3.758056 & NaN & NaN \\ +206 & 1849 & 677 & 0 & 150319 & 4.192869 & 1.911428 & 4.003980 & 2.073309 \\ +207 & 1849 & 678 & 0 & 150319 & 3.697267 & NaN & NaN & NaN \\ +351 & 1849 & 679 & 0 & 150319 & NaN & 2.364983 & NaN & NaN \\ +570 & 1849 & 680 & 0 & 150319 & NaN & NaN & 3.765912 & NaN \\ +738 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 3.622478 \\ +739 & 1849 & 682 & 0 & 150319 & NaN & NaN & NaN & 1.305249 \\ +37 & 1849 & 683 & 0 & 220319 & 3.824995 & NaN & 3.844035 & 2.359732 \\ +316 & 1849 & 684 & 0 & 220319 & NaN & 5.494836 & NaN & NaN \\ +261 & 1849 & 685 & 0 & 280219 & 2.778268 & NaN & NaN & NaN \\ +360 & 1849 & 686 & 0 & 280219 & NaN & 1.517093 & NaN & NaN \\ +540 & 1849 & 687 & 0 & 280219 & NaN & NaN & 3.375912 & NaN \\ +541 & 1849 & 688 & 0 & 280219 & NaN & NaN & 3.498133 & NaN \\ +675 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 1.736190 \\ +676 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 3.658607 \\ +137 & 1849 & 691 & 1 & 10319 & 3.746920 & NaN & NaN & NaN \\ +150 & 1849 & 699 & 1 & 60319 & 3.355469 & NaN & NaN & NaN \\ +151 & 1849 & 700 & 1 & 60319 & 4.111993 & NaN & NaN & NaN \\ +152 & 1849 & 701 & 1 & 60319 & 3.402987 & NaN & NaN & NaN \\ +153 & 1849 & 702 & 1 & 60319 & 3.331529 & NaN & NaN & NaN \\ +521 & 1849 & 703 & 1 & 60319 & NaN & NaN & 3.348139 & NaN \\ +522 & 1849 & 705 & 1 & 60319 & NaN & NaN & 5.419640 & NaN \\ +523 & 1849 & 706 & 1 & 60319 & NaN & NaN & 3.677778 & NaN \\ +524 & 1849 & 707 & 1 & 60319 & NaN & NaN & 3.452579 & NaN \\ +731 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 4.214156 \\ +223 & 1849 & 709 & 1 & 110319 & 3.274986 & NaN & NaN & NaN \\ +224 & 1849 & 710 & 1 & 110319 & 3.319643 & NaN & NaN & NaN \\ +225 & 1849 & 711 & 1 & 110319 & 3.480087 & NaN & NaN & NaN \\ +226 & 1849 & 712 & 1 & 110319 & 3.127327 & NaN & NaN & NaN \\ +227 & 1849 & 713 & 1 & 110319 & 3.386959 & NaN & NaN & NaN \\ +228 & 1849 & 714 & 1 & 110319 & 2.668279 & 4.083275 & NaN & NaN \\ +229 & 1849 & 715 & 1 & 110319 & 1.283094 & 4.726992 & NaN & NaN \\ +286 & 1849 & 716 & 1 & 110319 & NaN & 4.194924 & NaN & NaN \\ +287 & 1849 & 717 & 1 & 110319 & NaN & 4.395530 & NaN & NaN \\ +288 & 1849 & 718 & 1 & 110319 & NaN & 4.667844 & NaN & NaN \\ +208 & 1849 & 720 & 1 & 150319 & 3.558319 & 2.191602 & 3.530334 & NaN \\ 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+374,1849,934,7,280219,,0.046368476093629686,, +375,1849,935,7,280219,,0.1246330682439512,, +376,1849,936,7,280219,,0.26130492184448034,, +377,1849,937,7,280219,,0.12654328680568094,, +553,1849,938,7,280219,,,0.6660551030319708, +554,1849,939,7,280219,,,0.4878351330292862, +687,1849,940,7,280219,,,,0.19096525429404185 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_energy.tex new file mode 100644 index 000000000..097914c63 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_energy.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & 0.634015 & NaN & 0.644551 & 0.090949 \\ +0 & 1833 & 1 & 0 & 260619 & 0.312491 & NaN & 0.334630 & 0.023861 \\ +15 & 1833 & 2 & 0 & 10719 & 0.080248 & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & 0.337492 & 0.059982 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & 0.439634 & 0.138442 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.079314 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.062337 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 0.247208 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 0.204736 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 0.235818 & 0.058547 & 0.192371 & 0.051049 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.050004 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.036569 & 0.338768 & 0.038831 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.026233 & 0.480233 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.072548 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.086136 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.047231 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.078996 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.387703 \\ +131 & 1833 & 21 & 0 & 120619 & 0.287455 & 0.186143 & 0.234856 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 0.238366 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.020001 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.154484 & 0.047885 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.058156 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.038109 \\ +1 & 1833 & 30 & 0 & 260619 & 0.410790 & NaN & 0.371901 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 0.099333 & 0.029688 & 0.079638 & 0.020796 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.093046 & 0.107426 & 0.020525 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.081245 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.042891 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 0.166058 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 0.228797 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 0.047974 & 0.030171 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 0.578600 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 0.504546 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.037309 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 0.172656 & NaN & 0.622918 & 0.060395 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.041779 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.048348 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.026987 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & 0.574680 & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & 0.172849 & NaN & 0.096726 & NaN \\ +243 & 1833 & 58 & 1 & 20719 & 0.069115 & 0.023650 & 0.025224 & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.025001 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & 0.564050 & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.053894 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.133390 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.026784 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.201033 \\ +132 & 1833 & 72 & 1 & 120619 & 1.088465 & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & 0.740366 & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.117685 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & 0.854958 & 0.103280 \\ +3 & 1833 & 78 & 1 & 260619 & 0.426200 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.288600 & 0.113195 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 0.310974 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & 0.761096 & 0.049944 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & 0.062576 & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.028222 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.035405 \\ +81 & 1833 & 87 & 1 & 290519 & 0.192274 & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.039361 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.078972 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.027260 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & 0.809791 & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.171870 \\ +23 & 1833 & 96 & 2 & 10719 & 0.609700 & 0.063582 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.046234 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.077764 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.071191 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.136888 & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.074012 \\ +50 & 1833 & 106 & 2 & 50619 & 0.116904 & 0.019975 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & 1.241677 & NaN & 0.251571 & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.143336 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.123065 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.157177 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.281918 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.169699 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & 0.360683 & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & 0.288335 & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & 0.029989 & 0.067574 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.043678 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.023703 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.035882 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.020716 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.026548 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.027058 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.082620 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & 0.069722 & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & 0.427129 & 0.063760 & 0.361620 & NaN \\ +247 & 1833 & 131 & 3 & 20719 & 0.252138 & NaN & 0.379969 & NaN \\ +248 & 1833 & 132 & 3 & 20719 & 0.132687 & NaN & 0.058776 & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.044403 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.030893 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.066549 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.084623 & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.078434 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.042291 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.033141 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.116524 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & 0.135395 & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.045801 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.150880 & 0.026988 \\ +5 & 1833 & 150 & 3 & 260619 & 0.283741 & 0.090355 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.116236 & 0.022158 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.060142 \\ +82 & 1833 & 156 & 3 & 290519 & 0.113426 & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.028263 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.028243 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.435905 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.261800 & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.052794 & NaN \\ +134 & 1833 & 168 & 4 & 120619 & 0.032563 & 0.017372 & 0.039178 & 0.036138 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.031113 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.043369 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.132521 & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.022447 & NaN \\ +255 & 1833 & 174 & 4 & 200619 & 0.028140 & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.038990 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.105817 & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.201434 \\ +83 & 1833 & 178 & 4 & 290519 & 0.111934 & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & 0.332223 & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & 0.606036 & NaN \\ +27 & 1833 & 185 & 5 & 10719 & 0.439541 & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & 0.112281 & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & 0.167248 & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 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& 509 & 7 & 60319 & NaN & NaN & 0.507239 & NaN \\ +752 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 0.070129 \\ +112 & 1834 & 511 & 7 & 110319 & 0.640610 & NaN & NaN & NaN \\ +113 & 1834 & 512 & 7 & 110319 & 0.526171 & 0.365857 & NaN & NaN \\ +114 & 1834 & 513 & 7 & 110319 & 0.028767 & NaN & NaN & NaN \\ +115 & 1834 & 514 & 7 & 110319 & 0.053988 & 0.041180 & NaN & NaN \\ +116 & 1834 & 515 & 7 & 110319 & 0.719213 & NaN & NaN & NaN \\ +437 & 1834 & 516 & 7 & 110319 & NaN & 0.046743 & NaN & NaN \\ +438 & 1834 & 517 & 7 & 110319 & NaN & 0.114321 & NaN & NaN \\ +439 & 1834 & 518 & 7 & 110319 & NaN & 0.462396 & NaN & NaN \\ +440 & 1834 & 519 & 7 & 110319 & NaN & 0.032644 & NaN & NaN \\ +441 & 1834 & 520 & 7 & 110319 & NaN & 0.030128 & NaN & NaN \\ +202 & 1834 & 527 & 7 & 120319 & 1.321338 & 0.446349 & 1.305668 & 0.070034 \\ +203 & 1834 & 528 & 7 & 120319 & 0.357570 & NaN & NaN & NaN \\ +306 & 1834 & 529 & 7 & 120319 & NaN & 0.028355 & 0.068726 & 0.021946 \\ +307 & 1834 & 530 & 7 & 120319 & NaN & 0.184603 & NaN & NaN \\ +61 & 1834 & 531 & 7 & 150319 & 0.445446 & NaN & NaN & NaN \\ +62 & 1834 & 532 & 7 & 150319 & 0.421451 & NaN & NaN & NaN \\ +63 & 1834 & 533 & 7 & 150319 & 0.084001 & NaN & 0.114906 & NaN \\ +64 & 1834 & 534 & 7 & 150319 & 0.454981 & NaN & 0.760987 & NaN \\ +65 & 1834 & 535 & 7 & 150319 & 0.908963 & NaN & NaN & NaN \\ +66 & 1834 & 536 & 7 & 150319 & 0.078502 & NaN & NaN & NaN \\ +332 & 1834 & 537 & 7 & 150319 & NaN & 0.203822 & NaN & NaN \\ +333 & 1834 & 538 & 7 & 150319 & NaN & 0.086675 & NaN & NaN \\ +334 & 1834 & 539 & 7 & 150319 & NaN & 0.027821 & NaN & NaN \\ +335 & 1834 & 540 & 7 & 150319 & NaN & 0.196343 & NaN & NaN \\ +336 & 1834 & 541 & 7 & 150319 & NaN & 0.151508 & NaN & NaN \\ +337 & 1834 & 542 & 7 & 150319 & NaN & 0.028930 & NaN & NaN \\ +533 & 1834 & 543 & 7 & 150319 & NaN & NaN & 1.126356 & NaN \\ +534 & 1834 & 544 & 7 & 150319 & NaN & NaN & 0.302657 & NaN \\ +535 & 1834 & 545 & 7 & 150319 & NaN & NaN & 1.016612 & NaN \\ +536 & 1834 & 546 & 7 & 150319 & NaN & NaN & 0.026611 & NaN \\ +537 & 1834 & 547 & 7 & 150319 & NaN & NaN & 0.136370 & NaN \\ +538 & 1834 & 548 & 7 & 150319 & NaN & NaN & 0.821819 & NaN \\ +539 & 1834 & 549 & 7 & 150319 & NaN & NaN & 0.228425 & NaN \\ +705 & 1834 & 550 & 7 & 150319 & NaN & NaN & NaN & 0.030349 \\ +706 & 1834 & 551 & 7 & 150319 & NaN & NaN & NaN & 0.043551 \\ +707 & 1834 & 552 & 7 & 150319 & NaN & NaN & NaN & 0.048708 \\ +708 & 1834 & 553 & 7 & 150319 & NaN & NaN & NaN & 0.076605 \\ +709 & 1834 & 554 & 7 & 150319 & NaN & NaN & NaN & 0.032823 \\ +178 & 1834 & 555 & 7 & 220319 & 1.443642 & NaN & NaN & NaN \\ +179 & 1834 & 556 & 7 & 220319 & 0.044172 & NaN & NaN & NaN \\ +180 & 1834 & 557 & 7 & 220319 & 0.023302 & NaN & NaN & NaN \\ +181 & 1834 & 558 & 7 & 220319 & 0.016592 & NaN & NaN & NaN \\ +182 & 1834 & 559 & 7 & 220319 & 0.726524 & NaN & NaN & NaN \\ +298 & 1834 & 560 & 7 & 220319 & NaN & 0.378594 & NaN & NaN \\ +299 & 1834 & 561 & 7 & 220319 & NaN & 0.054152 & 0.066728 & 0.019181 \\ +300 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0.017634 \\ +101 & 1839 & 584 & 3 & 200619 & 0.044310 & NaN & NaN & NaN \\ +488 & 1839 & 585 & 3 & 200619 & NaN & 0.025832 & NaN & NaN \\ +204 & 1839 & 586 & 4 & 60619 & 0.686808 & NaN & NaN & NaN \\ +282 & 1839 & 587 & 4 & 60619 & NaN & 0.399102 & NaN & NaN \\ +566 & 1839 & 588 & 4 & 60619 & NaN & NaN & 0.783812 & NaN \\ +777 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 0.041523 \\ +479 & 1839 & 590 & 4 & 120619 & NaN & 0.534358 & NaN & NaN \\ +637 & 1839 & 591 & 4 & 120619 & NaN & NaN & 1.174333 & NaN \\ +638 & 1839 & 592 & 4 & 120619 & NaN & NaN & 0.668984 & NaN \\ +661 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 0.103318 \\ +662 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 0.228831 \\ +663 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 0.021489 \\ +664 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 0.229738 \\ +102 & 1839 & 597 & 4 & 200619 & 0.947845 & NaN & NaN & NaN \\ +489 & 1839 & 598 & 4 & 200619 & NaN & 0.207808 & NaN & NaN \\ +490 & 1839 & 599 & 4 & 200619 & NaN & 0.140532 & NaN & NaN \\ +491 & 1839 & 600 & 4 & 200619 & NaN & 0.061769 & NaN & NaN \\ +71 & 1839 & 601 & 4 & 290519 & 0.078313 & NaN & NaN & NaN \\ +72 & 1839 & 602 & 4 & 290519 & 1.019324 & 0.214228 & NaN & NaN \\ +339 & 1839 & 603 & 4 & 290519 & NaN & 0.052243 & NaN & NaN \\ +283 & 1839 & 606 & 5 & 60619 & NaN & 0.161720 & NaN & 0.063160 \\ +567 & 1839 & 607 & 5 & 60619 & NaN & NaN & 0.041279 & NaN \\ +778 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 0.034862 \\ +67 & 1839 & 609 & 5 & 120619 & 0.223116 & NaN & NaN & NaN \\ +480 & 1839 & 610 & 5 & 120619 & NaN & 0.027810 & NaN & NaN \\ +481 & 1839 & 611 & 5 & 120619 & NaN & 0.049955 & NaN & NaN \\ +639 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.279100 & NaN \\ +103 & 1839 & 613 & 5 & 200619 & 0.280086 & NaN & NaN & NaN \\ +492 & 1839 & 614 & 5 & 200619 & NaN & 0.114146 & NaN & NaN \\ +73 & 1839 & 615 & 5 & 290519 & 0.048432 & NaN & NaN & NaN \\ +74 & 1839 & 616 & 5 & 290519 & 0.026434 & NaN & NaN & NaN \\ +340 & 1839 & 617 & 5 & 290519 & NaN & 0.127380 & NaN & NaN \\ +341 & 1839 & 618 & 5 & 290519 & NaN & 0.055273 & NaN & NaN \\ +342 & 1839 & 619 & 5 & 290519 & NaN & 0.029587 & NaN & NaN \\ +343 & 1839 & 620 & 5 & 290519 & NaN & 0.135179 & NaN & NaN \\ +284 & 1839 & 623 & 6 & 60619 & NaN & 0.056941 & NaN & NaN \\ +779 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 0.064912 \\ +780 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 0.057356 \\ +482 & 1839 & 629 & 6 & 120619 & NaN & 0.031933 & 0.042967 & 0.032832 \\ +483 & 1839 & 630 & 6 & 120619 & NaN & 0.023692 & NaN & NaN \\ +484 & 1839 & 631 & 6 & 120619 & NaN & 0.030365 & NaN & NaN \\ +640 & 1839 & 634 & 6 & 120619 & NaN & NaN & 0.048986 & NaN \\ +641 & 1839 & 635 & 6 & 120619 & NaN & NaN & 0.199524 & NaN \\ +665 & 1839 & 636 & 6 & 120619 & NaN & NaN & NaN & 0.023712 \\ +666 & 1839 & 637 & 6 & 120619 & NaN & NaN & NaN & 0.061025 \\ +667 & 1839 & 638 & 6 & 120619 & NaN & NaN & NaN & 0.051231 \\ +668 & 1839 & 639 & 6 & 120619 & NaN & NaN & NaN & 0.026749 \\ +669 & 1839 & 640 & 6 & 120619 & NaN & NaN & NaN & 0.153533 \\ +493 & 1839 & 643 & 6 & 200619 & NaN & 0.029278 & NaN & NaN \\ +494 & 1839 & 645 & 6 & 200619 & NaN & 0.049899 & NaN & NaN \\ +495 & 1839 & 647 & 6 & 200619 & NaN & 0.072523 & NaN & NaN \\ +496 & 1839 & 648 & 6 & 200619 & NaN & 0.125684 & NaN & NaN \\ +497 & 1839 & 650 & 6 & 200619 & NaN & 0.044270 & NaN & NaN \\ +75 & 1839 & 651 & 6 & 290519 & 0.255109 & NaN & NaN & NaN \\ +76 & 1839 & 652 & 6 & 290519 & 0.702239 & NaN & NaN & NaN \\ +344 & 1839 & 653 & 6 & 290519 & NaN & 0.255936 & NaN & NaN \\ +345 & 1839 & 654 & 6 & 290519 & NaN & 0.237671 & NaN & NaN \\ +205 & 1839 & 655 & 7 & 60619 & 0.346586 & 0.070023 & NaN & 0.036801 \\ +568 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.049373 & 0.035395 \\ +346 & 1839 & 657 & 7 & 290519 & NaN & 0.110739 & NaN & NaN \\ +68 & 1839 & 658 & 7 & 120619 & 0.154437 & NaN & NaN & NaN \\ +642 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.153844 & 0.035324 \\ +670 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.033364 \\ 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0.421273 & 0.043136 \\ +207 & 1849 & 678 & 0 & 150319 & 0.656530 & NaN & NaN & NaN \\ +351 & 1849 & 679 & 0 & 150319 & NaN & 0.112947 & NaN & NaN \\ +570 & 1849 & 680 & 0 & 150319 & NaN & NaN & 0.588837 & NaN \\ +738 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 0.080028 \\ +739 & 1849 & 682 & 0 & 150319 & NaN & NaN & NaN & 0.065964 \\ +37 & 1849 & 683 & 0 & 220319 & 0.704614 & NaN & 0.733823 & 0.031264 \\ +316 & 1849 & 684 & 0 & 220319 & NaN & 0.062612 & NaN & NaN \\ +261 & 1849 & 685 & 0 & 280219 & 0.019962 & NaN & NaN & NaN \\ +360 & 1849 & 686 & 0 & 280219 & NaN & 0.344928 & NaN & NaN \\ +540 & 1849 & 687 & 0 & 280219 & NaN & NaN & 0.701963 & NaN \\ +541 & 1849 & 688 & 0 & 280219 & NaN & NaN & 0.604838 & NaN \\ +675 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 0.094851 \\ +676 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 0.105103 \\ +137 & 1849 & 691 & 1 & 10319 & 0.854727 & NaN & NaN & NaN \\ +150 & 1849 & 699 & 1 & 60319 & 0.029461 & NaN & NaN & NaN \\ +151 & 1849 & 700 & 1 & 60319 & 0.022862 & NaN & NaN & NaN \\ +152 & 1849 & 701 & 1 & 60319 & 0.034847 & NaN & NaN & NaN \\ +153 & 1849 & 702 & 1 & 60319 & 0.994023 & NaN & NaN & NaN \\ +521 & 1849 & 703 & 1 & 60319 & NaN & NaN & 0.032875 & NaN \\ +522 & 1849 & 705 & 1 & 60319 & NaN & NaN & 0.030153 & NaN \\ +523 & 1849 & 706 & 1 & 60319 & NaN & NaN & 0.180778 & NaN \\ +524 & 1849 & 707 & 1 & 60319 & NaN & NaN & 0.536601 & NaN \\ +731 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.234598 \\ +223 & 1849 & 709 & 1 & 110319 & 0.188943 & NaN & NaN & NaN \\ +224 & 1849 & 710 & 1 & 110319 & 0.234213 & NaN & NaN & NaN \\ +225 & 1849 & 711 & 1 & 110319 & 0.266339 & NaN & NaN & NaN \\ +226 & 1849 & 712 & 1 & 110319 & 0.032844 & NaN & NaN & NaN \\ +227 & 1849 & 713 & 1 & 110319 & 0.233926 & NaN & NaN & NaN \\ +228 & 1849 & 714 & 1 & 110319 & 0.082182 & 0.076645 & NaN & NaN \\ +229 & 1849 & 715 & 1 & 110319 & 0.054875 & 0.033265 & NaN & NaN \\ +286 & 1849 & 716 & 1 & 110319 & NaN & 0.127903 & NaN & NaN \\ +287 & 1849 & 717 & 1 & 110319 & NaN & 0.041020 & NaN & NaN \\ +288 & 1849 & 718 & 1 & 110319 & NaN & 0.056686 & NaN & NaN \\ +208 & 1849 & 720 & 1 & 150319 & 0.632518 & 0.121375 & 0.586686 & NaN \\ +209 & 1849 & 721 & 1 & 150319 & 0.248341 & 0.049793 & 0.225948 & NaN \\ +210 & 1849 & 722 & 1 & 150319 & 0.416725 & 0.102364 & 0.379502 & NaN \\ +571 & 1849 & 723 & 1 & 150319 & NaN & NaN & 0.103416 & NaN \\ +361 & 1849 & 724 & 1 & 280219 & NaN & 0.194178 & NaN & 0.056195 \\ +741 & 1849 & 725 & 1 & 150319 & NaN & NaN & NaN & 0.025683 \\ +742 & 1849 & 726 & 1 & 150319 & NaN & NaN & NaN & NaN \\ +38 & 1849 & 727 & 1 & 220319 & 0.686150 & NaN & NaN & NaN \\ +317 & 1849 & 728 & 1 & 220319 & NaN & 0.047348 & NaN & NaN \\ +318 & 1849 & 729 & 1 & 220319 & NaN & 0.047056 & NaN & NaN \\ +612 & 1849 & 731 & 1 & 220319 & NaN & NaN & 0.386292 & NaN \\ +613 & 1849 & 732 & 1 & 220319 & NaN & NaN & 0.197223 & NaN \\ +614 & 1849 & 733 & 1 & 220319 & NaN & NaN & 0.132198 & NaN \\ +262 & 1849 & 734 & 1 & 280219 & 0.017724 & NaN & NaN & NaN \\ +263 & 1849 & 735 & 1 & 280219 & 0.015166 & NaN & NaN & NaN \\ +264 & 1849 & 736 & 1 & 280219 & 0.013097 & NaN & NaN & NaN \\ +265 & 1849 & 737 & 1 & 280219 & 0.014542 & NaN & NaN & NaN \\ +266 & 1849 & 738 & 1 & 280219 & 0.018130 & NaN & NaN & NaN \\ +362 & 1849 & 739 & 1 & 280219 & NaN & 0.104395 & NaN & 0.035268 \\ +363 & 1849 & 740 & 1 & 280219 & NaN & 0.194132 & NaN & NaN \\ +542 & 1849 & 741 & 1 & 280219 & NaN & NaN & 0.435048 & NaN \\ +543 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.339074 & NaN \\ +678 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.085441 \\ +679 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.049581 \\ +138 & 1849 & 745 & 2 & 10319 & 0.333408 & NaN & NaN & NaN \\ +139 & 1849 & 746 & 2 & 10319 & 0.016586 & NaN & NaN & NaN \\ +140 & 1849 & 747 & 2 & 10319 & 0.820086 & NaN & NaN & NaN \\ +39 & 1849 & 750 & 2 & 220319 & 0.691657 & 0.164956 & 0.868593 & 0.035459 \\ +420 & 1849 & 752 & 2 & 60319 & NaN & 0.255503 & NaN & 0.045288 \\ +525 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.044208 & NaN \\ +732 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.031431 \\ +231 & 1849 & 756 & 2 & 110319 & 0.060017 & 0.135443 & NaN & NaN \\ +232 & 1849 & 757 & 2 & 110319 & 0.090531 & 0.043034 & NaN & NaN \\ +212 & 1849 & 758 & 2 & 150319 & 0.394097 & 0.129156 & NaN & NaN \\ +352 & 1849 & 760 & 2 & 150319 & NaN & 0.058650 & 0.024615 & 0.029082 \\ +743 & 1849 & 761 & 2 & 150319 & NaN & NaN & NaN & 0.044426 \\ +319 & 1849 & 763 & 2 & 220319 & NaN & 0.032209 & NaN & NaN \\ +267 & 1849 & 764 & 2 & 280219 & 0.023845 & NaN & NaN & NaN \\ +268 & 1849 & 766 & 2 & 280219 & 0.021673 & NaN & NaN & NaN \\ +269 & 1849 & 767 & 2 & 280219 & 0.022360 & NaN & NaN & NaN \\ +270 & 1849 & 768 & 2 & 280219 & 0.022947 & NaN & NaN & NaN \\ +364 & 1849 & 769 & 2 & 280219 & NaN & 0.142318 & NaN & NaN \\ +365 & 1849 & 770 & 2 & 280219 & NaN & 0.092692 & NaN & NaN \\ +544 & 1849 & 771 & 2 & 280219 & NaN & NaN & 0.040532 & NaN \\ +680 & 1849 & 773 & 2 & 280219 & NaN & NaN & NaN & 0.172074 \\ +141 & 1849 & 774 & 3 & 10319 & 0.055668 & NaN & NaN & NaN \\ +142 & 1849 & 775 & 3 & 10319 & 0.853034 & NaN & NaN & NaN \\ +143 & 1849 & 776 & 3 & 10319 & 0.247566 & NaN & NaN & NaN \\ +154 & 1849 & 780 & 3 & 60319 & 0.073755 & NaN & NaN & NaN \\ +155 & 1849 & 781 & 3 & 60319 & 0.663592 & NaN & NaN & NaN \\ +156 & 1849 & 782 & 3 & 60319 & 0.400154 & NaN & NaN & NaN \\ +157 & 1849 & 783 & 3 & 60319 & 0.193686 & 0.287234 & 0.376361 & 0.028382 \\ +421 & 1849 & 784 & 3 & 60319 & NaN & 0.061605 & NaN & NaN \\ +422 & 1849 & 785 & 3 & 60319 & NaN & 0.185417 & 0.904869 & 0.032091 \\ +233 & 1849 & 786 & 3 & 110319 & 0.592018 & NaN & NaN & NaN \\ +289 & 1849 & 787 & 3 & 110319 & NaN & 0.173290 & NaN & NaN \\ +213 & 1849 & 788 & 3 & 150319 & 0.375846 & NaN & NaN & NaN \\ +214 & 1849 & 789 & 3 & 150319 & 0.461232 & NaN & NaN & NaN \\ +353 & 1849 & 790 & 3 & 150319 & NaN & 0.257751 & NaN & NaN \\ +354 & 1849 & 791 & 3 & 150319 & NaN & 0.115677 & NaN & NaN \\ +572 & 1849 & 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b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_freq.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & 7.690430 & NaN & 7.690430 & 8.666992 \\ +0 & 1833 & 1 & 0 & 260619 & 7.446289 & NaN & 7.690430 & 6.591797 \\ +15 & 1833 & 2 & 0 & 10719 & 7.568359 & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & 7.324219 & 8.422852 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & 7.324219 & 8.056641 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 7.446289 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 6.835938 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 7.934570 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 7.934570 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 7.690430 & 6.225586 & 7.934570 & 7.568359 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 7.080078 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 8.911133 & 7.812500 & 8.422852 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 9.399414 & 7.812500 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 7.812500 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 7.690430 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 8.178711 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 8.911133 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 8.178711 \\ +131 & 1833 & 21 & 0 & 120619 & 7.446289 & 8.666992 & 7.812500 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 7.690430 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 8.789062 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 7.690430 & 7.324219 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 8.911133 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 7.568359 \\ +1 & 1833 & 30 & 0 & 260619 & 7.446289 & NaN & 7.812500 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 7.446289 & 7.080078 & 7.812500 & 8.422852 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 8.422852 & 7.934570 & 7.812500 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 7.446289 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 8.178711 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 7.446289 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 7.446289 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 7.202148 & 9.643555 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 7.324219 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 7.202148 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 7.690430 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 7.568359 & NaN & 7.934570 & 7.324219 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 7.934570 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 7.690430 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 7.324219 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & 7.690430 & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & 7.934570 & NaN & 7.812500 & NaN \\ +243 & 1833 & 58 & 1 & 20719 & 7.812500 & 8.789062 & 6.347656 & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 7.812500 & NaN & NaN \\ 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+375,1849,935,7,280219,,0.213893200766802,, +376,1849,936,7,280219,,2.252070680325964,, +377,1849,937,7,280219,,0.2885291971868318,, +553,1849,938,7,280219,,,0.7259704604889645, +554,1849,939,7,280219,,,0.4295046854781415, +687,1849,940,7,280219,,,,0.8488455222179798 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_half_width.tex new file mode 100644 index 000000000..ad822735c --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_half_width.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & 0.859134 & NaN & 1.173783 & 0.254892 \\ +0 & 1833 & 1 & 0 & 260619 & 1.031715 & NaN & 1.176281 & 0.252809 \\ +15 & 1833 & 2 & 0 & 10719 & 0.926454 & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & 0.702559 & 0.295541 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & 0.806014 & 0.606528 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.211555 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.266998 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 0.643251 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 0.631678 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 0.606195 & 0.286439 & 0.892371 & 0.169210 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.231158 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.144777 & 1.092502 & 0.200752 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.263503 & 0.882919 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.347999 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.497785 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.273432 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.308946 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 1.535723 \\ +131 & 1833 & 21 & 0 & 120619 & 0.794371 & 0.357368 & 0.588878 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 0.712375 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.140540 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.482259 & 0.182354 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.283940 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.204749 \\ +1 & 1833 & 30 & 0 & 260619 & 0.849339 & NaN & 0.735234 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 0.528865 & 0.512273 & 0.413625 & 0.458924 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.274560 & 0.827573 & 0.245996 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.594727 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.136399 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 0.558355 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 0.894669 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 0.616668 & 0.725694 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 0.932136 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 0.833540 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.263672 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 0.886724 & NaN & 0.954036 & 0.316662 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.375015 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.182948 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.153031 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & 0.816901 & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & 0.644395 & NaN & 0.386401 & NaN \\ +243 & 1833 & 58 & 1 & 20719 & 0.401064 & 0.199401 & 0.205440 & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.149574 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & 1.003491 & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.158905 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.555259 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.212941 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.663272 \\ +132 & 1833 & 72 & 1 & 120619 & 1.317310 & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & 1.091164 & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.346653 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & 1.173211 & 0.441841 \\ +3 & 1833 & 78 & 1 & 260619 & 0.940824 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.872796 & 0.502781 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 2.086959 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & 1.193324 & 0.231070 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & 1.000294 & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.292224 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.201016 \\ +81 & 1833 & 87 & 1 & 290519 & 0.429920 & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.566203 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.556248 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.150487 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & 1.339811 & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 1.074020 \\ +23 & 1833 & 96 & 2 & 10719 & 0.901781 & 0.140339 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.230420 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.725663 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.434317 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.480300 & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.388342 \\ +50 & 1833 & 106 & 2 & 50619 & 0.879278 & 0.160712 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & 1.519585 & NaN & 2.412617 & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.420456 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.748146 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.280559 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.622937 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.347296 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & 1.011797 & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & 0.807992 & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & 0.249555 & 0.230748 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.267486 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.139887 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.173935 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.146272 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.230892 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.208545 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.166322 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & 0.470668 & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & 0.667204 & 0.214327 & 0.924198 & NaN \\ +247 & 1833 & 131 & 3 & 20719 & 0.724816 & NaN & 1.038640 & NaN \\ +248 & 1833 & 132 & 3 & 20719 & 0.550340 & NaN & 0.571394 & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.384886 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.257525 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.365216 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.493386 & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.130609 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.238085 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.138411 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.862164 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & 1.064754 & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.175602 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.541138 & 0.155413 \\ +5 & 1833 & 150 & 3 & 260619 & 0.732423 & 0.178327 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.356650 & 0.189459 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.386558 \\ +82 & 1833 & 156 & 3 & 290519 & 0.417108 & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.275460 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.230835 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.892233 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.903263 & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.368379 & NaN \\ +134 & 1833 & 168 & 4 & 120619 & 0.222006 & 0.245484 & 0.373998 & 0.265285 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.158501 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.489190 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.523355 & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.260317 & NaN \\ +255 & 1833 & 174 & 4 & 200619 & 0.254183 & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.158389 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.730372 & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 2.861863 \\ +83 & 1833 & 178 & 4 & 290519 & 0.386240 & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & 0.837181 & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & 1.140248 & NaN \\ +27 & 1833 & 185 & 5 & 10719 & 1.001399 & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & 0.550607 & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & 0.240534 & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 0.395138 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & 1.186881 & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 0.446267 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 0.153495 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & 1.066453 & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.265984 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & 0.586646 & 0.178535 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 1.525696 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.261018 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 0.793889 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & 0.987798 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 1.079994 & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 0.182793 & 1.125888 & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.233349 & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.221797 \\ +85 & 1833 & 212 & 5 & 290519 & 0.848494 & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & 0.580043 & NaN & NaN & NaN \\ +87 & 1833 & 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& 1833 & 232 & 6 & 50619 & 0.932090 & 0.155775 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & 0.694808 & 0.177140 & NaN & NaN \\ +579 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.296906 & 0.195244 \\ +397 & 1833 & 235 & 6 & 50619 & NaN & 0.803824 & NaN & NaN \\ +398 & 1833 & 236 & 6 & 50619 & NaN & 1.093321 & NaN & NaN \\ +580 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.601080 & 0.243264 \\ +790 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.164135 \\ +791 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.336817 \\ +8 & 1833 & 243 & 6 & 260619 & 0.436289 & 0.256509 & 0.258503 & NaN \\ +404 & 1833 & 244 & 6 & 120619 & NaN & 0.325198 & 0.684903 & NaN \\ +581 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.447045 & NaN \\ +582 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.881486 & NaN \\ +764 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.242299 \\ +765 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.563993 \\ +766 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.264710 \\ +256 & 1833 & 250 & 6 & 200619 & 0.858162 & NaN & 0.873897 & NaN \\ +257 & 1833 & 251 & 6 & 200619 & 0.493274 & NaN & NaN & NaN \\ +258 & 1833 & 252 & 6 & 200619 & 0.635651 & NaN & NaN & NaN \\ +259 & 1833 & 253 & 6 & 200619 & 0.469670 & 0.284248 & 0.667287 & 0.161950 \\ +462 & 1833 & 254 & 6 & 200619 & NaN & 0.242229 & NaN & NaN \\ +463 & 1833 & 255 & 6 & 200619 & NaN & 0.382292 & NaN & NaN \\ +464 & 1833 & 256 & 6 & 200619 & NaN & 0.169521 & NaN & NaN \\ +465 & 1833 & 257 & 6 & 200619 & NaN & 0.223208 & NaN & NaN \\ +658 & 1833 & 258 & 6 & 200619 & NaN & NaN & 1.024298 & NaN \\ +720 & 1833 & 259 & 6 & 200619 & NaN & NaN & NaN & 0.195154 \\ +721 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.168056 \\ +722 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.124894 \\ +723 & 1833 & 262 & 6 & 200619 & NaN & NaN & NaN & 0.177334 \\ +9 & 1833 & 263 & 6 & 260619 & 0.786280 & NaN & NaN & 0.273671 \\ +10 & 1833 & 264 & 6 & 260619 & 0.343736 & NaN & NaN & NaN \\ +11 & 1833 & 265 & 6 & 260619 & 0.879666 & NaN & NaN & NaN \\ +312 & 1833 & 266 & 6 & 260619 & NaN & 0.144127 & NaN & NaN \\ +313 & 1833 & 267 & 6 & 260619 & NaN & 0.354039 & NaN & NaN \\ +314 & 1833 & 268 & 6 & 260619 & NaN & 0.167508 & NaN & NaN \\ +315 & 1833 & 269 & 6 & 260619 & NaN & 0.333186 & NaN & NaN \\ +649 & 1833 & 270 & 6 & 260619 & NaN & NaN & 1.059920 & NaN \\ +758 & 1833 & 271 & 6 & 260619 & NaN & NaN & NaN & 0.146855 \\ +759 & 1833 & 272 & 6 & 260619 & NaN & NaN & NaN & 0.174436 \\ +760 & 1833 & 273 & 6 & 260619 & NaN & NaN & NaN & 0.159992 \\ +761 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.184529 \\ +762 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.457763 \\ +88 & 1833 & 276 & 6 & 290519 & 0.595327 & NaN & NaN & NaN \\ +89 & 1833 & 277 & 6 & 290519 & 1.018120 & NaN & NaN & NaN \\ +90 & 1833 & 278 & 6 & 290519 & 0.814184 & NaN & NaN & NaN \\ +91 & 1833 & 279 & 6 & 290519 & 0.874315 & NaN & NaN & NaN \\ +92 & 1833 & 280 & 6 & 290519 & 0.867904 & NaN & NaN & NaN \\ +93 & 1833 & 281 & 6 & 290519 & 0.265277 & NaN & NaN & NaN \\ +94 & 1833 & 282 & 6 & 290519 & 0.230945 & NaN & NaN & NaN \\ +477 & 1833 & 283 & 6 & 290519 & NaN & 0.692943 & NaN & NaN \\ +559 & 1833 & 284 & 6 & 290519 & NaN & NaN & 1.058633 & NaN \\ +560 & 1833 & 285 & 6 & 290519 & NaN & NaN & 1.533063 & NaN \\ +561 & 1833 & 286 & 6 & 290519 & NaN & NaN & 0.480453 & NaN \\ +562 & 1833 & 287 & 6 & 290519 & NaN & NaN & 1.243558 & NaN \\ +563 & 1833 & 288 & 6 & 290519 & NaN & NaN & 0.562095 & NaN \\ +564 & 1833 & 289 & 6 & 290519 & NaN & NaN & 0.512579 & NaN \\ +771 & 1833 & 290 & 6 & 290519 & NaN & NaN & NaN & 0.285302 \\ +772 & 1833 & 291 & 6 & 290519 & NaN & NaN & NaN & 0.230346 \\ +773 & 1833 & 292 & 6 & 290519 & NaN & NaN & NaN & 0.390145 \\ +34 & 1833 & 293 & 7 & 10719 & 0.211273 & NaN & NaN & NaN \\ +35 & 1833 & 294 & 7 & 10719 & 0.287940 & 0.188170 & NaN & NaN \\ +36 & 1833 & 295 & 7 & 10719 & 0.146645 & NaN & NaN & NaN \\ +519 & 1833 & 296 & 7 & 10719 & NaN & 0.280415 & NaN & NaN \\ +520 & 1833 & 297 & 7 & 10719 & NaN & 0.400004 & NaN & NaN \\ 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NaN & NaN \\ +98 & 1833 & 315 & 7 & 290519 & 0.160844 & NaN & NaN & NaN \\ +99 & 1833 & 316 & 7 & 290519 & 0.221394 & NaN & NaN & NaN \\ +100 & 1833 & 317 & 7 & 290519 & 0.771678 & NaN & 0.630009 & NaN \\ +565 & 1833 & 322 & 7 & 290519 & NaN & NaN & 0.325128 & NaN \\ +774 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.166028 \\ +775 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.164046 \\ +776 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 0.129298 \\ +117 & 1834 & 327 & 0 & 10319 & 1.298920 & NaN & NaN & NaN \\ +118 & 1834 & 328 & 0 & 10319 & 0.295897 & NaN & NaN & NaN \\ +378 & 1834 & 329 & 0 & 10319 & NaN & 0.401340 & NaN & NaN \\ +379 & 1834 & 330 & 0 & 10319 & NaN & 0.504645 & NaN & NaN \\ +105 & 1834 & 332 & 0 & 110319 & 0.257759 & 0.196731 & NaN & NaN \\ +184 & 1834 & 333 & 0 & 60319 & 0.254369 & NaN & NaN & NaN \\ +185 & 1834 & 334 & 0 & 60319 & 0.326774 & NaN & NaN & NaN \\ +186 & 1834 & 335 & 0 & 60319 & 0.274076 & NaN & NaN & NaN \\ +187 & 1834 & 336 & 0 & 60319 & 0.283830 & NaN & NaN & NaN \\ +188 & 1834 & 337 & 0 & 60319 & 0.294914 & NaN & NaN & NaN \\ +189 & 1834 & 338 & 0 & 60319 & 0.723574 & NaN & NaN & NaN \\ +584 & 1834 & 339 & 0 & 60319 & NaN & NaN & 1.091401 & NaN \\ +106 & 1834 & 340 & 0 & 110319 & 0.209123 & NaN & NaN & NaN \\ +429 & 1834 & 341 & 0 & 110319 & NaN & 0.772629 & NaN & NaN \\ +197 & 1834 & 343 & 0 & 120319 & 1.266634 & 0.231473 & 1.294448 & 0.187371 \\ +527 & 1834 & 344 & 0 & 150319 & NaN & NaN & 0.718408 & NaN \\ +165 & 1834 & 345 & 0 & 220319 & 1.090244 & 0.606976 & 0.741537 & 0.165429 \\ +166 & 1834 & 346 & 0 & 220319 & 1.361194 & NaN & NaN & NaN \\ +119 & 1834 & 347 & 1 & 10319 & 0.764934 & NaN & NaN & NaN \\ +380 & 1834 & 348 & 1 & 10319 & NaN & 0.370004 & NaN & NaN \\ +622 & 1834 & 349 & 1 & 10319 & NaN & NaN & 0.443645 & NaN \\ +406 & 1834 & 350 & 1 & 60319 & NaN & 0.235450 & NaN & NaN \\ +198 & 1834 & 351 & 1 & 120319 & 0.241517 & NaN & NaN & NaN \\ +302 & 1834 & 352 & 1 & 120319 & NaN & 0.135021 & 0.696489 & NaN \\ +407 & 1834 & 353 & 2 & 60319 & NaN & 0.499161 & NaN & NaN \\ +303 & 1834 & 354 & 2 & 120319 & NaN & 0.156155 & NaN & NaN \\ +304 & 1834 & 355 & 2 & 120319 & NaN & 0.200081 & NaN & NaN \\ +602 & 1834 & 356 & 2 & 120319 & NaN & NaN & 1.493932 & NaN \\ +167 & 1834 & 357 & 2 & 220319 & 1.219699 & 0.292341 & 0.854309 & NaN \\ +168 & 1834 & 358 & 2 & 220319 & 0.530701 & 0.334742 & 0.620118 & NaN \\ +169 & 1834 & 359 & 2 & 220319 & 0.787127 & NaN & NaN & NaN \\ +710 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.186820 \\ +120 & 1834 & 361 & 3 & 10319 & 0.558732 & 0.132224 & NaN & NaN \\ +121 & 1834 & 362 & 3 & 10319 & 0.954455 & NaN & NaN & NaN \\ +122 & 1834 & 363 & 3 & 10319 & 1.035098 & NaN & NaN & NaN \\ +381 & 1834 & 364 & 3 & 10319 & NaN & 0.858527 & NaN & NaN \\ +623 & 1834 & 365 & 3 & 10319 & NaN & NaN & 0.286522 & NaN \\ +624 & 1834 & 366 & 3 & 10319 & NaN & NaN & 1.030548 & NaN \\ +724 & 1834 & 367 & 3 & 10319 & NaN & NaN & NaN & 0.311650 \\ +725 & 1834 & 368 & 3 & 10319 & NaN & NaN & NaN & 0.252154 \\ +190 & 1834 & 369 & 3 & 60319 & 1.142166 & NaN & NaN & NaN \\ +191 & 1834 & 370 & 3 & 60319 & 0.273170 & NaN & NaN & NaN \\ +192 & 1834 & 371 & 3 & 60319 & 1.247055 & 0.911013 & 0.824116 & 0.339039 \\ +408 & 1834 & 372 & 3 & 60319 & NaN & 0.237911 & NaN & NaN \\ +747 & 1834 & 373 & 3 & 60319 & NaN & NaN & NaN & 0.261841 \\ +430 & 1834 & 374 & 3 & 110319 & NaN & 0.682871 & NaN & NaN \\ +199 & 1834 & 376 & 3 & 120319 & 1.588282 & 0.515524 & 1.411980 & NaN \\ +305 & 1834 & 377 & 3 & 120319 & NaN & 0.395983 & NaN & NaN \\ +672 & 1834 & 378 & 3 & 120319 & NaN & NaN & NaN & 0.240320 \\ +56 & 1834 & 379 & 3 & 150319 & 0.983583 & NaN & NaN & NaN \\ +327 & 1834 & 380 & 3 & 150319 & NaN & 0.320521 & NaN & NaN \\ +328 & 1834 & 381 & 3 & 150319 & NaN & 0.459359 & 1.239466 & 0.535314 \\ +528 & 1834 & 382 & 3 & 150319 & NaN & NaN & 1.259670 & NaN \\ +698 & 1834 & 383 & 3 & 150319 & NaN & NaN & NaN & 0.185042 \\ +170 & 1834 & 384 & 3 & 220319 & 1.189701 & 0.290447 & 0.905367 & 0.158620 \\ +123 & 1834 & 385 & 4 & 10319 & 0.756909 & NaN & NaN & NaN \\ +124 & 1834 & 386 & 4 & 10319 & 0.416132 & NaN & NaN & NaN \\ +382 & 1834 & 387 & 4 & 10319 & NaN & 0.255321 & NaN & NaN \\ +383 & 1834 & 388 & 4 & 10319 & NaN & 0.325515 & NaN & NaN \\ +384 & 1834 & 389 & 4 & 10319 & NaN & 0.161089 & NaN & NaN \\ +385 & 1834 & 390 & 4 & 10319 & NaN & 0.220649 & NaN & NaN \\ +625 & 1834 & 391 & 4 & 10319 & NaN & NaN & 0.592324 & NaN \\ +626 & 1834 & 392 & 4 & 10319 & NaN & NaN & 0.179728 & NaN \\ +627 & 1834 & 393 & 4 & 10319 & NaN & NaN & 0.153663 & NaN \\ +603 & 1834 & 399 & 4 & 120319 & NaN & NaN & 0.168974 & NaN \\ +604 & 1834 & 400 & 4 & 120319 & NaN & NaN & 0.360785 & NaN \\ +171 & 1834 & 402 & 4 & 220319 & 0.984316 & 0.238283 & NaN & NaN \\ +606 & 1834 & 404 & 4 & 220319 & NaN & NaN & 0.922538 & 0.319527 \\ +711 & 1834 & 405 & 4 & 220319 & NaN & NaN & NaN & 0.265815 \\ +712 & 1834 & 406 & 4 & 220319 & NaN & NaN & NaN & 0.340069 \\ +713 & 1834 & 407 & 4 & 220319 & NaN & NaN & NaN & 0.223123 \\ +125 & 1834 & 408 & 5 & 10319 & 0.913463 & NaN & NaN & NaN \\ +126 & 1834 & 409 & 5 & 10319 & 1.311495 & NaN & NaN & NaN \\ +386 & 1834 & 410 & 5 & 10319 & NaN & 0.597989 & NaN & NaN \\ +387 & 1834 & 411 & 5 & 10319 & NaN & 0.347534 & 1.191757 & NaN \\ +628 & 1834 & 412 & 5 & 10319 & NaN & NaN & 1.583151 & NaN \\ +726 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 0.168989 \\ +727 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 0.257218 \\ +193 & 1834 & 415 & 5 & 60319 & 1.243079 & NaN & NaN & NaN \\ +409 & 1834 & 416 & 5 & 60319 & NaN & 0.383978 & NaN & NaN \\ +410 & 1834 & 417 & 5 & 60319 & NaN & 0.381264 & 1.154480 & 0.284790 \\ +585 & 1834 & 418 & 5 & 60319 & NaN & NaN & 1.003194 & NaN \\ +586 & 1834 & 419 & 5 & 60319 & NaN & NaN & 1.169361 & NaN \\ +107 & 1834 & 420 & 5 & 110319 & 1.182689 & NaN & NaN & NaN \\ +749 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 0.165832 \\ +108 & 1834 & 422 & 5 & 110319 & 1.660218 & NaN & NaN & NaN \\ +109 & 1834 & 423 & 5 & 110319 & 1.329034 & 0.824379 & NaN & NaN \\ +431 & 1834 & 424 & 5 & 110319 & NaN & 0.942141 & NaN & NaN \\ +432 & 1834 & 425 & 5 & 110319 & NaN & 0.466441 & NaN & NaN \\ +200 & 1834 & 428 & 5 & 120319 & 1.013967 & 0.554308 & 0.865995 & 0.244752 \\ +605 & 1834 & 429 & 5 & 120319 & NaN & NaN & 1.467358 & NaN \\ +673 & 1834 & 430 & 5 & 120319 & NaN & NaN & NaN & 0.413733 \\ +674 & 1834 & 431 & 5 & 120319 & NaN & NaN & NaN & 0.166466 \\ +57 & 1834 & 432 & 5 & 150319 & 1.062120 & NaN & NaN & NaN \\ +58 & 1834 & 433 & 5 & 150319 & 0.452333 & NaN & NaN & NaN \\ +59 & 1834 & 434 & 5 & 150319 & 1.028368 & NaN & NaN & NaN \\ +60 & 1834 & 435 & 5 & 150319 & 0.839349 & NaN & NaN & NaN \\ +329 & 1834 & 436 & 5 & 150319 & NaN & 0.294400 & NaN & NaN \\ +529 & 1834 & 437 & 5 & 150319 & NaN & NaN & 0.428336 & 0.246246 \\ +530 & 1834 & 438 & 5 & 150319 & NaN & NaN & 1.347914 & NaN \\ +699 & 1834 & 439 & 5 & 150319 & NaN & NaN & NaN & 0.363542 \\ +700 & 1834 & 440 & 5 & 150319 & NaN & NaN & NaN & 0.191891 \\ +701 & 1834 & 441 & 5 & 150319 & NaN & NaN & NaN & 0.551838 \\ +702 & 1834 & 442 & 5 & 150319 & NaN & NaN & NaN & 0.327531 \\ +703 & 1834 & 443 & 5 & 150319 & NaN & NaN & NaN & 0.874602 \\ +172 & 1834 & 444 & 5 & 220319 & 1.312969 & NaN & NaN & NaN \\ +127 & 1834 & 445 & 6 & 10319 & 0.810160 & NaN & NaN & NaN \\ +128 & 1834 & 446 & 6 & 10319 & 0.670526 & 0.186817 & NaN & NaN \\ +388 & 1834 & 447 & 6 & 10319 & NaN & 0.159129 & NaN & NaN \\ +389 & 1834 & 448 & 6 & 10319 & NaN & 0.137498 & NaN & NaN \\ +629 & 1834 & 449 & 6 & 10319 & NaN & NaN & 0.973047 & 0.220566 \\ +630 & 1834 & 450 & 6 & 10319 & NaN & NaN & 0.449983 & 0.363544 \\ +728 & 1834 & 451 & 6 & 10319 & NaN & NaN & NaN & 0.170879 \\ +411 & 1834 & 452 & 6 & 60319 & NaN & 0.158626 & 0.727882 & NaN \\ +412 & 1834 & 453 & 6 & 60319 & NaN & 0.150288 & 0.211037 & NaN \\ +413 & 1834 & 454 & 6 & 60319 & NaN & 0.646410 & NaN & NaN \\ +414 & 1834 & 455 & 6 & 60319 & NaN & 0.261044 & 0.316853 & 0.223325 \\ +587 & 1834 & 456 & 6 & 60319 & NaN 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NaN & NaN \\ +393 & 1834 & 495 & 7 & 10319 & NaN & 0.186123 & NaN & NaN \\ +394 & 1834 & 496 & 7 & 10319 & NaN & 1.228715 & NaN & NaN \\ +631 & 1834 & 497 & 7 & 10319 & NaN & NaN & 1.664119 & 0.223068 \\ +632 & 1834 & 498 & 7 & 10319 & NaN & NaN & 0.496919 & NaN \\ +633 & 1834 & 499 & 7 & 10319 & NaN & NaN & 0.206241 & 0.201261 \\ +729 & 1834 & 500 & 7 & 10319 & NaN & NaN & NaN & 0.275357 \\ +730 & 1834 & 501 & 7 & 10319 & NaN & NaN & NaN & 0.183773 \\ +195 & 1834 & 502 & 7 & 60319 & 1.786666 & NaN & NaN & NaN \\ +196 & 1834 & 503 & 7 & 60319 & 0.906688 & NaN & NaN & NaN \\ +415 & 1834 & 504 & 7 & 60319 & NaN & 0.837412 & NaN & NaN \\ +416 & 1834 & 505 & 7 & 60319 & NaN & 0.177671 & 0.230121 & NaN \\ +417 & 1834 & 506 & 7 & 60319 & NaN & 0.184342 & 0.136908 & 0.144072 \\ +418 & 1834 & 507 & 7 & 60319 & NaN & 0.238225 & 1.084320 & 0.296398 \\ +419 & 1834 & 508 & 7 & 60319 & NaN & 0.811141 & 1.068269 & 0.328182 \\ +588 & 1834 & 509 & 7 & 60319 & NaN & NaN & 0.795115 & NaN \\ +752 & 1834 & 510 & 7 & 60319 & NaN & NaN & NaN & 0.171050 \\ +112 & 1834 & 511 & 7 & 110319 & 1.135265 & NaN & NaN & NaN \\ +113 & 1834 & 512 & 7 & 110319 & 1.555896 & 0.717916 & NaN & NaN \\ +114 & 1834 & 513 & 7 & 110319 & 0.324602 & NaN & NaN & NaN \\ +115 & 1834 & 514 & 7 & 110319 & 0.484560 & 0.336235 & NaN & NaN \\ +116 & 1834 & 515 & 7 & 110319 & 1.051601 & NaN & NaN & NaN \\ +437 & 1834 & 516 & 7 & 110319 & NaN & 0.405700 & NaN & NaN \\ +438 & 1834 & 517 & 7 & 110319 & NaN & 0.304652 & NaN & NaN \\ +439 & 1834 & 518 & 7 & 110319 & NaN & 0.761881 & NaN & NaN \\ +440 & 1834 & 519 & 7 & 110319 & NaN & 0.308274 & NaN & NaN \\ +441 & 1834 & 520 & 7 & 110319 & NaN & 0.171866 & NaN & NaN \\ +202 & 1834 & 527 & 7 & 120319 & 1.550444 & 0.933228 & 1.565266 & 0.176827 \\ +203 & 1834 & 528 & 7 & 120319 & 1.204868 & NaN & NaN & NaN \\ +306 & 1834 & 529 & 7 & 120319 & NaN & 0.239169 & 0.871848 & 0.205610 \\ +307 & 1834 & 530 & 7 & 120319 & NaN & 1.066906 & NaN & NaN \\ +61 & 1834 & 531 & 7 & 150319 & 1.010634 & NaN & NaN & NaN \\ +62 & 1834 & 532 & 7 & 150319 & 0.784191 & NaN & NaN & NaN \\ +63 & 1834 & 533 & 7 & 150319 & 0.230808 & NaN & 0.607262 & NaN \\ +64 & 1834 & 534 & 7 & 150319 & 0.974300 & NaN & 1.112631 & NaN \\ +65 & 1834 & 535 & 7 & 150319 & 1.112556 & NaN & NaN & NaN \\ +66 & 1834 & 536 & 7 & 150319 & 0.372446 & NaN & NaN & NaN \\ +332 & 1834 & 537 & 7 & 150319 & NaN & 0.364412 & NaN & NaN \\ +333 & 1834 & 538 & 7 & 150319 & NaN & 0.277471 & NaN & NaN \\ +334 & 1834 & 539 & 7 & 150319 & NaN & 0.174319 & NaN & NaN \\ +335 & 1834 & 540 & 7 & 150319 & NaN & 0.342540 & NaN & NaN \\ +336 & 1834 & 541 & 7 & 150319 & NaN & 0.449945 & NaN & NaN \\ +337 & 1834 & 542 & 7 & 150319 & NaN & 0.258838 & NaN & NaN \\ +533 & 1834 & 543 & 7 & 150319 & NaN & NaN & 1.254657 & NaN \\ +534 & 1834 & 544 & 7 & 150319 & NaN & NaN & 0.790322 & NaN \\ +535 & 1834 & 545 & 7 & 150319 & NaN & NaN & 1.406650 & NaN \\ +536 & 1834 & 546 & 7 & 150319 & NaN & NaN & 0.157502 & NaN \\ +537 & 1834 & 547 & 7 & 150319 & NaN & NaN & 0.714385 & NaN \\ +538 & 1834 & 548 & 7 & 150319 & NaN & NaN & 1.119250 & NaN \\ +539 & 1834 & 549 & 7 & 150319 & NaN & NaN & 0.675723 & NaN \\ +705 & 1834 & 550 & 7 & 150319 & NaN & NaN & NaN & 0.257830 \\ +706 & 1834 & 551 & 7 & 150319 & NaN & NaN & NaN & 0.248554 \\ +707 & 1834 & 552 & 7 & 150319 & NaN & NaN & NaN & 0.512386 \\ +708 & 1834 & 553 & 7 & 150319 & NaN & NaN & NaN & 0.266217 \\ +709 & 1834 & 554 & 7 & 150319 & NaN & NaN & NaN & 0.268634 \\ +178 & 1834 & 555 & 7 & 220319 & 1.827225 & NaN & NaN & NaN \\ +179 & 1834 & 556 & 7 & 220319 & 0.293319 & NaN & NaN & NaN \\ +180 & 1834 & 557 & 7 & 220319 & 0.256043 & NaN & NaN & NaN \\ +181 & 1834 & 558 & 7 & 220319 & 0.138539 & NaN & NaN & NaN \\ +182 & 1834 & 559 & 7 & 220319 & 1.705028 & NaN & NaN & NaN \\ +298 & 1834 & 560 & 7 & 220319 & NaN & 1.672826 & NaN & NaN \\ +299 & 1834 & 561 & 7 & 220319 & NaN & 0.304799 & 0.807960 & 0.316924 \\ +300 & 1834 & 562 & 7 & 220319 & NaN & 1.044778 & 1.411155 & NaN \\ +301 & 1834 & 563 & 7 & 220319 & NaN & 0.969900 & NaN & NaN \\ +610 & 1834 & 564 & 7 & 220319 & NaN & NaN & 1.228232 & NaN \\ +611 & 1834 & 565 & 7 & 220319 & NaN & NaN & 1.141343 & NaN \\ +714 & 1834 & 566 & 7 & 220319 & NaN & NaN & NaN & 0.218997 \\ +715 & 1834 & 567 & 7 & 220319 & NaN & NaN & NaN & 0.306971 \\ +716 & 1834 & 568 & 7 & 220319 & NaN & NaN & NaN & 0.134007 \\ +478 & 1839 & 569 & 0 & 120619 & NaN & 0.163377 & NaN & NaN \\ +69 & 1839 & 572 & 0 & 290519 & 0.295425 & NaN & NaN & NaN \\ +338 & 1839 & 574 & 0 & 290519 & NaN & 0.156808 & NaN & NaN \\ +634 & 1839 & 576 & 1 & 120619 & NaN & NaN & 0.483391 & 0.345066 \\ +487 & 1839 & 579 & 1 & 200619 & NaN & 0.197866 & NaN & NaN \\ +70 & 1839 & 580 & 1 & 290519 & 0.213127 & NaN & NaN & NaN \\ +635 & 1839 & 581 & 2 & 120619 & NaN & NaN & 0.281869 & NaN \\ +636 & 1839 & 582 & 3 & 120619 & NaN & NaN & 0.176707 & NaN \\ +660 & 1839 & 583 & 3 & 120619 & NaN & NaN & NaN & 0.162368 \\ +101 & 1839 & 584 & 3 & 200619 & 0.312527 & NaN & NaN & NaN \\ +488 & 1839 & 585 & 3 & 200619 & NaN & 0.209748 & NaN & NaN \\ +204 & 1839 & 586 & 4 & 60619 & 1.233221 & NaN & NaN & NaN \\ +282 & 1839 & 587 & 4 & 60619 & NaN & 0.829761 & NaN & NaN \\ +566 & 1839 & 588 & 4 & 60619 & NaN & NaN & 1.141319 & NaN \\ +777 & 1839 & 589 & 4 & 60619 & NaN & NaN & NaN & 0.233698 \\ +479 & 1839 & 590 & 4 & 120619 & NaN & 0.992289 & NaN & NaN \\ +637 & 1839 & 591 & 4 & 120619 & NaN & NaN & 1.333169 & NaN \\ +638 & 1839 & 592 & 4 & 120619 & NaN & NaN & 1.213707 & NaN \\ +661 & 1839 & 593 & 4 & 120619 & NaN & NaN & NaN & 0.431764 \\ +662 & 1839 & 594 & 4 & 120619 & NaN & NaN & NaN & 0.859538 \\ +663 & 1839 & 595 & 4 & 120619 & NaN & NaN & NaN & 0.314091 \\ +664 & 1839 & 596 & 4 & 120619 & NaN & NaN & NaN & 0.902788 \\ +102 & 1839 & 597 & 4 & 200619 & 1.164644 & NaN & NaN & NaN \\ +489 & 1839 & 598 & 4 & 200619 & NaN & 0.982091 & NaN & NaN \\ +490 & 1839 & 599 & 4 & 200619 & NaN & 0.276278 & NaN & NaN \\ +491 & 1839 & 600 & 4 & 200619 & NaN & 0.304248 & NaN & NaN \\ +71 & 1839 & 601 & 4 & 290519 & 0.680533 & NaN & NaN & NaN \\ +72 & 1839 & 602 & 4 & 290519 & 1.533783 & 0.422394 & NaN & NaN \\ +339 & 1839 & 603 & 4 & 290519 & NaN & 0.257048 & NaN & NaN \\ +283 & 1839 & 606 & 5 & 60619 & NaN & 0.321035 & NaN & 0.428051 \\ +567 & 1839 & 607 & 5 & 60619 & NaN & NaN & 0.300409 & NaN \\ +778 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 0.186276 \\ +67 & 1839 & 609 & 5 & 120619 & 1.168024 & NaN & NaN & NaN \\ +480 & 1839 & 610 & 5 & 120619 & NaN & 0.226312 & NaN & NaN \\ +481 & 1839 & 611 & 5 & 120619 & NaN & 0.279006 & NaN & NaN \\ +639 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.426185 & NaN \\ +103 & 1839 & 613 & 5 & 200619 & 0.904614 & NaN & NaN & NaN \\ +492 & 1839 & 614 & 5 & 200619 & NaN & 0.324319 & NaN & NaN \\ +73 & 1839 & 615 & 5 & 290519 & 0.331134 & NaN & NaN & NaN \\ +74 & 1839 & 616 & 5 & 290519 & 0.287003 & NaN & NaN & NaN \\ +340 & 1839 & 617 & 5 & 290519 & NaN & 0.800901 & NaN & NaN \\ +341 & 1839 & 618 & 5 & 290519 & NaN & 0.175245 & NaN & NaN \\ +342 & 1839 & 619 & 5 & 290519 & NaN & 0.222447 & NaN & NaN \\ +343 & 1839 & 620 & 5 & 290519 & NaN & 0.280117 & NaN & NaN \\ +284 & 1839 & 623 & 6 & 60619 & NaN & 0.227155 & NaN & NaN \\ +779 & 1839 & 626 & 6 & 60619 & NaN & NaN & NaN & 0.306322 \\ +780 & 1839 & 627 & 6 & 60619 & NaN & NaN & NaN & 0.177840 \\ +482 & 1839 & 629 & 6 & 120619 & NaN & 0.186301 & 0.583185 & 0.142309 \\ +483 & 1839 & 630 & 6 & 120619 & NaN & 0.259350 & NaN & NaN \\ +484 & 1839 & 631 & 6 & 120619 & NaN & 0.215966 & NaN & NaN \\ +640 & 1839 & 634 & 6 & 120619 & NaN & NaN & 0.923437 & NaN \\ +641 & 1839 & 635 & 6 & 120619 & NaN & NaN & 0.570997 & NaN \\ +665 & 1839 & 636 & 6 & 120619 & NaN & NaN & NaN & 0.173524 \\ +666 & 1839 & 637 & 6 & 120619 & NaN & NaN & NaN & 0.462365 \\ +667 & 1839 & 638 & 6 & 120619 & NaN & NaN & NaN & 0.149594 \\ +668 & 1839 & 639 & 6 & 120619 & NaN & NaN & NaN & 0.212696 \\ +669 & 1839 & 640 & 6 & 120619 & NaN & NaN & NaN & 1.047806 \\ +493 & 1839 & 643 & 6 & 200619 & NaN & 0.221510 & NaN & NaN \\ +494 & 1839 & 645 & 6 & 200619 & NaN & 0.183399 & NaN & NaN \\ +495 & 1839 & 647 & 6 & 200619 & NaN & 0.325930 & NaN & NaN \\ +496 & 1839 & 648 & 6 & 200619 & NaN & 0.743689 & NaN & NaN \\ +497 & 1839 & 650 & 6 & 200619 & NaN & 0.360104 & NaN & NaN \\ +75 & 1839 & 651 & 6 & 290519 & 0.808482 & NaN & NaN & NaN \\ +76 & 1839 & 652 & 6 & 290519 & 1.182080 & NaN & NaN & NaN \\ +344 & 1839 & 653 & 6 & 290519 & NaN & 1.545392 & NaN & NaN \\ +345 & 1839 & 654 & 6 & 290519 & NaN & 0.559548 & NaN & NaN \\ +205 & 1839 & 655 & 7 & 60619 & 0.848287 & 0.196961 & NaN & 0.200004 \\ +568 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.283369 & 0.192571 \\ +346 & 1839 & 657 & 7 & 290519 & NaN & 0.299125 & NaN & NaN \\ +68 & 1839 & 658 & 7 & 120619 & 1.046563 & NaN & NaN & NaN \\ +642 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.522630 & 0.157983 \\ +670 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.277987 \\ +104 & 1839 & 661 & 7 & 200619 & 0.628416 & NaN & NaN & NaN \\ +498 & 1839 & 662 & 7 & 200619 & NaN & 0.152729 & NaN & NaN \\ +499 & 1839 & 663 & 7 & 200619 & NaN & 0.424309 & NaN & NaN \\ +500 & 1839 & 664 & 7 & 200619 & NaN & 0.521514 & NaN & NaN \\ +77 & 1839 & 665 & 7 & 290519 & 1.538318 & NaN & NaN & NaN \\ +78 & 1839 & 666 & 7 & 290519 & 0.930560 & NaN & NaN & NaN \\ +79 & 1839 & 667 & 7 & 290519 & 0.279848 & NaN & NaN & NaN \\ +80 & 1839 & 668 & 7 & 290519 & 0.961134 & NaN & NaN & NaN \\ +347 & 1839 & 669 & 7 & 290519 & NaN & 0.397362 & NaN & NaN \\ +348 & 1839 & 670 & 7 & 290519 & NaN & 0.483325 & NaN & NaN \\ +349 & 1839 & 671 & 7 & 290519 & NaN & 0.207653 & NaN & NaN \\ +350 & 1839 & 672 & 7 & 290519 & NaN & 0.269721 & NaN & NaN \\ +149 & 1849 & 674 & 0 & 60319 & 0.141981 & NaN & NaN & NaN \\ +222 & 1849 & 675 & 0 & 110319 & 1.296904 & NaN & NaN & NaN \\ +285 & 1849 & 676 & 0 & 110319 & NaN & 0.373300 & NaN & NaN \\ +206 & 1849 & 677 & 0 & 150319 & 0.741833 & 0.348442 & 0.836889 & 0.176737 \\ +207 & 1849 & 678 & 0 & 150319 & 1.036582 & NaN & NaN & NaN \\ +351 & 1849 & 679 & 0 & 150319 & NaN & 0.234144 & NaN & NaN \\ +570 & 1849 & 680 & 0 & 150319 & NaN & NaN & 1.005270 & NaN \\ +738 & 1849 & 681 & 0 & 150319 & NaN & NaN & NaN & 0.332103 \\ +739 & 1849 & 682 & 0 & 150319 & NaN & NaN & NaN & 0.133358 \\ +37 & 1849 & 683 & 0 & 220319 & 0.984545 & NaN & 0.846697 & 0.173923 \\ +316 & 1849 & 684 & 0 & 220319 & NaN & 0.232874 & NaN & NaN \\ +261 & 1849 & 685 & 0 & 280219 & 0.360515 & NaN & NaN & NaN \\ +360 & 1849 & 686 & 0 & 280219 & NaN & 1.354166 & NaN & NaN \\ +540 & 1849 & 687 & 0 & 280219 & NaN & NaN & 1.224513 & NaN \\ +541 & 1849 & 688 & 0 & 280219 & NaN & NaN & 0.887373 & NaN \\ +675 & 1849 & 689 & 0 & 280219 & NaN & NaN & NaN & 0.274394 \\ +676 & 1849 & 690 & 0 & 280219 & NaN & NaN & NaN & 0.198974 \\ +137 & 1849 & 691 & 1 & 10319 & 1.004472 & NaN & NaN & NaN \\ +150 & 1849 & 699 & 1 & 60319 & 0.179026 & NaN & NaN & NaN \\ +151 & 1849 & 700 & 1 & 60319 & 0.160982 & NaN & NaN & NaN \\ +152 & 1849 & 701 & 1 & 60319 & 0.254493 & NaN & NaN & NaN \\ +153 & 1849 & 702 & 1 & 60319 & 1.234649 & NaN & NaN & NaN \\ +521 & 1849 & 703 & 1 & 60319 & NaN & NaN & 0.266396 & NaN \\ +522 & 1849 & 705 & 1 & 60319 & NaN & NaN & 0.171262 & NaN \\ +523 & 1849 & 706 & 1 & 60319 & NaN & NaN & 1.183819 & NaN \\ +524 & 1849 & 707 & 1 & 60319 & NaN & NaN & 1.111653 & NaN \\ +731 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.525720 \\ +223 & 1849 & 709 & 1 & 110319 & 0.514176 & NaN & NaN & NaN \\ +224 & 1849 & 710 & 1 & 110319 & 0.746264 & NaN & NaN & NaN \\ +225 & 1849 & 711 & 1 & 110319 & 0.558826 & NaN & NaN & NaN \\ +226 & 1849 & 712 & 1 & 110319 & 0.241436 & NaN & NaN & NaN \\ +227 & 1849 & 713 & 1 & 110319 & 0.464695 & NaN & NaN & NaN \\ +228 & 1849 & 714 & 1 & 110319 & 1.013985 & 0.437387 & NaN & NaN \\ +229 & 1849 & 715 & 1 & 110319 & 0.326255 & 0.180928 & NaN & NaN \\ +286 & 1849 & 716 & 1 & 110319 & NaN & 0.741767 & NaN & NaN \\ +287 & 1849 & 717 & 1 & 110319 & NaN & 0.251033 & NaN & NaN \\ +288 & 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0.168094 & NaN & NaN & NaN \\ +264 & 1849 & 736 & 1 & 280219 & 0.317821 & NaN & NaN & NaN \\ +265 & 1849 & 737 & 1 & 280219 & 0.149519 & NaN & NaN & NaN \\ +266 & 1849 & 738 & 1 & 280219 & 0.138001 & NaN & NaN & NaN \\ +362 & 1849 & 739 & 1 & 280219 & NaN & 0.520749 & NaN & 0.198346 \\ +363 & 1849 & 740 & 1 & 280219 & NaN & 0.202949 & NaN & NaN \\ +542 & 1849 & 741 & 1 & 280219 & NaN & NaN & 1.087317 & NaN \\ +543 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.762163 & NaN \\ +678 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.304499 \\ +679 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.289934 \\ +138 & 1849 & 745 & 2 & 10319 & 0.708723 & NaN & NaN & NaN \\ +139 & 1849 & 746 & 2 & 10319 & 0.241175 & NaN & NaN & NaN \\ +140 & 1849 & 747 & 2 & 10319 & 1.005312 & NaN & NaN & NaN \\ +39 & 1849 & 750 & 2 & 220319 & 1.044918 & 0.232600 & 0.950928 & 0.234968 \\ +420 & 1849 & 752 & 2 & 60319 & NaN & 0.327030 & NaN & 0.314531 \\ +525 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.281593 & NaN \\ +732 & 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+280,1849,932,7,280219,0.05099474717137858,,, +281,1849,933,7,280219,0.031221562992735194,,, +374,1849,934,7,280219,,0.056048065689468934,, +375,1849,935,7,280219,,0.13382170747077754,, +376,1849,936,7,280219,,0.13119384653147176,, +377,1849,937,7,280219,,0.13142240631058058,, +553,1849,938,7,280219,,,0.5655332838264595, +554,1849,939,7,280219,,,0.4720200861031649, +687,1849,940,7,280219,,,,0.19025454139751125 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_peak.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_peak.tex new file mode 100644 index 000000000..6d1d43549 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_bs_theta_peak.tex @@ -0,0 +1,769 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +237 & 1833 & 0 & 0 & 20719 & 0.576678 & NaN & 0.489319 & 0.114744 \\ +0 & 1833 & 1 & 0 & 260619 & 0.253723 & NaN & 0.246554 & 0.023071 \\ +15 & 1833 & 2 & 0 & 10719 & 0.059559 & NaN & NaN & NaN \\ +16 & 1833 & 3 & 0 & 10719 & 0.309546 & 0.046280 & NaN & NaN \\ +17 & 1833 & 4 & 0 & 10719 & 0.425927 & 0.109895 & NaN & NaN \\ +501 & 1833 & 6 & 0 & 10719 & NaN & 0.082194 & NaN & NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.050907 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 0.244278 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 0.227662 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 0.284654 & 0.054676 & 0.170836 & 0.041617 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.038730 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.039465 & 0.279382 & 0.054633 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.022268 & 0.448472 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.081793 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.117873 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.063055 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.054993 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.248126 \\ +131 & 1833 & 21 & 0 & 120619 & 0.290028 & 0.116154 & 0.272885 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 0.280865 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.015103 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.181703 & 0.038459 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.067336 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.034014 \\ +1 & 1833 & 30 & 0 & 260619 & 0.396103 & NaN & 0.354830 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 0.124176 & 0.021292 & 0.070474 & 0.013579 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.064390 & 0.119735 & 0.019112 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.089503 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.033100 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 0.200384 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 0.183354 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 0.054411 & 0.024085 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 0.490834 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 0.482658 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.024733 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 0.172729 & NaN & 0.520472 & 0.051475 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.040867 & NaN & NaN \\ +506 & 1833 & 54 & 1 & 10719 & NaN & 0.038511 & NaN & NaN \\ +507 & 1833 & 55 & 1 & 10719 & NaN & 0.041255 & NaN & NaN \\ +241 & 1833 & 56 & 1 & 20719 & 0.574857 & NaN & NaN & NaN \\ +242 & 1833 & 57 & 1 & 20719 & 0.232872 & NaN & 0.128414 & NaN \\ +243 & 1833 & 58 & 1 & 20719 & 0.097813 & 0.036552 & 0.024679 & NaN \\ +447 & 1833 & 59 & 1 & 20719 & NaN & 0.015221 & NaN & NaN \\ +592 & 1833 & 60 & 1 & 20719 & NaN & NaN & 0.451932 & NaN \\ +689 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.031887 \\ +690 & 1833 & 62 & 1 & 20719 & NaN & NaN & NaN & 0.069069 \\ +691 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.035869 \\ +782 & 1833 & 70 & 1 & 60619 & NaN & NaN & NaN & 0.146091 \\ +132 & 1833 & 72 & 1 & 120619 & 0.717180 & NaN & NaN & NaN \\ +253 & 1833 & 74 & 1 & 200619 & 0.617471 & NaN & NaN & NaN \\ +458 & 1833 & 75 & 1 & 200619 & NaN & 0.096492 & NaN & NaN \\ +653 & 1833 & 76 & 1 & 200619 & NaN & NaN & 0.607691 & 0.089170 \\ +3 & 1833 & 78 & 1 & 260619 & 0.420028 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.310221 & 0.111336 & NaN & NaN \\ +309 & 1833 & 80 & 1 & 260619 & NaN & 0.138465 & NaN & NaN \\ +644 & 1833 & 82 & 1 & 260619 & NaN & NaN & 0.559590 & 0.040829 \\ +645 & 1833 & 83 & 1 & 260619 & NaN & NaN & 0.047713 & NaN \\ +754 & 1833 & 85 & 1 & 260619 & NaN & NaN & NaN & 0.032933 \\ +755 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.055178 \\ +81 & 1833 & 87 & 1 & 290519 & 0.242097 & NaN & NaN & NaN \\ +469 & 1833 & 90 & 1 & 290519 & NaN & 0.030746 & NaN & NaN \\ +470 & 1833 & 91 & 1 & 290519 & NaN & 0.073365 & NaN & NaN \\ +471 & 1833 & 92 & 1 & 290519 & NaN & 0.027037 & NaN & NaN \\ +555 & 1833 & 93 & 1 & 290519 & NaN & NaN & 0.565144 & NaN \\ +768 & 1833 & 95 & 1 & 290519 & NaN & NaN & NaN & 0.152989 \\ +23 & 1833 & 96 & 2 & 10719 & 0.537909 & 0.065238 & NaN & NaN \\ +508 & 1833 & 98 & 2 & 10719 & NaN & 0.049910 & NaN & NaN \\ +448 & 1833 & 100 & 2 & 20719 & NaN & 0.076661 & NaN & NaN \\ +449 & 1833 & 101 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +450 & 1833 & 102 & 2 & 20719 & NaN & 0.058080 & NaN & NaN \\ +593 & 1833 & 103 & 2 & 20719 & NaN & NaN & 0.133714 & NaN \\ +594 & 1833 & 104 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +692 & 1833 & 105 & 2 & 20719 & NaN & NaN & NaN & 0.060784 \\ +50 & 1833 & 106 & 2 & 50619 & 0.122227 & 0.017445 & NaN & NaN \\ +133 & 1833 & 109 & 2 & 120619 & 0.717205 & NaN & 0.123067 & NaN \\ +400 & 1833 & 110 & 2 & 120619 & NaN & 0.105439 & NaN & NaN \\ +310 & 1833 & 114 & 2 & 260619 & NaN & 0.078007 & NaN & NaN \\ +472 & 1833 & 115 & 2 & 290519 & NaN & 0.170907 & NaN & NaN \\ +473 & 1833 & 116 & 2 & 290519 & NaN & 0.237039 & NaN & NaN \\ +474 & 1833 & 117 & 2 & 290519 & NaN & 0.186251 & NaN & NaN \\ +24 & 1833 & 118 & 3 & 10719 & 0.307830 & NaN & NaN & NaN \\ +25 & 1833 & 119 & 3 & 10719 & 0.265707 & NaN & NaN & NaN \\ +26 & 1833 & 121 & 3 & 10719 & 0.023347 & 0.057231 & NaN & NaN \\ +509 & 1833 & 122 & 3 & 10719 & NaN & 0.033711 & NaN & NaN \\ +510 & 1833 & 123 & 3 & 10719 & NaN & 0.030205 & NaN & NaN \\ +511 & 1833 & 124 & 3 & 10719 & NaN & 0.036544 & NaN & NaN \\ +512 & 1833 & 125 & 3 & 10719 & NaN & 0.023911 & NaN & NaN \\ +513 & 1833 & 126 & 3 & 10719 & NaN & 0.016449 & NaN & NaN \\ +514 & 1833 & 127 & 3 & 10719 & NaN & 0.025875 & NaN & NaN \\ +515 & 1833 & 128 & 3 & 10719 & NaN & 0.056242 & NaN & NaN \\ +245 & 1833 & 129 & 3 & 20719 & 0.072226 & NaN & NaN & NaN \\ +246 & 1833 & 130 & 3 & 20719 & 0.448910 & 0.074480 & 0.290158 & NaN \\ +247 & 1833 & 131 & 3 & 20719 & 0.249861 & NaN & 0.307228 & NaN \\ +248 & 1833 & 132 & 3 & 20719 & 0.161385 & NaN & 0.066632 & NaN \\ +451 & 1833 & 133 & 3 & 20719 & NaN & 0.041190 & NaN & NaN \\ +452 & 1833 & 134 & 3 & 20719 & NaN & 0.027592 & NaN & NaN \\ +453 & 1833 & 135 & 3 & 20719 & NaN & 0.059695 & NaN & NaN \\ +595 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.067720 & NaN \\ +693 & 1833 & 138 & 3 & 20719 & NaN & NaN & NaN & 0.079705 \\ +694 & 1833 & 139 & 3 & 20719 & NaN & NaN & NaN & 0.040083 \\ +695 & 1833 & 140 & 3 & 20719 & NaN & NaN & NaN & 0.027309 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.060860 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & 0.111743 & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.037644 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.153716 & 0.032865 \\ +5 & 1833 & 150 & 3 & 260619 & 0.299498 & 0.052310 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.095964 & 0.015002 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.046398 \\ +82 & 1833 & 156 & 3 & 290519 & 0.163364 & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.024235 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.022452 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.247314 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.226656 & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.037856 & NaN \\ +134 & 1833 & 168 & 4 & 120619 & 0.041676 & 0.020720 & 0.055570 & 0.032863 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.044680 & NaN & NaN \\ +402 & 1833 & 171 & 4 & 120619 & NaN & 0.044123 & NaN & NaN \\ +576 & 1833 & 172 & 4 & 120619 & NaN & NaN & 0.159257 & NaN \\ +577 & 1833 & 173 & 4 & 120619 & NaN & NaN & 0.026197 & NaN \\ +255 & 1833 & 174 & 4 & 200619 & 0.028114 & NaN & NaN & NaN \\ +460 & 1833 & 175 & 4 & 200619 & NaN & 0.031743 & NaN & NaN \\ +655 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.121723 & NaN \\ +719 & 1833 & 177 & 4 & 200619 & NaN & NaN & NaN & 0.089639 \\ +83 & 1833 & 178 & 4 & 290519 & 0.086903 & NaN & NaN & NaN \\ +84 & 1833 & 179 & 4 & 290519 & 0.326399 & NaN & NaN & NaN \\ +556 & 1833 & 183 & 4 & 290519 & NaN & NaN & 0.389775 & NaN \\ +27 & 1833 & 185 & 5 & 10719 & 0.409056 & NaN & NaN & NaN \\ +28 & 1833 & 186 & 5 & 10719 & 0.129889 & NaN & NaN & NaN \\ +29 & 1833 & 187 & 5 & 10719 & 0.173205 & NaN & NaN & NaN \\ +517 & 1833 & 189 & 5 & 10719 & NaN & 0.055840 & NaN & NaN \\ +249 & 1833 & 190 & 5 & 20719 & 0.679515 & NaN & NaN & NaN \\ +454 & 1833 & 191 & 5 & 20719 & NaN & 0.091755 & NaN & NaN \\ +455 & 1833 & 192 & 5 & 20719 & NaN & 0.037960 & NaN & NaN \\ +598 & 1833 & 193 & 5 & 20719 & NaN & NaN & 0.174722 & NaN \\ +696 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & 0.057481 \\ +599 & 1833 & 195 & 5 & 20719 & NaN & NaN & 0.146549 & 0.021936 \\ +785 & 1833 & 197 & 5 & 60619 & NaN & NaN & NaN & 0.154544 \\ +786 & 1833 & 199 & 5 & 60619 & NaN & NaN & NaN & 0.117587 \\ +403 & 1833 & 202 & 5 & 120619 & NaN & 0.069286 & NaN & NaN \\ +656 & 1833 & 204 & 5 & 200619 & NaN & NaN & 0.399160 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 0.636549 & NaN & NaN & NaN \\ +311 & 1833 & 206 & 5 & 260619 & NaN & 0.085619 & 0.392278 & NaN \\ +647 & 1833 & 208 & 5 & 260619 & NaN & NaN & 0.050361 & NaN \\ +757 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.015958 \\ +85 & 1833 & 212 & 5 & 290519 & 0.350404 & NaN & NaN & NaN \\ +86 & 1833 & 213 & 5 & 290519 & 0.067002 & NaN & NaN & NaN \\ +87 & 1833 & 214 & 5 & 290519 & 0.365434 & NaN & NaN & NaN \\ +557 & 1833 & 216 & 5 & 290519 & NaN & NaN & 0.484958 & 0.119541 \\ +558 & 1833 & 217 & 5 & 290519 & NaN & NaN & 0.485937 & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.131630 \\ +30 & 1833 & 219 & 6 & 10719 & 0.253304 & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & 0.075449 & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & 0.258864 & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & 0.047712 & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 0.071910 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & 0.820644 & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 0.086674 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.183330 & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & 0.715746 & 0.158772 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.067439 \\ +52 & 1833 & 230 & 6 & 50619 & 0.057096 & 0.037338 & NaN & NaN \\ +53 & 1833 & 231 & 6 & 50619 & 0.268410 & 0.049791 & NaN & NaN \\ +54 & 1833 & 232 & 6 & 50619 & 0.277121 & 0.020374 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & 0.244011 & 0.045663 & NaN & NaN \\ +579 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.069727 & 0.027964 \\ +397 & 1833 & 235 & 6 & 50619 & NaN & 0.021471 & NaN & NaN \\ +398 & 1833 & 236 & 6 & 50619 & NaN & 0.109760 & NaN & NaN \\ +580 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.083046 & 0.025831 \\ +790 & 1833 & 241 & 6 & 60619 & NaN & NaN & NaN & 0.025912 \\ +791 & 1833 & 242 & 6 & 60619 & NaN & NaN & NaN & 0.057088 \\ +8 & 1833 & 243 & 6 & 260619 & 0.114212 & 0.040383 & 0.081771 & NaN \\ +404 & 1833 & 244 & 6 & 120619 & NaN & 0.027477 & 0.205299 & NaN \\ +581 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.104407 & NaN \\ +582 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.146555 & NaN \\ +764 & 1833 & 247 & 6 & 120619 & NaN & NaN & NaN & 0.030754 \\ +765 & 1833 & 248 & 6 & 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NaN & 0.135278 & NaN & NaN \\ +490 & 1839 & 599 & 4 & 200619 & NaN & 0.078577 & NaN & NaN \\ +491 & 1839 & 600 & 4 & 200619 & NaN & 0.060685 & NaN & NaN \\ +71 & 1839 & 601 & 4 & 290519 & 0.064235 & NaN & NaN & NaN \\ +72 & 1839 & 602 & 4 & 290519 & 0.576677 & 0.128381 & NaN & NaN \\ +339 & 1839 & 603 & 4 & 290519 & NaN & 0.043388 & NaN & NaN \\ +283 & 1839 & 606 & 5 & 60619 & NaN & 0.136249 & NaN & 0.058826 \\ +567 & 1839 & 607 & 5 & 60619 & NaN & NaN & 0.046914 & NaN \\ +778 & 1839 & 608 & 5 & 60619 & NaN & NaN & NaN & 0.033752 \\ +67 & 1839 & 609 & 5 & 120619 & 0.179209 & NaN & NaN & NaN \\ +480 & 1839 & 610 & 5 & 120619 & NaN & 0.019342 & NaN & NaN \\ +481 & 1839 & 611 & 5 & 120619 & NaN & 0.036215 & NaN & NaN \\ +639 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.255927 & NaN \\ +103 & 1839 & 613 & 5 & 200619 & 0.245414 & NaN & NaN & NaN \\ +492 & 1839 & 614 & 5 & 200619 & NaN & 0.074866 & NaN & NaN \\ +73 & 1839 & 615 & 5 & 290519 & 0.060904 & NaN & NaN & NaN \\ +74 & 1839 & 616 & 5 & 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0.158038 & 0.050077 \\ +670 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.024711 \\ +104 & 1839 & 661 & 7 & 200619 & 0.230386 & NaN & NaN & NaN \\ +498 & 1839 & 662 & 7 & 200619 & NaN & 0.017250 & NaN & NaN \\ +499 & 1839 & 663 & 7 & 200619 & NaN & 0.024897 & NaN & NaN \\ +500 & 1839 & 664 & 7 & 200619 & NaN & 0.128556 & NaN & NaN \\ +77 & 1839 & 665 & 7 & 290519 & 0.052703 & NaN & NaN & NaN \\ +78 & 1839 & 666 & 7 & 290519 & 0.247507 & NaN & NaN & NaN \\ +79 & 1839 & 667 & 7 & 290519 & 0.020261 & NaN & NaN & NaN \\ +80 & 1839 & 668 & 7 & 290519 & 0.140903 & NaN & NaN & NaN \\ +347 & 1839 & 669 & 7 & 290519 & NaN & 0.108016 & NaN & NaN \\ +348 & 1839 & 670 & 7 & 290519 & NaN & 0.051105 & NaN & NaN \\ +349 & 1839 & 671 & 7 & 290519 & NaN & 0.027839 & NaN & NaN \\ +350 & 1839 & 672 & 7 & 290519 & NaN & 0.043720 & NaN & NaN \\ +149 & 1849 & 674 & 0 & 60319 & 0.052648 & NaN & NaN & NaN \\ +222 & 1849 & 675 & 0 & 110319 & 0.752527 & NaN & NaN & NaN \\ +285 & 1849 & 676 & 0 & 110319 & NaN 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NaN & NaN \\ +216 & 1849 & 829 & 4 & 150319 & 0.167538 & NaN & NaN & NaN \\ +355 & 1849 & 832 & 4 & 150319 & NaN & 0.114532 & NaN & NaN \\ +573 & 1849 & 833 & 4 & 150319 & NaN & NaN & 0.063657 & NaN \\ +745 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.692552 \\ +44 & 1849 & 837 & 4 & 220319 & 0.046031 & NaN & NaN & NaN \\ +45 & 1849 & 838 & 4 & 220319 & 0.097375 & NaN & NaN & NaN \\ +46 & 1849 & 839 & 4 & 220319 & 0.248821 & NaN & NaN & NaN \\ +322 & 1849 & 840 & 4 & 220319 & NaN & 0.079726 & NaN & NaN \\ +370 & 1849 & 843 & 4 & 280219 & NaN & 0.050014 & NaN & NaN \\ +547 & 1849 & 845 & 4 & 280219 & NaN & NaN & 0.562630 & NaN \\ +144 & 1849 & 848 & 5 & 10319 & 0.127317 & NaN & NaN & NaN \\ +145 & 1849 & 849 & 5 & 10319 & 0.160137 & NaN & NaN & NaN \\ +159 & 1849 & 851 & 5 & 60319 & 0.662908 & NaN & NaN & NaN \\ +160 & 1849 & 852 & 5 & 60319 & 0.524742 & NaN & NaN & NaN \\ +161 & 1849 & 853 & 5 & 60319 & 0.633112 & NaN & NaN & NaN \\ +424 & 1849 & 854 & 5 & 60319 & NaN & 0.136525 & 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& NaN \\ +502 & 1833 & 7 & 0 & 10719 & NaN & 0.040746 & NaN & NaN \\ +238 & 1833 & 8 & 0 & 20719 & 0.193439 & NaN & NaN & NaN \\ +239 & 1833 & 9 & 0 & 20719 & 0.544685 & NaN & NaN & NaN \\ +240 & 1833 & 10 & 0 & 20719 & 0.144862 & 0.003177 & 0.152993 & 0.009361 \\ +442 & 1833 & 12 & 0 & 20719 & NaN & 0.012417 & NaN & NaN \\ +443 & 1833 & 13 & 0 & 20719 & NaN & 0.039942 & 0.280399 & 0.001757 \\ +444 & 1833 & 14 & 0 & 20719 & NaN & 0.019377 & 0.228233 & NaN \\ +589 & 1833 & 15 & 0 & 20719 & NaN & NaN & 0.612897 & NaN \\ +590 & 1833 & 16 & 0 & 20719 & NaN & NaN & 0.243403 & NaN \\ +591 & 1833 & 17 & 0 & 20719 & NaN & NaN & 0.477730 & NaN \\ +688 & 1833 & 18 & 0 & 20719 & NaN & NaN & NaN & 0.013778 \\ +781 & 1833 & 20 & 0 & 60619 & NaN & NaN & NaN & 0.013506 \\ +131 & 1833 & 21 & 0 & 120619 & 0.661581 & 0.033759 & 0.609027 & NaN \\ +251 & 1833 & 23 & 0 & 200619 & 0.126461 & NaN & NaN & NaN \\ +457 & 1833 & 24 & 0 & 200619 & NaN & 0.015231 & NaN & NaN \\ +652 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.153675 & 0.022570 \\ +717 & 1833 & 28 & 0 & 200619 & NaN & NaN & NaN & 0.037208 \\ +718 & 1833 & 29 & 0 & 200619 & NaN & NaN & NaN & 0.046999 \\ +1 & 1833 & 30 & 0 & 260619 & 0.367033 & NaN & 0.365376 & NaN \\ +2 & 1833 & 32 & 0 & 260619 & 0.189168 & 0.024590 & 0.170585 & 0.027328 \\ +308 & 1833 & 35 & 0 & 260619 & NaN & 0.017820 & 0.142141 & 0.006264 \\ +643 & 1833 & 36 & 0 & 260619 & NaN & NaN & 0.101028 & NaN \\ +468 & 1833 & 41 & 0 & 290519 & NaN & 0.021636 & NaN & NaN \\ +18 & 1833 & 45 & 1 & 10719 & 0.238048 & NaN & NaN & NaN \\ +19 & 1833 & 46 & 1 & 10719 & 0.227790 & NaN & NaN & NaN \\ +20 & 1833 & 47 & 1 & 10719 & 0.107576 & 0.034919 & NaN & NaN \\ +21 & 1833 & 48 & 1 & 10719 & 0.372438 & NaN & NaN & NaN \\ +22 & 1833 & 49 & 1 & 10719 & 0.239539 & NaN & NaN & NaN \\ +445 & 1833 & 50 & 1 & 20719 & NaN & 0.017333 & NaN & NaN \\ +252 & 1833 & 51 & 1 & 200619 & 0.201796 & NaN & 0.272950 & 0.003929 \\ +505 & 1833 & 53 & 1 & 10719 & NaN & 0.069613 & NaN & NaN \\ +506 & 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0.012378 \\ +401 & 1833 & 144 & 3 & 120619 & NaN & 0.039216 & NaN & NaN \\ +254 & 1833 & 145 & 3 & 200619 & 0.196953 & NaN & NaN & NaN \\ +459 & 1833 & 148 & 3 & 200619 & NaN & 0.028373 & NaN & NaN \\ +654 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.098570 & 0.006479 \\ +5 & 1833 & 150 & 3 & 260619 & 0.195752 & 0.021015 & NaN & NaN \\ +646 & 1833 & 152 & 3 & 260619 & NaN & NaN & 0.138279 & 0.000978 \\ +756 & 1833 & 153 & 3 & 260619 & NaN & NaN & NaN & 0.009171 \\ +82 & 1833 & 156 & 3 & 290519 & 0.643672 & NaN & NaN & NaN \\ +475 & 1833 & 158 & 3 & 290519 & NaN & 0.036634 & NaN & NaN \\ +476 & 1833 & 159 & 3 & 290519 & NaN & 0.020467 & NaN & NaN \\ +516 & 1833 & 162 & 4 & 10719 & NaN & 0.029557 & NaN & NaN \\ +596 & 1833 & 165 & 4 & 20719 & NaN & NaN & 0.375014 & NaN \\ +597 & 1833 & 166 & 4 & 20719 & NaN & NaN & 0.336932 & NaN \\ +134 & 1833 & 168 & 4 & 120619 & 0.061241 & 0.044005 & 0.072376 & 0.015547 \\ +395 & 1833 & 169 & 4 & 50619 & NaN & 0.022113 & NaN & NaN \\ +402 & 1833 & 171 & 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& 217 & 5 & 290519 & NaN & NaN & 0.357526 & NaN \\ +769 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.006766 \\ +30 & 1833 & 219 & 6 & 10719 & 0.152759 & NaN & NaN & NaN \\ +31 & 1833 & 220 & 6 & 10719 & 0.060562 & NaN & NaN & NaN \\ +32 & 1833 & 221 & 6 & 10719 & 0.116483 & NaN & NaN & NaN \\ +33 & 1833 & 222 & 6 & 10719 & 0.137184 & NaN & NaN & NaN \\ +518 & 1833 & 223 & 6 & 10719 & NaN & 0.020472 & NaN & NaN \\ +250 & 1833 & 224 & 6 & 20719 & 0.532660 & NaN & NaN & NaN \\ +456 & 1833 & 225 & 6 & 20719 & NaN & 0.007948 & NaN & NaN \\ +600 & 1833 & 226 & 6 & 20719 & NaN & NaN & 0.118584 & NaN \\ +601 & 1833 & 227 & 6 & 20719 & NaN & NaN & 0.426654 & 0.017615 \\ +697 & 1833 & 228 & 6 & 20719 & NaN & NaN & NaN & 0.012523 \\ +52 & 1833 & 230 & 6 & 50619 & 0.191807 & 0.006706 & NaN & NaN \\ +53 & 1833 & 231 & 6 & 50619 & 0.207140 & 0.014487 & NaN & NaN \\ +54 & 1833 & 232 & 6 & 50619 & 0.160391 & 0.024291 & NaN & NaN \\ +135 & 1833 & 233 & 6 & 120619 & 0.138508 & 0.008692 & NaN & NaN \\ 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NaN \\ +100 & 1833 & 317 & 7 & 290519 & 0.136782 & NaN & 0.002119 & NaN \\ +565 & 1833 & 322 & 7 & 290519 & NaN & NaN & 0.044529 & NaN \\ +774 & 1833 & 323 & 7 & 290519 & NaN & NaN & NaN & 0.013753 \\ +775 & 1833 & 325 & 7 & 290519 & NaN & NaN & NaN & 0.020833 \\ +776 & 1833 & 326 & 7 & 290519 & NaN & NaN & NaN & 0.007007 \\ +117 & 1834 & 327 & 0 & 10319 & 0.298285 & NaN & NaN & NaN \\ +118 & 1834 & 328 & 0 & 10319 & 0.128388 & NaN & NaN & NaN \\ +378 & 1834 & 329 & 0 & 10319 & NaN & 0.073145 & NaN & NaN \\ +379 & 1834 & 330 & 0 & 10319 & NaN & 0.104814 & NaN & NaN \\ +105 & 1834 & 332 & 0 & 110319 & 0.024352 & 0.027164 & NaN & NaN \\ +184 & 1834 & 333 & 0 & 60319 & 0.102438 & NaN & NaN & NaN \\ +185 & 1834 & 334 & 0 & 60319 & 0.185542 & NaN & NaN & NaN \\ +186 & 1834 & 335 & 0 & 60319 & 0.177875 & NaN & NaN & NaN \\ +187 & 1834 & 336 & 0 & 60319 & 0.150061 & NaN & NaN & NaN \\ +188 & 1834 & 337 & 0 & 60319 & 0.254281 & NaN & NaN & NaN \\ +189 & 1834 & 338 & 0 & 60319 & 0.257669 & NaN 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NaN & NaN \\ +386 & 1834 & 410 & 5 & 10319 & NaN & 0.044909 & NaN & NaN \\ +387 & 1834 & 411 & 5 & 10319 & NaN & 0.035020 & 0.273535 & NaN \\ +628 & 1834 & 412 & 5 & 10319 & NaN & NaN & 0.358712 & NaN \\ +726 & 1834 & 413 & 5 & 10319 & NaN & NaN & NaN & 0.004014 \\ +727 & 1834 & 414 & 5 & 10319 & NaN & NaN & NaN & 0.000381 \\ +193 & 1834 & 415 & 5 & 60319 & 0.140900 & NaN & NaN & NaN \\ +409 & 1834 & 416 & 5 & 60319 & NaN & 0.009860 & NaN & NaN \\ +410 & 1834 & 417 & 5 & 60319 & NaN & 0.003336 & 0.410922 & 0.008633 \\ +585 & 1834 & 418 & 5 & 60319 & NaN & NaN & 0.361564 & NaN \\ +586 & 1834 & 419 & 5 & 60319 & NaN & NaN & 0.351092 & NaN \\ +107 & 1834 & 420 & 5 & 110319 & 0.373293 & NaN & NaN & NaN \\ +749 & 1834 & 421 & 5 & 60319 & NaN & NaN & NaN & 0.011888 \\ +108 & 1834 & 422 & 5 & 110319 & 0.331144 & NaN & NaN & NaN \\ +109 & 1834 & 423 & 5 & 110319 & 0.374873 & 0.005083 & NaN & NaN \\ +431 & 1834 & 424 & 5 & 110319 & NaN & 0.007663 & NaN & NaN \\ +432 & 1834 & 425 & 5 & 110319 & 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647 & 6 & 200619 & NaN & 0.033150 & NaN & NaN \\ +496 & 1839 & 648 & 6 & 200619 & NaN & 0.029637 & NaN & NaN \\ +497 & 1839 & 650 & 6 & 200619 & NaN & 0.039115 & NaN & NaN \\ +75 & 1839 & 651 & 6 & 290519 & 0.122889 & NaN & NaN & NaN \\ +76 & 1839 & 652 & 6 & 290519 & 0.387874 & NaN & NaN & NaN \\ +344 & 1839 & 653 & 6 & 290519 & NaN & 0.026649 & NaN & NaN \\ +345 & 1839 & 654 & 6 & 290519 & NaN & 0.029730 & NaN & NaN \\ +205 & 1839 & 655 & 7 & 60619 & 0.247085 & 0.034505 & NaN & 0.019525 \\ +568 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.085332 & 0.021633 \\ +346 & 1839 & 657 & 7 & 290519 & NaN & 0.021987 & NaN & NaN \\ +68 & 1839 & 658 & 7 & 120619 & 0.201731 & NaN & NaN & NaN \\ +642 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.201614 & 0.030012 \\ +670 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.051505 \\ +104 & 1839 & 661 & 7 & 200619 & 0.171628 & NaN & NaN & NaN \\ +498 & 1839 & 662 & 7 & 200619 & NaN & 0.023555 & NaN & NaN \\ +499 & 1839 & 663 & 7 & 200619 & NaN & 0.006636 & NaN 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60319 & NaN & NaN & 0.105419 & NaN \\ +522 & 1849 & 705 & 1 & 60319 & NaN & NaN & 0.004428 & NaN \\ +523 & 1849 & 706 & 1 & 60319 & NaN & NaN & 0.297845 & NaN \\ +524 & 1849 & 707 & 1 & 60319 & NaN & NaN & 0.288716 & NaN \\ +731 & 1849 & 708 & 1 & 60319 & NaN & NaN & NaN & 0.009605 \\ +223 & 1849 & 709 & 1 & 110319 & 0.309421 & NaN & NaN & NaN \\ +224 & 1849 & 710 & 1 & 110319 & 0.296360 & NaN & NaN & NaN \\ +225 & 1849 & 711 & 1 & 110319 & 0.344103 & NaN & NaN & NaN \\ +226 & 1849 & 712 & 1 & 110319 & 0.203804 & NaN & NaN & NaN \\ +227 & 1849 & 713 & 1 & 110319 & 0.421913 & NaN & NaN & NaN \\ +228 & 1849 & 714 & 1 & 110319 & 0.135224 & 0.029425 & NaN & NaN \\ +229 & 1849 & 715 & 1 & 110319 & 0.153461 & 0.083730 & NaN & NaN \\ +286 & 1849 & 716 & 1 & 110319 & NaN & 0.051333 & NaN & NaN \\ +287 & 1849 & 717 & 1 & 110319 & NaN & 0.052980 & NaN & NaN \\ +288 & 1849 & 718 & 1 & 110319 & NaN & 0.052159 & NaN & NaN \\ +208 & 1849 & 720 & 1 & 150319 & 0.394034 & 0.030284 & 0.329709 & NaN \\ 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0.583378 & NaN & NaN & NaN \\ +266 & 1849 & 738 & 1 & 280219 & 0.480461 & NaN & NaN & NaN \\ +362 & 1849 & 739 & 1 & 280219 & NaN & 0.013294 & NaN & 0.033925 \\ +363 & 1849 & 740 & 1 & 280219 & NaN & 0.022109 & NaN & NaN \\ +542 & 1849 & 741 & 1 & 280219 & NaN & NaN & 0.391972 & NaN \\ +543 & 1849 & 742 & 1 & 280219 & NaN & NaN & 0.657320 & NaN \\ +678 & 1849 & 743 & 1 & 280219 & NaN & NaN & NaN & 0.006881 \\ +679 & 1849 & 744 & 1 & 280219 & NaN & NaN & NaN & 0.011163 \\ +138 & 1849 & 745 & 2 & 10319 & 0.180065 & NaN & NaN & NaN \\ +139 & 1849 & 746 & 2 & 10319 & 0.123992 & NaN & NaN & NaN \\ +140 & 1849 & 747 & 2 & 10319 & 0.292878 & NaN & NaN & NaN \\ +39 & 1849 & 750 & 2 & 220319 & 0.278072 & 0.017641 & 0.306023 & 0.005950 \\ +420 & 1849 & 752 & 2 & 60319 & NaN & 0.022664 & NaN & 0.003256 \\ +525 & 1849 & 754 & 2 & 60319 & NaN & NaN & 0.197304 & NaN \\ +732 & 1849 & 755 & 2 & 60319 & NaN & NaN & NaN & 0.006109 \\ +231 & 1849 & 756 & 2 & 110319 & 0.056841 & 0.041753 & NaN & NaN \\ 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1849 & 795 & 3 & 220319 & 0.280763 & NaN & NaN & NaN \\ +42 & 1849 & 796 & 3 & 220319 & 0.232315 & NaN & NaN & NaN \\ +43 & 1849 & 797 & 3 & 220319 & 0.265763 & NaN & NaN & NaN \\ +320 & 1849 & 798 & 3 & 220319 & NaN & 0.032526 & NaN & NaN \\ +321 & 1849 & 799 & 3 & 220319 & NaN & 0.009477 & NaN & NaN \\ +615 & 1849 & 800 & 3 & 220319 & NaN & NaN & 0.034798 & NaN \\ +616 & 1849 & 801 & 3 & 220319 & NaN & NaN & 0.359133 & NaN \\ +617 & 1849 & 802 & 3 & 220319 & NaN & NaN & 0.117956 & NaN \\ +794 & 1849 & 803 & 3 & 220319 & NaN & NaN & NaN & 0.019083 \\ +795 & 1849 & 804 & 3 & 220319 & NaN & NaN & NaN & 0.011449 \\ +796 & 1849 & 805 & 3 & 220319 & NaN & NaN & NaN & 0.022618 \\ +271 & 1849 & 806 & 3 & 280219 & 0.138629 & NaN & NaN & NaN \\ +272 & 1849 & 807 & 3 & 280219 & 0.052791 & NaN & NaN & NaN \\ +273 & 1849 & 808 & 3 & 280219 & 0.025442 & NaN & NaN & NaN \\ +366 & 1849 & 810 & 3 & 280219 & NaN & 0.033039 & NaN & NaN \\ +367 & 1849 & 811 & 3 & 280219 & NaN & 0.034815 & NaN & NaN \\ 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0.006205 \\ +44 & 1849 & 837 & 4 & 220319 & 0.496122 & NaN & NaN & NaN \\ +45 & 1849 & 838 & 4 & 220319 & 0.433077 & NaN & NaN & NaN \\ +46 & 1849 & 839 & 4 & 220319 & 0.422623 & NaN & NaN & NaN \\ +322 & 1849 & 840 & 4 & 220319 & NaN & 0.025120 & NaN & NaN \\ +370 & 1849 & 843 & 4 & 280219 & NaN & 0.102088 & NaN & NaN \\ +547 & 1849 & 845 & 4 & 280219 & NaN & NaN & 0.479088 & NaN \\ +144 & 1849 & 848 & 5 & 10319 & 0.571749 & NaN & NaN & NaN \\ +145 & 1849 & 849 & 5 & 10319 & 0.571791 & NaN & NaN & NaN \\ +159 & 1849 & 851 & 5 & 60319 & 0.342038 & NaN & NaN & NaN \\ +160 & 1849 & 852 & 5 & 60319 & 0.393987 & NaN & NaN & NaN \\ +161 & 1849 & 853 & 5 & 60319 & 0.425337 & NaN & NaN & NaN \\ +424 & 1849 & 854 & 5 & 60319 & NaN & 0.008048 & 0.437018 & NaN \\ +425 & 1849 & 855 & 5 & 60319 & NaN & 0.038925 & NaN & NaN \\ +734 & 1849 & 856 & 5 & 60319 & NaN & NaN & NaN & 0.003568 \\ +234 & 1849 & 857 & 5 & 110319 & 0.589231 & NaN & NaN & NaN \\ +235 & 1849 & 858 & 5 & 110319 & 0.458945 & NaN & NaN & NaN \\ +236 & 1849 & 859 & 5 & 110319 & 0.308432 & NaN & NaN & NaN \\ +291 & 1849 & 860 & 5 & 110319 & NaN & 0.029795 & NaN & NaN \\ +292 & 1849 & 861 & 5 & 110319 & NaN & 0.035317 & NaN & NaN \\ +217 & 1849 & 863 & 5 & 150319 & 0.596966 & NaN & NaN & NaN \\ +218 & 1849 & 864 & 5 & 150319 & 0.180027 & NaN & NaN & NaN \\ +219 & 1849 & 865 & 5 & 150319 & 0.362125 & NaN & NaN & NaN \\ +220 & 1849 & 866 & 5 & 150319 & 0.483618 & NaN & NaN & NaN \\ +356 & 1849 & 867 & 5 & 150319 & NaN & 0.035988 & NaN & NaN \\ +357 & 1849 & 868 & 5 & 150319 & NaN & 0.028267 & 0.318353 & 0.007378 \\ +358 & 1849 & 869 & 5 & 150319 & NaN & 0.045834 & NaN & NaN \\ +359 & 1849 & 870 & 5 & 150319 & NaN & 0.063543 & NaN & NaN \\ +574 & 1849 & 871 & 5 & 150319 & NaN & NaN & 0.360824 & NaN \\ +575 & 1849 & 872 & 5 & 150319 & NaN & NaN & 0.536594 & NaN \\ +746 & 1849 & 873 & 5 & 150319 & NaN & NaN & NaN & 0.010663 \\ +47 & 1849 & 874 & 5 & 220319 & 0.364230 & NaN & NaN & NaN \\ +48 & 1849 & 875 & 5 & 220319 & 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10319 & 0.538617 & NaN & NaN & NaN \\ +162 & 1849 & 900 & 6 & 60319 & 0.555885 & NaN & NaN & NaN \\ +735 & 1849 & 901 & 6 & 60319 & NaN & NaN & NaN & 0.005594 \\ +736 & 1849 & 902 & 6 & 60319 & NaN & NaN & NaN & 0.045044 \\ +275 & 1849 & 903 & 6 & 280219 & 0.091585 & NaN & NaN & NaN \\ +276 & 1849 & 904 & 6 & 280219 & 0.063649 & NaN & NaN & NaN \\ +277 & 1849 & 905 & 6 & 280219 & 0.182331 & NaN & NaN & NaN \\ +278 & 1849 & 906 & 6 & 280219 & 0.135646 & NaN & NaN & NaN \\ +372 & 1849 & 909 & 6 & 280219 & NaN & 0.043276 & NaN & NaN \\ +373 & 1849 & 910 & 6 & 280219 & NaN & 0.036957 & NaN & NaN \\ +549 & 1849 & 912 & 6 & 280219 & NaN & NaN & 0.257424 & NaN \\ +550 & 1849 & 913 & 6 & 280219 & NaN & NaN & 0.406594 & NaN \\ +551 & 1849 & 914 & 6 & 280219 & NaN & NaN & 0.332302 & NaN \\ +552 & 1849 & 915 & 6 & 280219 & NaN & NaN & 0.392599 & NaN \\ +684 & 1849 & 916 & 6 & 280219 & NaN & NaN & NaN & 0.011483 \\ +685 & 1849 & 917 & 6 & 280219 & NaN & NaN & NaN & 0.007034 \\ +148 & 1849 & 918 & 7 & 10319 & 0.486557 & NaN & NaN & NaN \\ +163 & 1849 & 922 & 7 & 60319 & 0.622544 & NaN & NaN & NaN \\ +164 & 1849 & 923 & 7 & 60319 & 0.596041 & NaN & NaN & NaN \\ +426 & 1849 & 924 & 7 & 60319 & NaN & 0.020991 & NaN & NaN \\ +427 & 1849 & 925 & 7 & 60319 & NaN & 0.055949 & NaN & NaN \\ +428 & 1849 & 926 & 7 & 60319 & NaN & 0.068587 & NaN & NaN \\ +526 & 1849 & 928 & 7 & 60319 & NaN & NaN & 0.569943 & NaN \\ +737 & 1849 & 929 & 7 & 60319 & NaN & NaN & NaN & 0.005550 \\ +221 & 1849 & 930 & 7 & 150319 & 0.455343 & NaN & NaN & NaN \\ +279 & 1849 & 931 & 7 & 280219 & 0.377131 & NaN & NaN & NaN \\ +280 & 1849 & 932 & 7 & 280219 & 0.276303 & NaN & NaN & NaN \\ +281 & 1849 & 933 & 7 & 280219 & 0.306686 & NaN & NaN & NaN \\ +374 & 1849 & 934 & 7 & 280219 & NaN & 0.096026 & NaN & NaN \\ +375 & 1849 & 935 & 7 & 280219 & NaN & 0.014073 & NaN & NaN \\ +376 & 1849 & 936 & 7 & 280219 & NaN & 0.059993 & NaN & NaN \\ +377 & 1849 & 937 & 7 & 280219 & NaN & 0.059807 & NaN & NaN \\ +553 & 1849 & 938 & 7 & 280219 & NaN & NaN & 0.452673 & NaN \\ +554 & 1849 & 939 & 7 & 280219 & NaN & NaN & 0.352248 & NaN \\ +687 & 1849 & 940 & 7 & 280219 & NaN & NaN & NaN & 0.016407 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.csv new file mode 100644 index 000000000..85c01f1e5 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, +85,1833,13,0,20719,,0.2757485701028862,,3.0617041296877034 +86,1833,14,0,20719,,4.352889651291293,, +58,1833,23,0,200619,,,, +127,1833,26,0,200619,,,,0.3237111640962907 +0,1833,30,0,260619,,,, +1,1833,31,0,260619,,,,2.7394023823201508 +2,1833,32,0,260619,,5.586295854217439,,4.2959249766951855 +67,1833,35,0,260619,,5.61914097424412,,3.1269278020353086 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+55,1833,129,3,20719,,,, +56,1833,130,3,20719,,4.354407903782747,, +57,1833,132,3,20719,,,, +88,1833,134,3,20719,,4.272113259333226,, +89,1833,135,3,20719,,4.225492913994103,, +118,1833,136,3,20719,,,, +79,1833,144,3,120619,,1.5585725990692452,, +128,1833,149,3,200619,,,,0.7033013904307923 +5,1833,150,3,260619,,5.749957055259143,, +40,1833,168,4,120619,,1.852327785008785,,2.2407373896153633 +80,1833,171,4,120619,,1.5444231117064415,, +59,1833,174,4,200619,,,, +129,1833,176,4,200619,,,, +31,1833,179,4,290519,,,, +17,1833,185,5,10719,,,, +18,1833,186,5,10719,,,, +119,1833,195,5,20719,,,,4.936313406475792 +81,1833,202,5,120619,,1.7761543290155195,, +130,1833,204,5,200619,,,, +6,1833,205,5,260619,,,, +68,1833,206,5,260619,,5.920223190136343,, +141,1833,210,5,260619,,,,3.63398017401858 +32,1833,214,5,290519,,,, +146,1833,218,5,290519,,,,0.3810152901407569 +21,1833,231,6,50619,,1.9079664951711133,, +22,1833,232,6,50619,,1.7461733209175891,, +41,1833,233,6,120619,,2.3832407924507586,, 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+117,1833,302,7,120619,,,, +64,1833,304,7,200619,,5.992158489120327,,1.9068787216316971 +35,1833,317,7,290519,,,, +109,1833,322,7,290519,,,, +75,1834,329,0,10319,,2.7165672014934774,, +47,1834,332,0,60319,,,,2.0688096653123105 +48,1834,338,0,60319,,,, +120,1834,356,2,120319,,,, +44,1834,357,2,220319,,1.4303494688361973,, +45,1834,358,2,220319,,1.4863371289372918,, +46,1834,359,2,220319,,,, +136,1834,360,2,220319,,,,2.3022999179753585 +38,1834,361,3,10319,,2.8552794485684267,, +39,1834,362,3,10319,,,, +76,1834,364,3,10319,,2.646529912973586,, +24,1834,379,3,150319,,,, +70,1834,381,3,150319,,4.3587926286902015,,1.580246579679064 +66,1834,482,6,220319,,1.2630483171906837,, +84,1834,518,7,110319,,6.1902469536952385,, +132,1839,577,1,120619,,,,4.968624815703809 +25,1839,609,5,120619,,,, +96,1839,611,5,120619,,1.6430756238371471,, +122,1839,612,5,120619,,,, +36,1839,613,5,200619,,,, +27,1839,615,5,290519,,,, +28,1839,616,5,290519,,,, +71,1839,617,5,290519,,0.5345560135796354,, +97,1839,629,6,120619,,2.217015985492772,,2.285326068628503 +100,1839,645,6,200619,,6.147537197476454,, +49,1839,655,7,60619,,6.24415345813547,,4.643763531535051 +99,1839,656,7,120619,,1.3892608985281716,, +111,1839,657,7,60619,,,, +26,1839,658,7,120619,,,, +123,1839,659,7,120619,,,,2.374928695995826 +133,1839,660,7,120619,,,,2.1034185588590235 +37,1839,661,7,200619,,,, +29,1839,666,7,290519,,,, +30,1839,667,7,290519,,,, +72,1839,671,7,290519,,6.097444174731335,, +69,1849,684,0,220319,,5.163700016707239,, +50,1849,715,1,110319,,4.3219288503197495,, +73,1849,724,1,280219,,1.3695587894515868,,0.6567270111055064 +139,1849,835,4,150319,,,,2.9780924449925315 +43,1849,851,5,60319,,,, +65,1849,932,7,280219,,,, +74,1849,937,7,280219,,1.474864864098575,, +105,1849,939,7,280219,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.tex new file mode 100644 index 000000000..38d2e91ac --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_ang.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.275749 & NaN & 3.061704 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 4.352890 & NaN & NaN \\ +58 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.323711 \\ +0 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +1 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 2.739402 \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 5.586296 & NaN & 4.295925 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 5.619141 & NaN & 3.126928 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +10 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & NaN & 4.488157 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 4.864007 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 4.528653 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 58 & 1 & 20719 & NaN & 4.063422 & NaN & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 4.383527 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 5.218446 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 5.300030 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 5.411926 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 3.930020 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 6.268934 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.025400 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & NaN & 4.841991 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & NaN & 1.235311 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 1.732285 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 4.949484 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & NaN & 4.542910 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 5.133068 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 4.568462 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & NaN & 4.354408 & NaN & NaN \\ +57 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 4.272113 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 4.225493 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 1.558573 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.703301 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 5.749957 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & NaN & 1.852328 & NaN & 2.240737 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 1.544423 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 4.936313 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 1.776154 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 5.920223 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 3.633980 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.381015 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 1.907966 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 1.746173 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 2.383241 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 1.783926 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 2.770930 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 6.089269 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 2.329668 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 2.287761 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 2.311300 \\ +60 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +61 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & NaN & 0.755528 & NaN & 2.487668 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.504279 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.652653 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 2.028870 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 2.040853 \\ +8 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 2.588380 \\ +9 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 3.111448 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 2.860756 \\ +33 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 1.505640 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 5.992158 & NaN & 1.906879 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 2.716567 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 2.068810 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 1.430349 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 1.486337 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 2.302300 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 2.855279 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 2.646530 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 4.358793 & NaN & 1.580247 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 1.263048 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 6.190247 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 4.968625 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 1.643076 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.534556 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 2.217016 & NaN & 2.285326 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 6.147537 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 6.244153 & NaN & 4.643764 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 1.389261 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 2.374929 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 2.103419 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 6.097444 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 5.163700 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 4.321929 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 1.369559 & NaN & 0.656727 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 2.978092 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 1.474865 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.csv new file mode 100644 index 000000000..6f91ad4c4 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, 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+72,1839,671,7,290519,,0.0035550135614948767,, +69,1849,684,0,220319,,0.2227294947779722,, +50,1849,715,1,110319,,0.07076340754231547,, +73,1849,724,1,280219,,0.16627640060934032,,0.10346659815057424 +139,1849,835,4,150319,,,,0.03117583047069937 +43,1849,851,5,60319,,,, +65,1849,932,7,280219,,,, +74,1849,937,7,280219,,0.1818188153056944,, +105,1849,939,7,280219,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.tex new file mode 100644 index 000000000..e7755886b --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_energy.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.012245 & NaN & 0.158376 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.106060 & NaN & NaN \\ +58 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.072146 \\ +0 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +1 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.090035 \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.054148 & NaN & 0.021332 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.066487 & NaN & 0.047182 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +10 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & NaN & 0.038635 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.007464 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.045304 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 58 & 1 & 20719 & NaN & 0.050425 & NaN & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.032597 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.057290 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.064069 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 0.075558 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.006714 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 0.199001 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.073492 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & NaN & 0.186418 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & NaN & 0.034933 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.033005 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.004411 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & NaN & 0.020516 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.073275 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.051186 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & NaN & 0.091308 & NaN & NaN \\ +57 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.021555 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.037729 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.147706 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.122944 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 0.057286 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & NaN & 0.028638 & NaN & 0.069249 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.107823 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 0.133335 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.066325 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.117873 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.101072 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.139714 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 0.064641 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 0.058638 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 0.059653 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 0.028163 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 0.071831 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 0.048923 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.044198 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.182053 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.244785 \\ +60 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +61 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & NaN & 0.041363 & NaN & 0.044202 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.121369 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.032571 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.157895 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.187682 \\ +8 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 0.144600 \\ +9 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.040442 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.136329 \\ +33 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.113953 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 0.069882 & NaN & 0.177974 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.005999 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 0.183931 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 0.183968 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 0.065543 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.067970 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 0.032300 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.296803 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.186469 & NaN & 0.142614 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.030016 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.040680 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.015455 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.013691 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.119193 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.032749 & NaN & 0.083220 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.048531 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 0.151368 & NaN & 0.236635 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 0.029337 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 0.107876 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.098947 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.003555 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.222729 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 0.070763 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.166276 & NaN & 0.103467 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.031176 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.181819 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.csv new file mode 100644 index 000000000..c4122afe3 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, +85,1833,13,0,20719,,0.16690214722421182,,0.28048565532640524 +86,1833,14,0,20719,,0.2270582480750605,, +58,1833,23,0,200619,,,, +127,1833,26,0,200619,,,,0.25638683217456304 +0,1833,30,0,260619,,,, +1,1833,31,0,260619,,,,0.24592398887078204 +2,1833,32,0,260619,,0.1784741003365049,,0.2369525932925356 +67,1833,35,0,260619,,0.21310151999118432,,0.22760345424351056 +124,1833,37,0,260619,,,, +10,1833,45,1,10719,,,, 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+71,1839,617,5,290519,,0.2468871096092897,, +97,1839,629,6,120619,,0.1840092544453551,,0.2483277867543876 +100,1839,645,6,200619,,0.19784550020574088,, +49,1839,655,7,60619,,0.2767282358518841,,0.34456663676234456 +99,1839,656,7,120619,,0.16947182924478274,, +111,1839,657,7,60619,,,, +26,1839,658,7,120619,,,, +123,1839,659,7,120619,,,,0.25751885832889343 +133,1839,660,7,120619,,,,0.2449929886584279 +37,1839,661,7,200619,,,, +29,1839,666,7,290519,,,, +30,1839,667,7,290519,,,, +72,1839,671,7,290519,,0.13856255334281542,, +69,1849,684,0,220319,,0.302171480521082,, +50,1849,715,1,110319,,0.22835871763642498,, +73,1849,724,1,280219,,0.2666629544000969,,0.2593849826726071 +139,1849,835,4,150319,,,,0.22053904120757292 +43,1849,851,5,60319,,,, +65,1849,932,7,280219,,,, +74,1849,937,7,280219,,0.2827521566213207,, +105,1849,939,7,280219,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.tex new file mode 100644 index 000000000..6e7fbacdb --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_half_width.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.166902 & NaN & 0.280486 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.227058 & NaN & NaN \\ +58 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.256387 \\ +0 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +1 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.245924 \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.178474 & NaN & 0.236953 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.213102 & NaN & 0.227603 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +10 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & NaN & 0.201031 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.139985 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.231004 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 58 & 1 & 20719 & NaN & 0.204319 & NaN & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.197896 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.218787 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.235740 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 0.223594 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.184634 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 0.290037 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.198847 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & NaN & 0.273547 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & NaN & 0.153367 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.251136 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.719812 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & NaN & 0.165716 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.232253 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.189628 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & NaN & 0.214986 & NaN & NaN \\ +57 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.182165 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.185306 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.275635 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.266352 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 0.190004 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & NaN & 0.145593 & NaN & 0.245015 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.231154 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 0.264462 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.209154 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.244157 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.253327 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.269311 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 0.206694 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 0.215111 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 0.220686 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 0.157380 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 0.240787 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 0.218894 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.163237 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.294815 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.313239 \\ +60 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +61 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & NaN & 0.220540 & NaN & 0.238522 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.243902 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.199630 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.269657 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.294635 \\ +8 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 0.271342 \\ +9 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.239460 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.271502 \\ +33 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.226282 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 0.196118 & NaN & 0.293246 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.222840 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 0.298501 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 0.266772 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 0.197853 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.233364 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 0.203004 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.342024 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.292004 & NaN & 0.314682 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.178176 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.179415 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.250234 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.149813 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.246887 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.184009 & NaN & 0.248328 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.197846 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 0.276728 & NaN & 0.344567 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 0.169472 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 0.257519 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.244993 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.138563 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.302171 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 0.228359 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.266663 & NaN & 0.259385 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.220539 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.282752 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.csv new file mode 100644 index 000000000..691008935 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, +85,1833,13,0,20719,,0.0991108393458148,,0.6900615620419768 +86,1833,14,0,20719,,0.5660470867775889,, +58,1833,23,0,200619,,,, +127,1833,26,0,200619,,,,0.33375132734747515 +0,1833,30,0,260619,,,, +1,1833,31,0,260619,,,,0.39256929928862383 +2,1833,32,0,260619,,0.4382002713247321,,0.09764725596261764 +67,1833,35,0,260619,,0.5394707560104837,,0.21547933839673966 +124,1833,37,0,260619,,,, +10,1833,45,1,10719,,,, +11,1833,46,1,10719,,,, +12,1833,47,1,10719,,0.3133414387421978,, +13,1833,49,1,10719,,,, +101,1833,53,1,10719,,0.060225580486658686,, +102,1833,55,1,10719,,0.3675228939618652,, +52,1833,56,1,20719,,,, +53,1833,57,1,20719,,,, +54,1833,58,1,20719,,0.4086924368113079,, +87,1833,59,1,20719,,0.2641081130090565,, +134,1833,61,1,20719,,,,0.2717309889095659 +135,1833,63,1,20719,,,,0.2926066301901501 +3,1833,78,1,260619,,,, +4,1833,79,1,260619,,0.6128637795143056,, 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+72,1839,671,7,290519,,0.028631752426480906,, +69,1849,684,0,220319,,0.7860332692506882,, +50,1849,715,1,110319,,0.5740121732388841,, +73,1849,724,1,280219,,0.6484605210239388,,0.4610138704296609 +139,1849,835,4,150319,,,,0.14697706533807786 +43,1849,851,5,60319,,,, +65,1849,932,7,280219,,,, +74,1849,937,7,280219,,0.6802507826301998,, +105,1849,939,7,280219,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.tex new file mode 100644 index 000000000..f9d1143d6 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_p_max.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.099111 & NaN & 0.690062 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.566047 & NaN & NaN \\ +58 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 0.333751 \\ +0 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +1 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.392569 \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 0.438200 & NaN & 0.097647 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.539471 & NaN & 0.215479 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +10 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & NaN & 0.313341 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.060226 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.367523 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 58 & 1 & 20719 & NaN & 0.408692 & NaN & NaN \\ +87 & 1833 & 59 & 1 & 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+55 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & NaN & 0.494638 & NaN & NaN \\ +57 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.174378 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.305425 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.721177 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 0.547597 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 0.464404 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & NaN & 0.230923 & NaN & 0.311741 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.579361 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 0.584078 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.537889 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.617466 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.441316 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.601924 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 0.524051 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 0.475652 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 0.483882 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 0.227613 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 0.332909 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 0.396564 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.356995 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.771734 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.809925 \\ +60 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +61 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & NaN & 0.335286 & NaN & 0.197872 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.643394 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.264288 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.682071 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.790838 \\ +8 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 0.630896 \\ +9 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.182591 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.600003 \\ +33 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.593075 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 0.566217 & NaN & 0.758726 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.028432 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 0.774769 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 0.714136 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 0.530796 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.317030 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 0.261550 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.912713 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.682753 & NaN & 0.488695 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.243096 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.328689 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.065504 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.110430 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.633487 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.265221 & NaN & 0.380420 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.393084 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 0.741021 & NaN & 0.763069 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 0.237303 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 0.478517 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.440311 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.028632 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.786033 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 0.574012 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.648461 & NaN & 0.461014 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.146977 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.680251 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.csv new file mode 100644 index 000000000..eb96d9abd --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, +85,1833,13,0,20719,,2.511387107680891,,12.630805305419685 +86,1833,14,0,20719,,25.419720710676877,, +58,1833,23,0,200619,,,, +127,1833,26,0,200619,,,,8.678038548432168 +0,1833,30,0,260619,,,, +1,1833,31,0,260619,,,,10.455914011923271 +2,1833,32,0,260619,,20.580107016168135,,7.191088017446918 +67,1833,35,0,260619,,8.378154424924112,,11.274513925789986 +124,1833,37,0,260619,,,, +10,1833,45,1,10719,,,, +11,1833,46,1,10719,,,, 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+64,1833,304,7,200619,,15.74440329056864,,36.69488125254325 +35,1833,317,7,290519,,,, +109,1833,322,7,290519,,,, +75,1834,329,0,10319,,0.7421051840705384,, +47,1834,332,0,60319,,,,21.429375140197543 +48,1834,338,0,60319,,,, +120,1834,356,2,120319,,,, +44,1834,357,2,220319,,15.041653217305122,, +45,1834,358,2,220319,,18.04979074439933,, +46,1834,359,2,220319,,,, +136,1834,360,2,220319,,,,18.00724552742939 +38,1834,361,3,10319,,11.53613364430991,, +39,1834,362,3,10319,,,, +76,1834,364,3,10319,,7.236998259358367,, +24,1834,379,3,150319,,,, +70,1834,381,3,150319,,5.170302737722262,,19.458259624635847 +66,1834,482,6,220319,,7.980407551724586,, +84,1834,518,7,110319,,1.4536715645530578,, +132,1839,577,1,120619,,,,1.6173951379928198 +25,1839,609,5,120619,,,, +96,1839,611,5,120619,,3.049305619918134,, +122,1839,612,5,120619,,,, +36,1839,613,5,200619,,,, +27,1839,615,5,290519,,,, +28,1839,616,5,290519,,,, +71,1839,617,5,290519,,8.014462037428753,, +97,1839,629,6,120619,,3.271565479964986,,15.629886963421438 +100,1839,645,6,200619,,8.79384992995705,, +49,1839,655,7,60619,,9.53237254520493,,17.158928125640745 +99,1839,656,7,120619,,8.847784999169662,, +111,1839,657,7,60619,,,, +26,1839,658,7,120619,,,, +123,1839,659,7,120619,,,,9.555673282448792 +133,1839,660,7,120619,,,,17.818515493020076 +37,1839,661,7,200619,,,, +29,1839,666,7,290519,,,, +30,1839,667,7,290519,,,, +72,1839,671,7,290519,,1.0284933425396738,, +69,1849,684,0,220319,,13.206363551585616,, +50,1849,715,1,110319,,19.54963004730251,, +73,1849,724,1,280219,,5.271157430670008,,10.2886584100988 +139,1849,835,4,150319,,,,0.21222531393548522 +43,1849,851,5,60319,,,, +65,1849,932,7,280219,,,, +74,1849,937,7,280219,,5.176063973616605,, +105,1849,939,7,280219,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.tex new file mode 100644 index 000000000..0de654700 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_strength.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & NaN & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 2.511387 & NaN & 12.630805 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 25.419721 & NaN & NaN \\ +58 & 1833 & 23 & 0 & 200619 & NaN & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & NaN & 8.678039 \\ +0 & 1833 & 30 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +1 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 10.455914 \\ +2 & 1833 & 32 & 0 & 260619 & NaN & 20.580107 & NaN & 7.191088 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 8.378154 & NaN & 11.274514 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +10 & 1833 & 45 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & NaN & 13.009816 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & NaN & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 1.473698 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 8.908555 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & NaN & NaN & NaN & NaN \\ +54 & 1833 & 58 & 1 & 20719 & NaN & 11.181074 & NaN & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 17.351060 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 8.521671 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 8.157731 \\ +3 & 1833 & 78 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & NaN & 5.504615 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.844801 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 8.799798 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 8.113344 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & NaN & 10.928153 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & NaN & 16.132502 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 2.802039 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.030304 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & NaN & 2.899018 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 10.666869 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 7.364827 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & NaN & 6.641221 & NaN & NaN \\ +57 & 1833 & 132 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 6.319757 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 5.116425 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & NaN & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 11.849759 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & NaN & 16.662113 \\ +5 & 1833 & 150 & 3 & 260619 & NaN & 8.877910 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & NaN & 11.144803 & NaN & 9.486149 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 13.130596 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & NaN & NaN \\ +31 & 1833 & 179 & 4 & 290519 & NaN & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & NaN & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & NaN & 26.626088 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 7.763299 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 7.211756 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 27.654868 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 4.572845 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 10.524990 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 23.345833 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 10.596812 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 7.726685 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 12.887882 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 9.820015 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 12.992649 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 11.718434 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 9.809087 \\ +60 & 1833 & 250 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +61 & 1833 & 251 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & NaN & 5.565965 & NaN & 5.927165 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 19.962701 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 6.819597 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 8.539432 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 16.556990 \\ +8 & 1833 & 263 & 6 & 260619 & NaN & NaN & NaN & 19.205048 \\ +9 & 1833 & 265 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & NaN & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 4.074432 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 21.128878 \\ +33 & 1833 & 278 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 18.420624 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 15.744403 & NaN & 36.694881 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.742105 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 21.429375 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 15.041653 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 18.049791 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 18.007246 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 11.536134 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 7.236998 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 5.170303 & NaN & 19.458260 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 7.980408 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 1.453672 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 1.617395 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 3.049306 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 8.014462 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 3.271565 & NaN & 15.629887 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 8.793850 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 9.532373 & NaN & 17.158928 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 8.847785 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 9.555673 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 17.818515 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 1.028493 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 13.206364 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 19.549630 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 5.271157 & NaN & 10.288658 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.212225 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 5.176064 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_vec_len.csv new file mode 100644 index 000000000..f8e94ae9c --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_stim_vec_len.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,,,, +85,1833,13,0,20719,,0.07208789695695192,,0.2294629324442268 +86,1833,14,0,20719,,0.17579253914274154,, +58,1833,23,0,200619,,,, +127,1833,26,0,200619,,,,0.12653037764948982 +0,1833,30,0,260619,,,, +1,1833,31,0,260619,,,,0.24167498352656555 +2,1833,32,0,260619,,0.32093739724862025,,0.092336079744738 +67,1833,35,0,260619,,0.18152044657999136,,0.12871281615753616 +124,1833,37,0,260619,,,, +10,1833,45,1,10719,,,, +11,1833,46,1,10719,,,, +12,1833,47,1,10719,,0.26165995596895325,, +13,1833,49,1,10719,,,, +101,1833,53,1,10719,,0.27287901364567024,, +102,1833,55,1,10719,,0.20443901214188065,, +52,1833,56,1,20719,,,, +53,1833,57,1,20719,,,, +54,1833,58,1,20719,,0.12433796662119505,, +87,1833,59,1,20719,,0.14556151705914824,, +134,1833,61,1,20719,,,,0.13725200290956738 +135,1833,63,1,20719,,,,0.20214475645382324 +3,1833,78,1,260619,,,, +4,1833,79,1,260619,,0.3579444594177724,, +125,1833,83,1,260619,,,, +140,1833,86,1,260619,,,,0.07082080182953446 +93,1833,89,1,290519,,0.2671443059070919,, +94,1833,91,1,290519,,0.27777094421996523,, +14,1833,96,2,10719,,0.25709818565578113,, +19,1833,106,2,50619,,0.2265144023166097,, +77,1833,108,2,50619,,0.2936785685449693,, +95,1833,117,2,290519,,0.33147511184425416,, +15,1833,118,3,10719,,,, +16,1833,121,3,10719,,0.1982902944200781,, +103,1833,124,3,10719,,0.10994218225533993,, +104,1833,128,3,10719,,0.241277454648768,, +55,1833,129,3,20719,,,, +56,1833,130,3,20719,,0.18397094102993114,, +57,1833,132,3,20719,,,, +88,1833,134,3,20719,,0.13150256752473838,, +89,1833,135,3,20719,,0.14817121233951686,, +118,1833,136,3,20719,,,, +79,1833,144,3,120619,,0.25629238772264684,, +128,1833,149,3,200619,,,,0.13341543460173638 +5,1833,150,3,260619,,0.19685840483265865,, +40,1833,168,4,120619,,0.2004942287354796,,0.22557856439303745 +80,1833,171,4,120619,,0.2383209377892037,, +59,1833,174,4,200619,,,, +129,1833,176,4,200619,,,, +31,1833,179,4,290519,,,, +17,1833,185,5,10719,,,, +18,1833,186,5,10719,,,, 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120619 & NaN & 0.408777 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 205 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.409795 & NaN & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.289595 \\ +32 & 1833 & 214 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.487242 \\ +21 & 1833 & 231 & 6 & 50619 & NaN & 0.286215 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & NaN & 0.196859 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & NaN & 0.290862 & NaN & NaN \\ +78 & 1833 & 234 & 6 & 50619 & NaN & 0.255857 & NaN & NaN \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & NaN & 0.264489 \\ +7 & 1833 & 243 & 6 & 260619 & NaN & 0.244947 & NaN & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.242763 & NaN & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 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& 290519 & NaN & NaN & NaN & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & NaN & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.229860 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +64 & 1833 & 304 & 7 & 200619 & NaN & 0.201147 & NaN & 0.274052 \\ +35 & 1833 & 317 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.026535 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & NaN & NaN & NaN & 0.333366 \\ +48 & 1834 & 338 & 0 & 60319 & NaN & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & NaN & NaN \\ +44 & 1834 & 357 & 2 & 220319 & NaN & 0.217098 & NaN & NaN \\ +45 & 1834 & 358 & 2 & 220319 & NaN & 0.300383 & NaN & NaN \\ +46 & 1834 & 359 & 2 & 220319 & NaN & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.277014 \\ +38 & 1834 & 361 & 3 & 10319 & NaN & 0.533935 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & NaN & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.518984 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & NaN & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.301175 & NaN & 0.198371 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.132648 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.100008 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.234939 \\ +25 & 1839 & 609 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.027608 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +36 & 1839 & 613 & 5 & 200619 & NaN & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.186594 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.223746 & NaN & 0.442396 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.163791 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & NaN & 0.269969 & NaN & 0.331810 \\ +99 & 1839 & 656 & 7 & 120619 & NaN & 0.164595 & NaN & NaN \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & NaN & NaN \\ +26 & 1839 & 658 & 7 & 120619 & NaN & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & NaN & 0.339708 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.384920 \\ +37 & 1839 & 661 & 7 & 200619 & NaN & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & NaN & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.107301 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.359183 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & NaN & 0.423118 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.196835 & NaN & 0.253210 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.108998 \\ +43 & 1849 & 851 & 5 & 60319 & NaN & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.303550 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_ang.csv new file mode 100644 index 000000000..50c51c42e --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_ang.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,6.10684454068049,,, +85,1833,13,0,20719,,5.58163982248445,6.244293075156853,6.070208287815786 +86,1833,14,0,20719,,5.077084289788762,3.429184027801404, +58,1833,23,0,200619,3.9718732769884815,,, +127,1833,26,0,200619,,,0.11061280448651302,4.911899132437275 +0,1833,30,0,260619,3.5401211208931156,,3.4079384284525736, +1,1833,31,0,260619,3.814772336708868,,3.7710026515655084,4.362881797699846 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b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_ang.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & 6.106845 & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 5.581640 & 6.244293 & 6.070208 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 5.077084 & 3.429184 & NaN \\ +58 & 1833 & 23 & 0 & 200619 & 3.971873 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.110613 & 4.911899 \\ +0 & 1833 & 30 & 0 & 260619 & 3.540121 & NaN & 3.407938 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 3.814772 & NaN & 3.771003 & 4.362882 \\ +2 & 1833 & 32 & 0 & 260619 & 3.253081 & 5.772882 & 3.191072 & 2.177327 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 5.478447 & 3.891785 & 1.476340 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 3.345624 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 3.882869 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 3.839627 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 3.741151 & 4.201548 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 3.862949 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.917019 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 4.602916 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 3.777769 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 3.944093 & NaN & 3.819192 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 4.068655 & 5.678025 & 4.175024 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 4.622336 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 4.561696 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.843943 \\ +3 & 1833 & 78 & 1 & 260619 & 3.836710 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 4.030610 & 5.447964 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 4.071854 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.505622 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 6.043361 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 5.947512 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 3.890530 & 4.151718 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 3.631614 & 0.072850 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 1.266286 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 3.837323 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 3.693704 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 3.351334 & 4.119117 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 4.667381 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 2.425151 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 3.826401 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 3.893364 & 3.940694 & 3.752009 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 4.515217 & NaN & 4.210399 & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.091068 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 4.833473 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & 3.658144 & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 1.494504 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & 4.110902 & 3.811701 \\ +5 & 1833 & 150 & 3 & 260619 & 3.998626 & 4.615532 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & 0.342157 & 0.592947 & 0.183066 & 1.378103 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.336702 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & 0.810726 & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & 3.853671 & NaN \\ +31 & 1833 & 179 & 4 & 290519 & 3.636374 & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & 3.920001 & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & 4.378967 & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & 4.359324 & 6.092342 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 2.121799 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & 3.573190 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 3.963393 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 5.720675 & 4.198502 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 2.424985 \\ +32 & 1833 & 214 & 5 & 290519 & 3.567508 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 4.609234 \\ +21 & 1833 & 231 & 6 & 50619 & 3.773857 & 6.057066 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 3.690526 & 1.236331 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 4.125700 & 1.812877 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 4.405574 & 2.167314 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 3.260569 & 0.290942 \\ +7 & 1833 & 243 & 6 & 260619 & 4.168856 & 5.376960 & 4.336405 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 1.692451 & 3.866978 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 3.881350 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 3.308980 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 1.975350 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 2.927804 \\ +60 & 1833 & 250 & 6 & 200619 & 3.574307 & NaN & 3.479673 & NaN \\ +61 & 1833 & 251 & 6 & 200619 & 3.475153 & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & 4.200773 & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & 4.801042 & 0.798879 & 5.140889 & 3.918659 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.033217 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.533803 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.417570 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 1.570065 \\ +8 & 1833 & 263 & 6 & 260619 & 3.998667 & NaN & NaN & 6.259379 \\ +9 & 1833 & 265 & 6 & 260619 & 3.833954 & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & 3.719043 & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.592317 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 3.988140 \\ +33 & 1833 & 278 & 6 & 290519 & 3.717936 & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & 3.832781 & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & 3.418419 & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & 3.494895 & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & 3.721620 & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 1.571792 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & 2.975135 & NaN \\ +64 & 1833 & 304 & 7 & 200619 & 0.292307 & 4.245765 & 0.638980 & 3.195617 \\ +35 & 1833 & 317 & 7 & 290519 & 0.370483 & NaN & 3.781649 & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & 1.831857 & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 4.840188 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & 4.275036 & NaN & NaN & 0.814017 \\ +48 & 1834 & 338 & 0 & 60319 & 3.974648 & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & 4.314352 & NaN \\ +44 & 1834 & 357 & 2 & 220319 & 4.407617 & 1.941977 & 4.348501 & NaN \\ +45 & 1834 & 358 & 2 & 220319 & 4.289290 & 2.072099 & 4.210503 & NaN \\ +46 & 1834 & 359 & 2 & 220319 & 4.461622 & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 1.812910 \\ +38 & 1834 & 361 & 3 & 10319 & 3.603171 & 3.386956 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 3.911962 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 2.694145 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 4.038389 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 4.309091 & 3.868918 & 5.545922 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 4.772719 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.522429 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 3.386587 \\ +25 & 1839 & 609 & 5 & 120619 & 3.805056 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 4.840489 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 3.581888 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 3.851632 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 3.323273 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 3.203659 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 5.463348 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 4.704786 & 4.176967 & 4.929269 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 4.888560 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & 3.867296 & 5.046994 & NaN & 2.085040 \\ +110 & 1839 & 656 & 7 & 60619 & NaN & NaN & 4.448620 & 1.511077 \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & 3.616323 & NaN \\ +26 & 1839 & 658 & 7 & 120619 & 3.802927 & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & 3.778122 & 5.089513 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 5.662760 \\ +37 & 1839 & 661 & 7 & 200619 & 3.939602 & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & 3.772313 & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & 5.535230 & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 3.038910 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 5.494836 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & 1.283094 & 4.726992 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 1.482273 & NaN & 1.418198 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.361635 \\ +43 & 1849 & 851 & 5 & 60319 & 4.277530 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 2.376502 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 1.609634 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 3.337634 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.csv new file mode 100644 index 000000000..273cf62cf --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,0.2472080540363293,,, +85,1833,13,0,20719,,0.036568830672364994,0.33876823707036297,0.038830828130298235 +86,1833,14,0,20719,,0.026233197553693854,0.4802328314200003, +58,1833,23,0,200619,0.23836584189457766,,, +127,1833,26,0,200619,,,0.15448363558042796,0.0478845972637071 +0,1833,30,0,260619,0.4107904968902967,,0.3719006225385105, +1,1833,31,0,260619,0.15146306956258745,,0.1735681372025262,0.04040007286759605 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+74,1849,937,7,280219,,0.12654328680568094,, +105,1849,939,7,280219,,,0.4878351330292862, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.tex new file mode 100644 index 000000000..4219a60cc --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_energy.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & 0.247208 & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.036569 & 0.338768 & 0.038831 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.026233 & 0.480233 & NaN \\ +58 & 1833 & 23 & 0 & 200619 & 0.238366 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.154484 & 0.047885 \\ +0 & 1833 & 30 & 0 & 260619 & 0.410790 & NaN & 0.371901 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 0.151463 & NaN & 0.173568 & 0.040400 \\ +2 & 1833 & 32 & 0 & 260619 & 0.099333 & 0.029688 & 0.079638 & 0.020796 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.093046 & 0.107426 & 0.020525 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.036878 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 0.166058 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 0.228797 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 0.047974 & 0.030171 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 0.504546 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.041779 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.026987 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 0.574680 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 0.172849 & NaN & 0.096726 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 0.069115 & 0.023650 & 0.025224 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.025001 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.053894 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.026784 \\ +3 & 1833 & 78 & 1 & 260619 & 0.426200 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.288600 & 0.113195 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 0.062576 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.035405 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 0.173160 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.078972 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 0.609700 & 0.063582 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 0.116904 & 0.019975 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.043098 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.169699 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 0.360683 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 0.029989 & 0.067574 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.035882 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.082620 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 0.069722 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 0.427129 & 0.063760 & 0.361620 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 0.132687 & NaN & 0.058776 & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.030893 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.066549 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.084623 & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.116524 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.150880 & 0.026988 \\ +5 & 1833 & 150 & 3 & 260619 & 0.283741 & 0.090355 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & 0.032563 & 0.017372 & 0.039178 & 0.036138 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.043369 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & 0.028140 & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.105817 & NaN \\ +31 & 1833 & 179 & 4 & 290519 & 0.332223 & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & 0.439541 & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & 0.112281 & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & 0.121540 & 0.022739 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.106074 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & 0.462147 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 0.858858 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.069156 & 0.450625 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.015010 \\ +32 & 1833 & 214 & 5 & 290519 & 0.374544 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.134076 \\ +21 & 1833 & 231 & 6 & 50619 & 0.249618 & 0.035682 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 0.317334 & 0.030160 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 0.197340 & 0.046558 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.050714 & 0.037699 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.076291 & 0.031503 \\ +7 & 1833 & 243 & 6 & 260619 & 0.074772 & 0.029748 & 0.057019 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.033472 & 0.180702 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.066687 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.149489 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.082548 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.071855 \\ +60 & 1833 & 250 & 6 & 200619 & 0.350220 & NaN & 0.427804 & NaN \\ +61 & 1833 & 251 & 6 & 200619 & 0.059858 & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & 0.057342 & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & 0.039755 & 0.037789 & 0.057220 & 0.029017 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.027929 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.024755 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.052304 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.042898 \\ +8 & 1833 & 263 & 6 & 260619 & 0.362479 & NaN & NaN & 0.036332 \\ +9 & 1833 & 265 & 6 & 260619 & 0.289545 & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & 0.482858 & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.025699 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.031691 \\ +33 & 1833 & 278 & 6 & 290519 & 0.106924 & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & 0.090350 & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & 0.088092 & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & 1.125331 & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & 0.073129 & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.031186 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & 0.020844 & NaN \\ +64 & 1833 & 304 & 7 & 200619 & 0.054198 & 0.033684 & 0.048346 & 0.027738 \\ +35 & 1833 & 317 & 7 & 290519 & 0.104999 & NaN & 0.047670 & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & 0.029471 & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.047633 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & 0.713493 & NaN & NaN & 0.045832 \\ +48 & 1834 & 338 & 0 & 60319 & 0.179396 & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & 0.729381 & NaN \\ +44 & 1834 & 357 & 2 & 220319 & 0.783188 & 0.061061 & 0.407857 & NaN \\ +45 & 1834 & 358 & 2 & 220319 & 0.099413 & 0.032737 & 0.085776 & NaN \\ +46 & 1834 & 359 & 2 & 220319 & 0.347451 & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.027302 \\ +38 & 1834 & 361 & 3 & 10319 & 0.068034 & 0.025647 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 0.418386 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.235018 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 0.786724 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.126610 & 0.833168 & 0.036316 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.039662 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.462396 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.045546 \\ +25 & 1839 & 609 & 5 & 120619 & 0.223116 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.049955 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.279100 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 0.280086 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 0.048432 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 0.026434 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.127380 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.031933 & 0.042967 & 0.032832 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.049899 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & 0.346586 & 0.070023 & NaN & 0.036801 \\ +110 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.049373 & 0.035395 \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & 0.187511 & NaN \\ +26 & 1839 & 658 & 7 & 120619 & 0.154437 & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.153844 & 0.035324 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.033364 \\ +37 & 1839 & 661 & 7 & 200619 & 0.152827 & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & 0.293580 & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & 0.022304 & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.028995 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.062612 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & 0.054875 & 0.033265 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.194178 & NaN & 0.056195 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 1.007145 \\ +43 & 1849 & 851 & 5 & 60319 & 0.839268 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 0.026062 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.126543 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 0.487835 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.csv new file mode 100644 index 000000000..a88c9529b --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,7.9345703125,,, +85,1833,13,0,20719,,8.9111328125,7.8125,8.4228515625 +86,1833,14,0,20719,,9.3994140625,7.8125, +58,1833,23,0,200619,7.6904296875,,, +127,1833,26,0,200619,,,7.6904296875,7.32421875 +0,1833,30,0,260619,7.4462890625,,7.8125, +1,1833,31,0,260619,7.32421875,,7.8125,9.27734375 +2,1833,32,0,260619,7.4462890625,7.080078125,7.8125,8.4228515625 +67,1833,35,0,260619,,8.4228515625,7.9345703125,7.8125 +124,1833,37,0,260619,,,7.8125, +10,1833,45,1,10719,7.4462890625,,, +11,1833,46,1,10719,7.4462890625,,, +12,1833,47,1,10719,7.2021484375,9.6435546875,, +13,1833,49,1,10719,7.2021484375,,, +101,1833,53,1,10719,,7.9345703125,, +102,1833,55,1,10719,,7.32421875,, +52,1833,56,1,20719,7.6904296875,,, +53,1833,57,1,20719,7.9345703125,,7.8125, +54,1833,58,1,20719,7.8125,8.7890625,6.34765625, +87,1833,59,1,20719,,7.8125,, +134,1833,61,1,20719,,,,9.27734375 +135,1833,63,1,20719,,,,7.2021484375 +3,1833,78,1,260619,7.4462890625,,, +4,1833,79,1,260619,7.2021484375,7.32421875,, +125,1833,83,1,260619,,,7.32421875, +140,1833,86,1,260619,,,,6.591796875 +93,1833,89,1,290519,,7.9345703125,, +94,1833,91,1,290519,,7.9345703125,, 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+123,1839,659,7,120619,,,8.544921875,9.6435546875 +133,1839,660,7,120619,,,,9.27734375 +37,1839,661,7,200619,8.1787109375,,, +29,1839,666,7,290519,7.9345703125,,, +30,1839,667,7,290519,8.1787109375,,, +72,1839,671,7,290519,,7.4462890625,, +69,1849,684,0,220319,,6.7138671875,, +50,1849,715,1,110319,8.056640625,9.033203125,, +73,1849,724,1,280219,,6.9580078125,,9.521484375 +139,1849,835,4,150319,,,,8.4228515625 +43,1849,851,5,60319,7.568359375,,, +65,1849,932,7,280219,6.4697265625,,, +74,1849,937,7,280219,,7.6904296875,, +105,1849,939,7,280219,,,8.056640625, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.tex new file mode 100644 index 000000000..9df8b323d --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_freq.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & 7.934570 & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 8.911133 & 7.812500 & 8.422852 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 9.399414 & 7.812500 & NaN \\ +58 & 1833 & 23 & 0 & 200619 & 7.690430 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 7.690430 & 7.324219 \\ +0 & 1833 & 30 & 0 & 260619 & 7.446289 & NaN & 7.812500 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 7.324219 & NaN & 7.812500 & 9.277344 \\ +2 & 1833 & 32 & 0 & 260619 & 7.446289 & 7.080078 & 7.812500 & 8.422852 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 8.422852 & 7.934570 & 7.812500 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 7.812500 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 7.446289 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 7.446289 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 7.202148 & 9.643555 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 7.202148 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 7.934570 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 7.324219 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 7.690430 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 7.934570 & NaN & 7.812500 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 7.812500 & 8.789062 & 6.347656 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 7.812500 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 9.277344 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 7.202148 \\ +3 & 1833 & 78 & 1 & 260619 & 7.446289 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 7.202148 & 7.324219 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 7.324219 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 6.591797 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 7.934570 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 7.934570 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 7.324219 & 9.033203 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 7.446289 & 7.690430 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 8.178711 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 9.277344 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 7.446289 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 9.277344 & 6.225586 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 7.934570 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 8.911133 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 8.056641 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 7.690430 & 9.155273 & 7.812500 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 7.690430 & NaN & 7.690430 & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 6.713867 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 8.789062 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & 7.812500 & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 7.934570 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & 7.690430 & 6.347656 \\ +5 & 1833 & 150 & 3 & 260619 & 7.446289 & 6.591797 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & 7.934570 & 8.178711 & 7.934570 & 9.643555 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 7.812500 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & 9.765625 & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & 7.690430 & NaN \\ +31 & 1833 & 179 & 4 & 290519 & 7.568359 & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & 7.446289 & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & 7.446289 & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & 7.812500 & 8.911133 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 7.568359 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & 7.812500 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 7.324219 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 7.690430 & 7.812500 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 7.690430 \\ +32 & 1833 & 214 & 5 & 290519 & 7.568359 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 7.934570 \\ +21 & 1833 & 231 & 6 & 50619 & 7.446289 & 7.934570 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 7.446289 & 9.155273 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 7.446289 & 6.835938 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 8.056641 & 9.521484 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 7.812500 & 8.789062 \\ +7 & 1833 & 243 & 6 & 260619 & 7.446289 & 8.422852 & 7.934570 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 6.225586 & 7.812500 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 7.812500 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 8.056641 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 8.056641 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 8.789062 \\ +60 & 1833 & 250 & 6 & 200619 & 7.446289 & NaN & 7.690430 & NaN \\ +61 & 1833 & 251 & 6 & 200619 & 7.934570 & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & 7.812500 & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & 7.446289 & 7.934570 & 8.056641 & 8.789062 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 7.446289 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 6.347656 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 8.422852 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 7.812500 \\ +8 & 1833 & 263 & 6 & 260619 & 7.568359 & NaN & NaN & 8.056641 \\ +9 & 1833 & 265 & 6 & 260619 & 7.568359 & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & 7.812500 & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 6.835938 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 9.765625 \\ +33 & 1833 & 278 & 6 & 290519 & 7.324219 & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & 7.690430 & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & 7.568359 & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & 7.568359 & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & 7.324219 & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 9.643555 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & 9.033203 & NaN \\ +64 & 1833 & 304 & 7 & 200619 & 7.568359 & 9.765625 & 7.934570 & 7.934570 \\ +35 & 1833 & 317 & 7 & 290519 & 7.446289 & NaN & 9.399414 & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & 7.202148 & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 8.666992 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & 7.934570 & NaN & NaN & 7.934570 \\ +48 & 1834 & 338 & 0 & 60319 & 7.934570 & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & 8.422852 & NaN \\ +44 & 1834 & 357 & 2 & 220319 & 8.178711 & 6.591797 & 8.300781 & NaN \\ +45 & 1834 & 358 & 2 & 220319 & 8.178711 & 7.202148 & 7.934570 & NaN \\ +46 & 1834 & 359 & 2 & 220319 & 8.178711 & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 6.591797 \\ +38 & 1834 & 361 & 3 & 10319 & 6.958008 & 6.958008 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 8.178711 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 7.568359 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 8.056641 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 7.812500 & 8.178711 & 7.812500 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 9.155273 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 8.422852 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 7.934570 \\ +25 & 1839 & 609 & 5 & 120619 & 8.544922 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 6.469727 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 8.544922 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 8.178711 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 7.812500 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 7.812500 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 7.446289 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 6.469727 & 8.422852 & 7.690430 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 9.277344 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & 8.056641 & 8.911133 & NaN & 9.033203 \\ +110 & 1839 & 656 & 7 & 60619 & NaN & NaN & 8.422852 & 8.789062 \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & 8.178711 & NaN \\ +26 & 1839 & 658 & 7 & 120619 & 8.544922 & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & 8.544922 & 9.643555 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 9.277344 \\ +37 & 1839 & 661 & 7 & 200619 & 8.178711 & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & 7.934570 & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & 8.178711 & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 7.446289 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 6.713867 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & 8.056641 & 9.033203 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 6.958008 & NaN & 9.521484 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 8.422852 \\ +43 & 1849 & 851 & 5 & 60319 & 7.568359 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 6.469727 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 7.690430 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 8.056641 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.csv new file mode 100644 index 000000000..ad6bcb1db --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,0.6432514823831585,,, +85,1833,13,0,20719,,0.14477654353679448,1.092502389523518,0.2007517513963588 +86,1833,14,0,20719,,0.2635032219152844,0.8829190237328648, +58,1833,23,0,200619,0.7123750356598135,,, +127,1833,26,0,200619,,,0.4822592128664702,0.1823544325234652 +0,1833,30,0,260619,0.8493393976966406,,0.7352344173060175, +1,1833,31,0,260619,0.7152410822694355,,0.7855785817968286,0.21375460614387976 +2,1833,32,0,260619,0.5288653302317963,0.5122726433235485,0.4136248483934581,0.4589244516044087 +67,1833,35,0,260619,,0.27455973583996496,0.8275732802205742,0.24599598345716345 +124,1833,37,0,260619,,,0.21529915558644586, +10,1833,45,1,10719,0.558355139266169,,, +11,1833,46,1,10719,0.8946687101423622,,, +12,1833,47,1,10719,0.6166680507976219,0.7256941398609484,, +13,1833,49,1,10719,0.8335398927170719,,, +101,1833,53,1,10719,,0.3750149725673291,, +102,1833,55,1,10719,,0.15303118794288295,, +52,1833,56,1,20719,0.8169006885600858,,, +53,1833,57,1,20719,0.6443951927779379,,0.3864006626952907, +54,1833,58,1,20719,0.40106356707325297,0.1994006911953079,0.20544031851059508, +87,1833,59,1,20719,,0.14957379842384633,, +134,1833,61,1,20719,,,,0.1589054224923565 +135,1833,63,1,20719,,,,0.2129407796172842 +3,1833,78,1,260619,0.9408237926851788,,, +4,1833,79,1,260619,0.8727960543330777,0.5027812331698023,, +125,1833,83,1,260619,,,1.0002935489227838, +140,1833,86,1,260619,,,,0.20101629431012924 +93,1833,89,1,290519,,1.1461425390892712,, +94,1833,91,1,290519,,0.5562477118734206,, +14,1833,96,2,10719,0.9017806223837956,0.14033942469577454,, +19,1833,106,2,50619,0.879278471251836,0.16071201101231392,, +77,1833,108,2,50619,,0.3207979084248596,, +95,1833,117,2,290519,,0.347296163060129,, +15,1833,118,3,10719,1.0117971094627392,,, +16,1833,121,3,10719,0.24955470582353456,0.2307483456530868,, +103,1833,124,3,10719,,0.17393481082808293,, +104,1833,128,3,10719,,0.16632191582249156,, +55,1833,129,3,20719,0.4706679698632321,,, +56,1833,130,3,20719,0.6672042636967914,0.2143269659385023,0.9241983543729121, +57,1833,132,3,20719,0.5503395604803893,,0.5713943572447215, +88,1833,134,3,20719,,0.25752513256369625,, +89,1833,135,3,20719,,0.3652157663994711,, +118,1833,136,3,20719,,,0.4933859551080016, +79,1833,144,3,120619,,0.8621640398635,, +128,1833,149,3,200619,,,0.5411382784249685,0.15541293394612854 +5,1833,150,3,260619,0.7324229181146924,0.17832703762841273,, +40,1833,168,4,120619,0.22200572880152247,0.2454837087040911,0.3739980111309436,0.2652847680585264 +80,1833,171,4,120619,,0.4891901726920187,, +59,1833,174,4,200619,0.25418284537700764,,, +129,1833,176,4,200619,,,0.7303724352904561, +31,1833,179,4,290519,0.8371813144304072,,, +17,1833,185,5,10719,1.001398972182158,,, +18,1833,186,5,10719,0.5506068936946988,,, +119,1833,195,5,20719,,,0.5866462041560325,0.17853492369191315 +81,1833,202,5,120619,,0.7938887558850709,, +130,1833,204,5,200619,,,0.9877979222847132, +6,1833,205,5,260619,1.079994050399744,,, +68,1833,206,5,260619,,0.1827932458121122,1.1258882928383285, +141,1833,210,5,260619,,,,0.22179718185212935 +32,1833,214,5,290519,0.9102680850775728,,, +146,1833,218,5,290519,,,,0.2993079541374621 +21,1833,231,6,50619,0.8419466641566133,0.4442804878340372,, +22,1833,232,6,50619,0.9320895685897924,0.1557753832919584,, +41,1833,233,6,120619,0.6948078200837546,0.17713954017054867,, +113,1833,234,6,120619,,,0.2969057995264599,0.1952437566887557 +114,1833,240,6,120619,,,0.6010799521865504,0.2432643690760372 +7,1833,243,6,260619,0.4362891755316767,0.2565093580492732,0.2585028148386552, +82,1833,244,6,120619,,0.3251975850514333,0.6849027122934829, +115,1833,245,6,120619,,,0.4470448605175577, +116,1833,246,6,120619,,,0.8814862779625008, +144,1833,248,6,120619,,,,0.5639931841394787 +145,1833,249,6,120619,,,,0.264710093650109 +60,1833,250,6,200619,0.8581620739853255,,0.8738965772792504, +61,1833,251,6,200619,0.4932741384767043,,, +62,1833,252,6,200619,0.635651172310947,,, +63,1833,253,6,200619,0.46967002957572296,0.28424815504222245,0.6672870388368111,0.16195009056976062 +91,1833,254,6,200619,,0.2422288566214519,, +92,1833,257,6,200619,,0.22320845736833214,, +137,1833,260,6,200619,,,,0.16805577410615058 +138,1833,261,6,200619,,,,0.12489369084600188 +8,1833,263,6,260619,0.7862804066118665,,,0.2736707283405844 +9,1833,265,6,260619,0.8796657938891936,,, +126,1833,270,6,260619,,,1.0599198276781818, +142,1833,274,6,260619,,,,0.18452890221105103 +143,1833,275,6,260619,,,,0.4577634195921672 +33,1833,278,6,290519,0.8141843774328539,,, +34,1833,279,6,290519,0.8743152966585805,,, +106,1833,284,6,290519,,,1.0586330334152514, +107,1833,285,6,290519,,,1.5330627923314897, +108,1833,286,6,290519,,,0.4804530655935802, +83,1833,301,7,120619,,0.2328116028404921,, +117,1833,302,7,120619,,,0.14663452296443147, +64,1833,304,7,200619,0.444827630458664,0.1436061776494295,0.3098596272686951,0.30105075662822944 +35,1833,317,7,290519,0.7716778761906582,,0.6300087467863841, +109,1833,322,7,290519,,,0.3251280200876785, +75,1834,329,0,10319,,0.40134032783898377,, +47,1834,332,0,60319,1.1541603497606232,,,0.6705411309849998 +48,1834,338,0,60319,0.7235735866311641,,, +120,1834,356,2,120319,,,1.4939319684445291, +44,1834,357,2,220319,1.2196990600124789,0.2923407673297094,0.8543087137895053, +45,1834,358,2,220319,0.5307011883750699,0.3347420486172261,0.6201175643689334, +46,1834,359,2,220319,0.7871265025547727,,, +136,1834,360,2,220319,,,,0.1868199308568528 +38,1834,361,3,10319,0.558732208128573,0.1322242701700107,, +39,1834,362,3,10319,0.9544550689217032,,, +76,1834,364,3,10319,,0.8585274869412594,, +24,1834,379,3,150319,0.9835831285002749,,, +70,1834,381,3,150319,,0.4593590819901658,1.23946589690782,0.5353143378222072 +66,1834,482,6,220319,,0.2349912734481876,, +84,1834,518,7,110319,,0.7618814563186724,, +132,1839,577,1,120619,,,,0.2476807011780737 +25,1839,609,5,120619,1.168024439438729,,, +96,1839,611,5,120619,,0.2790057840516411,, +122,1839,612,5,120619,,,0.4261849658372778, +36,1839,613,5,200619,0.9046140151525526,,, +27,1839,615,5,290519,0.3311336731915082,,, +28,1839,616,5,290519,0.28700293198679194,,, +71,1839,617,5,290519,,0.800900782198485,, +97,1839,629,6,120619,,0.1863010510304832,0.5831848282554368,0.14230897073554696 +100,1839,645,6,200619,,0.1833992331774592,, +49,1839,655,7,60619,0.8482866919975747,0.19696077874585072,,0.20000435926217894 +110,1839,656,7,60619,,,0.28336864914995097,0.19257083944348172 +111,1839,657,7,60619,,,0.6665877397365323, +26,1839,658,7,120619,1.0465634465807128,,, +123,1839,659,7,120619,,,0.5226302843041939,0.15798292328732622 +133,1839,660,7,120619,,,,0.2779872541331194 +37,1839,661,7,200619,0.628415721337082,,, +29,1839,666,7,290519,0.9305600123793224,,, +30,1839,667,7,290519,0.2798476224102764,,, +72,1839,671,7,290519,,0.20765292360492715,, +69,1849,684,0,220319,,0.2328736759044565,, +50,1849,715,1,110319,0.32625489651682305,0.18092805697208547,, +73,1849,724,1,280219,,0.6379679268251053,,0.21773464929755093 +139,1849,835,4,150319,,,,1.3150410882809478 +43,1849,851,5,60319,0.9853533224579438,,, +65,1849,932,7,280219,0.2465663176544908,,, +74,1849,937,7,280219,,0.2885291971868318,, +105,1849,939,7,280219,,,0.4295046854781415, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.tex new file mode 100644 index 000000000..a81a3f6cf --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_half_width.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & 0.643251 & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.144777 & 1.092502 & 0.200752 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.263503 & 0.882919 & NaN \\ +58 & 1833 & 23 & 0 & 200619 & 0.712375 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.482259 & 0.182354 \\ +0 & 1833 & 30 & 0 & 260619 & 0.849339 & NaN & 0.735234 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 0.715241 & NaN & 0.785579 & 0.213755 \\ +2 & 1833 & 32 & 0 & 260619 & 0.528865 & 0.512273 & 0.413625 & 0.458924 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.274560 & 0.827573 & 0.245996 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.215299 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 0.558355 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 0.894669 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 0.616668 & 0.725694 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 0.833540 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.375015 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.153031 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 0.816901 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 0.644395 & NaN & 0.386401 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 0.401064 & 0.199401 & 0.205440 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.149574 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.158905 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.212941 \\ +3 & 1833 & 78 & 1 & 260619 & 0.940824 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.872796 & 0.502781 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 1.000294 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.201016 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 1.146143 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.556248 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 0.901781 & 0.140339 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 0.879278 & 0.160712 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.320798 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.347296 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 1.011797 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 0.249555 & 0.230748 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.173935 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.166322 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 0.470668 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 0.667204 & 0.214327 & 0.924198 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 0.550340 & NaN & 0.571394 & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.257525 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.365216 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.493386 & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.862164 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.541138 & 0.155413 \\ +5 & 1833 & 150 & 3 & 260619 & 0.732423 & 0.178327 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & 0.222006 & 0.245484 & 0.373998 & 0.265285 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.489190 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & 0.254183 & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.730372 & NaN \\ +31 & 1833 & 179 & 4 & 290519 & 0.837181 & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & 1.001399 & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & 0.550607 & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & 0.586646 & 0.178535 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.793889 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & 0.987798 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 1.079994 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.182793 & 1.125888 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.221797 \\ +32 & 1833 & 214 & 5 & 290519 & 0.910268 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.299308 \\ +21 & 1833 & 231 & 6 & 50619 & 0.841947 & 0.444280 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 0.932090 & 0.155775 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 0.694808 & 0.177140 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.296906 & 0.195244 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.601080 & 0.243264 \\ +7 & 1833 & 243 & 6 & 260619 & 0.436289 & 0.256509 & 0.258503 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.325198 & 0.684903 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.447045 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.881486 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.563993 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.264710 \\ +60 & 1833 & 250 & 6 & 200619 & 0.858162 & NaN & 0.873897 & NaN \\ +61 & 1833 & 251 & 6 & 200619 & 0.493274 & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & 0.635651 & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & 0.469670 & 0.284248 & 0.667287 & 0.161950 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.242229 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.223208 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.168056 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.124894 \\ +8 & 1833 & 263 & 6 & 260619 & 0.786280 & NaN & NaN & 0.273671 \\ +9 & 1833 & 265 & 6 & 260619 & 0.879666 & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & 1.059920 & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.184529 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.457763 \\ +33 & 1833 & 278 & 6 & 290519 & 0.814184 & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & 0.874315 & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & 1.058633 & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & 1.533063 & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & 0.480453 & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.232812 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & 0.146635 & NaN \\ +64 & 1833 & 304 & 7 & 200619 & 0.444828 & 0.143606 & 0.309860 & 0.301051 \\ +35 & 1833 & 317 & 7 & 290519 & 0.771678 & NaN & 0.630009 & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & 0.325128 & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.401340 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & 1.154160 & NaN & NaN & 0.670541 \\ +48 & 1834 & 338 & 0 & 60319 & 0.723574 & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & 1.493932 & NaN \\ +44 & 1834 & 357 & 2 & 220319 & 1.219699 & 0.292341 & 0.854309 & NaN \\ +45 & 1834 & 358 & 2 & 220319 & 0.530701 & 0.334742 & 0.620118 & NaN \\ +46 & 1834 & 359 & 2 & 220319 & 0.787127 & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.186820 \\ +38 & 1834 & 361 & 3 & 10319 & 0.558732 & 0.132224 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 0.954455 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.858527 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 0.983583 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.459359 & 1.239466 & 0.535314 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.234991 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.761881 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.247681 \\ +25 & 1839 & 609 & 5 & 120619 & 1.168024 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.279006 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.426185 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 0.904614 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 0.331134 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 0.287003 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.800901 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.186301 & 0.583185 & 0.142309 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.183399 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & 0.848287 & 0.196961 & NaN & 0.200004 \\ +110 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.283369 & 0.192571 \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & 0.666588 & NaN \\ +26 & 1839 & 658 & 7 & 120619 & 1.046563 & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.522630 & 0.157983 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.277987 \\ +37 & 1839 & 661 & 7 & 200619 & 0.628416 & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & 0.930560 & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & 0.279848 & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.207653 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.232874 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & 0.326255 & 0.180928 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.637968 & NaN & 0.217735 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 1.315041 \\ +43 & 1849 & 851 & 5 & 60319 & 0.985353 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 0.246566 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.288529 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 0.429505 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.csv new file mode 100644 index 000000000..5545f93ba --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,0.2442776197978139,,, +85,1833,13,0,20719,,0.039464580766020364,0.2793818182583435,0.05463321976357928 +86,1833,14,0,20719,,0.022268029346987902,0.4484718233363876, +58,1833,23,0,200619,0.2808650716249791,,, +127,1833,26,0,200619,,,0.18170329543397132,0.03845930454039904 +0,1833,30,0,260619,0.39610284816544894,,0.3548297506820881, +1,1833,31,0,260619,0.1700975438224849,,0.1788674946134562,0.0375451920167823 +2,1833,32,0,260619,0.1241763153649584,0.02129241946995093,0.07047446140030428,0.0135789265443153 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a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.tex new file mode 100644 index 000000000..848c813ff --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_peak.tex @@ -0,0 +1,143 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +51 & 1833 & 8 & 0 & 20719 & 0.244278 & NaN & NaN & NaN \\ +85 & 1833 & 13 & 0 & 20719 & NaN & 0.039465 & 0.279382 & 0.054633 \\ +86 & 1833 & 14 & 0 & 20719 & NaN & 0.022268 & 0.448472 & NaN \\ +58 & 1833 & 23 & 0 & 200619 & 0.280865 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.181703 & 0.038459 \\ +0 & 1833 & 30 & 0 & 260619 & 0.396103 & NaN & 0.354830 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 0.170098 & NaN & 0.178867 & 0.037545 \\ +2 & 1833 & 32 & 0 & 260619 & 0.124176 & 0.021292 & 0.070474 & 0.013579 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.064390 & 0.119735 & 0.019112 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.045461 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 0.200384 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 0.183354 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 0.054411 & 0.024085 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 0.482658 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.040867 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.041255 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 0.574857 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 0.232872 & NaN & 0.128414 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 0.097813 & 0.036552 & 0.024679 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.015221 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.031887 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.035869 \\ +3 & 1833 & 78 & 1 & 260619 & 0.420028 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.310221 & 0.111336 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 0.047713 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.055178 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 0.083067 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.073365 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 0.537909 & 0.065238 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 0.122227 & 0.017445 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.058263 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.186251 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 0.307830 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 0.023347 & 0.057231 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.036544 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.056242 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 0.072226 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 0.448910 & 0.074480 & 0.290158 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 0.161385 & NaN & 0.066632 & NaN \\ +88 & 1833 & 134 & 3 & 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& 1833 & 205 & 5 & 260619 & 0.636549 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.085619 & 0.392278 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.015958 \\ +32 & 1833 & 214 & 5 & 290519 & 0.365434 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.131630 \\ +21 & 1833 & 231 & 6 & 50619 & 0.268410 & 0.049791 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 0.277121 & 0.020374 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 0.244011 & 0.045663 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.069727 & 0.027964 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.083046 & 0.025831 \\ +7 & 1833 & 243 & 6 & 260619 & 0.114212 & 0.040383 & 0.081771 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.027477 & 0.205299 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.104407 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.146555 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.065856 \\ +145 & 1833 & 249 & 6 & 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& 220319 & NaN & NaN & NaN & 0.017606 \\ +38 & 1834 & 361 & 3 & 10319 & 0.054071 & 0.022672 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 0.324645 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.126118 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 0.527406 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.132053 & 0.505312 & 0.025115 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.030462 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.226110 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.040500 \\ +25 & 1839 & 609 & 5 & 120619 & 0.179209 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.036215 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.255927 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 0.245414 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 0.060904 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 0.024414 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.079043 & NaN & NaN \\ +97 & 1839 & 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NaN & NaN & 0.692552 \\ +43 & 1849 & 851 & 5 & 60319 & 0.662908 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 0.050995 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.131422 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 0.472020 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_vec_len.csv new file mode 100644 index 000000000..ef5301707 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_gridcell_theta_vec_len.csv @@ -0,0 +1,138 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +51,1833,8,0,20719,0.19343899027908565,,, +85,1833,13,0,20719,,0.03994181273904801,0.2803988454090071,0.0017570114550796902 +86,1833,14,0,20719,,0.019377414616371172,0.2282325427558625, +58,1833,23,0,200619,0.1264614643421439,,, 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& 23 & 0 & 200619 & 0.126461 & NaN & NaN & NaN \\ +127 & 1833 & 26 & 0 & 200619 & NaN & NaN & 0.153675 & 0.022570 \\ +0 & 1833 & 30 & 0 & 260619 & 0.367033 & NaN & 0.365376 & NaN \\ +1 & 1833 & 31 & 0 & 260619 & 0.254539 & NaN & 0.286086 & 0.011179 \\ +2 & 1833 & 32 & 0 & 260619 & 0.189168 & 0.024590 & 0.170585 & 0.027328 \\ +67 & 1833 & 35 & 0 & 260619 & NaN & 0.017820 & 0.142141 & 0.006264 \\ +124 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.068066 & NaN \\ +10 & 1833 & 45 & 1 & 10719 & 0.238048 & NaN & NaN & NaN \\ +11 & 1833 & 46 & 1 & 10719 & 0.227790 & NaN & NaN & NaN \\ +12 & 1833 & 47 & 1 & 10719 & 0.107576 & 0.034919 & NaN & NaN \\ +13 & 1833 & 49 & 1 & 10719 & 0.239539 & NaN & NaN & NaN \\ +101 & 1833 & 53 & 1 & 10719 & NaN & 0.069613 & NaN & NaN \\ +102 & 1833 & 55 & 1 & 10719 & NaN & 0.030299 & NaN & NaN \\ +52 & 1833 & 56 & 1 & 20719 & 0.325482 & NaN & NaN & NaN \\ +53 & 1833 & 57 & 1 & 20719 & 0.202761 & NaN & 0.154656 & NaN \\ +54 & 1833 & 58 & 1 & 20719 & 0.080255 & 0.011642 & 0.032344 & NaN \\ +87 & 1833 & 59 & 1 & 20719 & NaN & 0.045668 & NaN & NaN \\ +134 & 1833 & 61 & 1 & 20719 & NaN & NaN & NaN & 0.006026 \\ +135 & 1833 & 63 & 1 & 20719 & NaN & NaN & NaN & 0.007734 \\ +3 & 1833 & 78 & 1 & 260619 & 0.232775 & NaN & NaN & NaN \\ +4 & 1833 & 79 & 1 & 260619 & 0.367910 & 0.049529 & NaN & NaN \\ +125 & 1833 & 83 & 1 & 260619 & NaN & NaN & 0.112073 & NaN \\ +140 & 1833 & 86 & 1 & 260619 & NaN & NaN & NaN & 0.023788 \\ +93 & 1833 & 89 & 1 & 290519 & NaN & 0.016873 & NaN & NaN \\ +94 & 1833 & 91 & 1 & 290519 & NaN & 0.016741 & NaN & NaN \\ +14 & 1833 & 96 & 2 & 10719 & 0.202539 & 0.028068 & NaN & NaN \\ +19 & 1833 & 106 & 2 & 50619 & 0.208253 & 0.037303 & NaN & NaN \\ +77 & 1833 & 108 & 2 & 50619 & NaN & 0.012255 & NaN & NaN \\ +95 & 1833 & 117 & 2 & 290519 & NaN & 0.067839 & NaN & NaN \\ +15 & 1833 & 118 & 3 & 10719 & 0.212297 & NaN & NaN & NaN \\ +16 & 1833 & 121 & 3 & 10719 & 0.062947 & 0.032502 & NaN & NaN \\ +103 & 1833 & 124 & 3 & 10719 & NaN & 0.026976 & NaN & NaN \\ +104 & 1833 & 128 & 3 & 10719 & NaN & 0.013695 & NaN & NaN \\ +55 & 1833 & 129 & 3 & 20719 & 0.139168 & NaN & NaN & NaN \\ +56 & 1833 & 130 & 3 & 20719 & 0.276762 & 0.025948 & 0.257105 & NaN \\ +57 & 1833 & 132 & 3 & 20719 & 0.174179 & NaN & 0.116700 & NaN \\ +88 & 1833 & 134 & 3 & 20719 & NaN & 0.017625 & NaN & NaN \\ +89 & 1833 & 135 & 3 & 20719 & NaN & 0.017260 & NaN & NaN \\ +118 & 1833 & 136 & 3 & 20719 & NaN & NaN & 0.181249 & NaN \\ +79 & 1833 & 144 & 3 & 120619 & NaN & 0.039216 & NaN & NaN \\ +128 & 1833 & 149 & 3 & 200619 & NaN & NaN & 0.098570 & 0.006479 \\ +5 & 1833 & 150 & 3 & 260619 & 0.195752 & 0.021015 & NaN & NaN \\ +40 & 1833 & 168 & 4 & 120619 & 0.061241 & 0.044005 & 0.072376 & 0.015547 \\ +80 & 1833 & 171 & 4 & 120619 & NaN & 0.022268 & NaN & NaN \\ +59 & 1833 & 174 & 4 & 200619 & 0.025557 & NaN & NaN & NaN \\ +129 & 1833 & 176 & 4 & 200619 & NaN & NaN & 0.090773 & NaN \\ +31 & 1833 & 179 & 4 & 290519 & 0.208566 & NaN & NaN & NaN \\ +17 & 1833 & 185 & 5 & 10719 & 0.469259 & NaN & NaN & NaN \\ +18 & 1833 & 186 & 5 & 10719 & 0.228189 & NaN & NaN & NaN \\ +119 & 1833 & 195 & 5 & 20719 & NaN & NaN & 0.158630 & 0.027446 \\ +81 & 1833 & 202 & 5 & 120619 & NaN & 0.035075 & NaN & NaN \\ +130 & 1833 & 204 & 5 & 200619 & NaN & NaN & 0.443417 & NaN \\ +6 & 1833 & 205 & 5 & 260619 & 0.368525 & NaN & NaN & NaN \\ +68 & 1833 & 206 & 5 & 260619 & NaN & 0.026450 & 0.317171 & NaN \\ +141 & 1833 & 210 & 5 & 260619 & NaN & NaN & NaN & 0.007049 \\ +32 & 1833 & 214 & 5 & 290519 & 0.351678 & NaN & NaN & NaN \\ +146 & 1833 & 218 & 5 & 290519 & NaN & NaN & NaN & 0.006766 \\ +21 & 1833 & 231 & 6 & 50619 & 0.207140 & 0.014487 & NaN & NaN \\ +22 & 1833 & 232 & 6 & 50619 & 0.160391 & 0.024291 & NaN & NaN \\ +41 & 1833 & 233 & 6 & 120619 & 0.138508 & 0.008692 & NaN & NaN \\ +113 & 1833 & 234 & 6 & 120619 & NaN & NaN & 0.106035 & 0.028027 \\ +114 & 1833 & 240 & 6 & 120619 & NaN & NaN & 0.134161 & 0.020291 \\ +7 & 1833 & 243 & 6 & 260619 & 0.102836 & 0.044481 & 0.075194 & NaN \\ +82 & 1833 & 244 & 6 & 120619 & NaN & 0.051055 & 0.198279 & NaN \\ +115 & 1833 & 245 & 6 & 120619 & NaN & NaN & 0.299132 & NaN \\ +116 & 1833 & 246 & 6 & 120619 & NaN & NaN & 0.210093 & NaN \\ +144 & 1833 & 248 & 6 & 120619 & NaN & NaN & NaN & 0.006341 \\ +145 & 1833 & 249 & 6 & 120619 & NaN & NaN & NaN & 0.009098 \\ +60 & 1833 & 250 & 6 & 200619 & 0.208476 & NaN & 0.180424 & NaN \\ +61 & 1833 & 251 & 6 & 200619 & 0.135544 & NaN & NaN & NaN \\ +62 & 1833 & 252 & 6 & 200619 & 0.123583 & NaN & NaN & NaN \\ +63 & 1833 & 253 & 6 & 200619 & 0.083286 & 0.013051 & 0.107870 & 0.023416 \\ +91 & 1833 & 254 & 6 & 200619 & NaN & 0.022019 & NaN & NaN \\ +92 & 1833 & 257 & 6 & 200619 & NaN & 0.092769 & NaN & NaN \\ +137 & 1833 & 260 & 6 & 200619 & NaN & NaN & NaN & 0.009837 \\ +138 & 1833 & 261 & 6 & 200619 & NaN & NaN & NaN & 0.015483 \\ +8 & 1833 & 263 & 6 & 260619 & 0.217649 & NaN & NaN & 0.003986 \\ +9 & 1833 & 265 & 6 & 260619 & 0.265322 & NaN & NaN & NaN \\ +126 & 1833 & 270 & 6 & 260619 & NaN & NaN & 0.316578 & NaN \\ +142 & 1833 & 274 & 6 & 260619 & NaN & NaN & NaN & 0.031059 \\ +143 & 1833 & 275 & 6 & 260619 & NaN & NaN & NaN & 0.016657 \\ +33 & 1833 & 278 & 6 & 290519 & 0.146444 & NaN & NaN & NaN \\ +34 & 1833 & 279 & 6 & 290519 & 0.126728 & NaN & NaN & NaN \\ +106 & 1833 & 284 & 6 & 290519 & NaN & NaN & 0.126752 & NaN \\ +107 & 1833 & 285 & 6 & 290519 & NaN & NaN & 0.350264 & NaN \\ +108 & 1833 & 286 & 6 & 290519 & NaN & NaN & 0.117497 & NaN \\ +83 & 1833 & 301 & 7 & 120619 & NaN & 0.008470 & NaN & NaN \\ +117 & 1833 & 302 & 7 & 120619 & NaN & NaN & 0.023008 & NaN \\ +64 & 1833 & 304 & 7 & 200619 & 0.049160 & 0.010281 & 0.052395 & 0.002060 \\ +35 & 1833 & 317 & 7 & 290519 & 0.136782 & NaN & 0.002119 & NaN \\ +109 & 1833 & 322 & 7 & 290519 & NaN & NaN & 0.044529 & NaN \\ +75 & 1834 & 329 & 0 & 10319 & NaN & 0.073145 & NaN & NaN \\ +47 & 1834 & 332 & 0 & 60319 & 0.262779 & NaN & NaN & 0.015204 \\ +48 & 1834 & 338 & 0 & 60319 & 0.257669 & NaN & NaN & NaN \\ +120 & 1834 & 356 & 2 & 120319 & NaN & NaN & 0.273536 & NaN \\ +44 & 1834 & 357 & 2 & 220319 & 0.301335 & 0.002955 & 0.207938 & NaN \\ +45 & 1834 & 358 & 2 & 220319 & 0.262869 & 0.053140 & 0.199764 & NaN \\ +46 & 1834 & 359 & 2 & 220319 & 0.391979 & NaN & NaN & NaN \\ +136 & 1834 & 360 & 2 & 220319 & NaN & NaN & NaN & 0.016056 \\ +38 & 1834 & 361 & 3 & 10319 & 0.401689 & 0.095883 & NaN & NaN \\ +39 & 1834 & 362 & 3 & 10319 & 0.416876 & NaN & NaN & NaN \\ +76 & 1834 & 364 & 3 & 10319 & NaN & 0.081400 & NaN & NaN \\ +24 & 1834 & 379 & 3 & 150319 & 0.321802 & NaN & NaN & NaN \\ +70 & 1834 & 381 & 3 & 150319 & NaN & 0.027330 & 0.325567 & 0.018774 \\ +66 & 1834 & 482 & 6 & 220319 & NaN & 0.007848 & NaN & NaN \\ +84 & 1834 & 518 & 7 & 110319 & NaN & 0.015366 & NaN & NaN \\ +132 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.086740 \\ +25 & 1839 & 609 & 5 & 120619 & 0.217215 & NaN & NaN & NaN \\ +96 & 1839 & 611 & 5 & 120619 & NaN & 0.042525 & NaN & NaN \\ +122 & 1839 & 612 & 5 & 120619 & NaN & NaN & 0.170957 & NaN \\ +36 & 1839 & 613 & 5 & 200619 & 0.213318 & NaN & NaN & NaN \\ +27 & 1839 & 615 & 5 & 290519 & 0.070581 & NaN & NaN & NaN \\ +28 & 1839 & 616 & 5 & 290519 & 0.044098 & NaN & NaN & NaN \\ +71 & 1839 & 617 & 5 & 290519 & NaN & 0.013637 & NaN & NaN \\ +97 & 1839 & 629 & 6 & 120619 & NaN & 0.026436 & 0.078759 & 0.015073 \\ +100 & 1839 & 645 & 6 & 200619 & NaN & 0.021593 & NaN & NaN \\ +49 & 1839 & 655 & 7 & 60619 & 0.247085 & 0.034505 & NaN & 0.019525 \\ +110 & 1839 & 656 & 7 & 60619 & NaN & NaN & 0.085332 & 0.021633 \\ +111 & 1839 & 657 & 7 & 60619 & NaN & NaN & 0.330313 & NaN \\ +26 & 1839 & 658 & 7 & 120619 & 0.201731 & NaN & NaN & NaN \\ +123 & 1839 & 659 & 7 & 120619 & NaN & NaN & 0.201614 & 0.030012 \\ +133 & 1839 & 660 & 7 & 120619 & NaN & NaN & NaN & 0.051505 \\ +37 & 1839 & 661 & 7 & 200619 & 0.171628 & NaN & NaN & NaN \\ +29 & 1839 & 666 & 7 & 290519 & 0.233189 & NaN & NaN & NaN \\ +30 & 1839 & 667 & 7 & 290519 & 0.027256 & NaN & NaN & NaN \\ +72 & 1839 & 671 & 7 & 290519 & NaN & 0.041355 & NaN & NaN \\ +69 & 1849 & 684 & 0 & 220319 & NaN & 0.020329 & NaN & NaN \\ +50 & 1849 & 715 & 1 & 110319 & 0.153461 & 0.083730 & NaN & NaN \\ +73 & 1849 & 724 & 1 & 280219 & NaN & 0.027143 & NaN & 0.001331 \\ +139 & 1849 & 835 & 4 & 150319 & NaN & NaN & NaN & 0.006205 \\ +43 & 1849 & 851 & 5 & 60319 & 0.342038 & NaN & NaN & NaN \\ +65 & 1849 & 932 & 7 & 280219 & 0.276303 & NaN & NaN & NaN \\ +74 & 1849 & 937 & 7 & 280219 & NaN & 0.059807 & NaN & NaN \\ +105 & 1849 & 939 & 7 & 280219 & NaN & NaN & 0.352248 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.csv new file mode 100644 index 000000000..2187121d2 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,1.185034300582688 +41,1833,27,0,200619,,,,2.3549414360850642 +17,1833,34,0,260619,,5.077148764829444,,0.362934791457752 +7,1833,40,0,290519,,,,5.672945315068137 +27,1833,42,0,290519,,6.250754763548115,, +52,1833,84,1,260619,,,,3.487006031771817 +28,1833,89,1,290519,,6.268933873726965,, +37,1833,94,1,290519,,,,4.987263464062497 +15,1833,112,2,200619,,0.03586448999544321,,1.8759482513042247 +0,1833,113,2,260619,,5.521397568439734,,2.6248629840691735 +2,1833,120,3,10719,,4.713855491438512,, +48,1833,137,3,20719,,,,5.139383769270131 +16,1833,146,3,200619,,,,3.698153072546234 +8,1833,155,3,290519,,,,5.174357575254909 +29,1833,160,3,290519,,6.245197974311055,, +36,1833,163,4,10719,,4.663011935396557,, +49,1833,167,4,20719,,,,4.930744717002291 +54,1833,184,4,290519,,,,0.4918691103482029 +1,1833,188,5,260619,,5.839995903215282,,4.2872626095725135 +22,1833,196,5,120619,,1.7052566779611629,,3.0579121394132858 +23,1833,203,5,120619,,1.4841025402674126,, +53,1833,209,5,260619,,,,3.4662364005153243 +55,1833,324,7,290519,,,,1.361963277029078 +24,1834,394,4,60319,,5.513373550832979,, +51,1834,396,4,60319,,,,1.0965358406293613 +9,1834,397,4,110319,,0.2801393265535072,, +19,1834,401,4,150319,,3.606718623779978,, +6,1834,463,6,150319,,3.8312959829651194,,6.16554554930283 +31,1839,570,0,200619,,4.86419439227072,, +32,1839,571,0,200619,,5.146051466598774,, +42,1839,577,1,120619,,,,4.968624815703809 +43,1839,578,1,120619,,,,5.603530443320711 +56,1839,624,6,60619,,,,4.921383740265621 +30,1839,632,6,120619,,1.4749948067829204,, +40,1839,633,6,120619,,,,3.0252029610720754 +44,1839,641,6,120619,,,,2.546099900223608 +33,1839,644,6,200619,,5.971072952779165,, +34,1839,646,6,200619,,5.831316551551758,, +35,1839,649,6,200619,,6.05514944272264,, +18,1849,730,1,220319,,4.622771576468142,, +13,1849,759,2,150319,,1.8802298530410149,,2.128530908021641 +4,1849,762,2,220319,,,,3.996380353235352 +45,1849,772,2,280219,,,,1.3808149049270608 +11,1849,819,4,60319,,,,3.2582599363429825 +39,1849,834,4,220319,,,,5.54390951060237 +20,1849,844,4,280219,,0.8285650769662709,, +46,1849,847,4,280219,,,,2.1560105850920093 +47,1849,891,5,280219,,,,3.4736388156862636 +21,1849,919,7,280219,,1.1346957828790718,,4.877160135356945 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.tex new file mode 100644 index 000000000..a1589a4fc --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_ang.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 1.185034 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 2.354941 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 5.077149 & NaN & 0.362935 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 5.672945 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 6.250755 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 3.487006 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 6.268934 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 4.987263 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 0.035864 & NaN & 1.875948 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 5.521398 & NaN & 2.624863 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 4.713855 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 5.139384 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 3.698153 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 5.174358 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 6.245198 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 4.663012 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 4.930745 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.491869 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 5.839996 & NaN & 4.287263 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 1.705257 & NaN & 3.057912 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 1.484103 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 3.466236 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 1.361963 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 5.513374 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 1.096536 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 0.280139 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 3.606719 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 3.831296 & NaN & 6.165546 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 4.864194 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 5.146051 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 4.968625 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 5.603530 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 4.921384 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 1.474995 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 3.025203 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 2.546100 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 5.971073 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 5.831317 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 6.055149 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 4.622772 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 1.880230 & NaN & 2.128531 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 3.996380 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 1.380815 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 3.258260 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 5.543910 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.828565 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 2.156011 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 3.473639 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 1.134696 & NaN & 4.877160 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.csv new file mode 100644 index 000000000..f53ca02a6 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.13120108001796074 +41,1833,27,0,200619,,,,0.027166720168655074 +17,1833,34,0,260619,,0.18898741356088808,,0.05776325331965476 +7,1833,40,0,290519,,,,0.14878765831407942 +27,1833,42,0,290519,,0.11806734937998123,, +52,1833,84,1,260619,,,,0.1491594799946514 +28,1833,89,1,290519,,0.1990005345490805,, +37,1833,94,1,290519,,,,0.15543571571715573 +15,1833,112,2,200619,,0.08340744615245271,,0.05123542266553991 +0,1833,113,2,260619,,0.2345075952290143,,0.0760720655838564 +2,1833,120,3,10719,,0.20980632647828054,, +48,1833,137,3,20719,,,,0.1654025673860667 +16,1833,146,3,200619,,,,0.12283986386561895 +8,1833,155,3,290519,,,,0.13195472503651778 +29,1833,160,3,290519,,0.030427058179772083,, +36,1833,163,4,10719,,0.07488288014257982,, +49,1833,167,4,20719,,,,0.19237788124092806 +54,1833,184,4,290519,,,,0.1294002072039434 +1,1833,188,5,260619,,0.2220175806215656,,0.22952935582993844 +22,1833,196,5,120619,,0.21421790774816005,,0.24566486308024946 +23,1833,203,5,120619,,0.2007755399143776,, +53,1833,209,5,260619,,,,0.2885981325670891 +55,1833,324,7,290519,,,,0.10473132425649932 +24,1834,394,4,60319,,0.00549328013357272,, +51,1834,396,4,60319,,,,0.1248583579412377 +9,1834,397,4,110319,,0.11283589730230582,, +19,1834,401,4,150319,,0.01786995058034115,, +6,1834,463,6,150319,,0.1802556984376721,,0.06415837438717341 +31,1839,570,0,200619,,0.06926102903840294,, +32,1839,571,0,200619,,0.09784281654651232,, +42,1839,577,1,120619,,,,0.015455263790541284 +43,1839,578,1,120619,,,,0.07633880856250565 +56,1839,624,6,60619,,,,0.2912830980874728 +30,1839,632,6,120619,,0.1198375724798195,, +40,1839,633,6,120619,,,,0.25759728366188384 +44,1839,641,6,120619,,,,0.27725162114530955 +33,1839,644,6,200619,,0.1071243052908631,, +34,1839,646,6,200619,,0.06168639590105601,, +35,1839,649,6,200619,,0.0619909587585191,, +18,1849,730,1,220319,,0.18483915270806786,, +13,1849,759,2,150319,,0.1979384637555406,,0.24005234171177575 +4,1849,762,2,220319,,,,0.1429305965391503 +45,1849,772,2,280219,,,,0.3112096584243841 +11,1849,819,4,60319,,,,0.27942179332899203 +39,1849,834,4,220319,,,,0.12182787633966985 +20,1849,844,4,280219,,0.0570255075967826,, +46,1849,847,4,280219,,,,0.10553257787004396 +47,1849,891,5,280219,,,,0.07549061838033523 +21,1849,919,7,280219,,0.14889340757986605,,0.07911240996295632 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.tex new file mode 100644 index 000000000..1921646f8 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_energy.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.131201 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 0.027167 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.188987 & NaN & 0.057763 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 0.148788 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.118067 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.149159 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.199001 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 0.155436 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 0.083407 & NaN & 0.051235 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 0.234508 & NaN & 0.076072 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 0.209806 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.165403 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 0.122840 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 0.131955 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.030427 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.074883 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.192378 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.129400 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 0.222018 & NaN & 0.229529 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.214218 & NaN & 0.245665 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.200776 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.288598 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.104731 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.005493 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.124858 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 0.112836 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.017870 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 0.180256 & NaN & 0.064158 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.069261 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.097843 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.015455 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.076339 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.291283 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.119838 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 0.257597 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.277252 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.107124 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.061686 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.061991 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.184839 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 0.197938 & NaN & 0.240052 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 0.142931 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.311210 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 0.279422 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 0.121828 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.057026 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.105533 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.075491 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.148893 & NaN & 0.079112 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.csv new file mode 100644 index 000000000..07feee844 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.3588477156212413 +41,1833,27,0,200619,,,,0.4259219938585197 +17,1833,34,0,260619,,0.27955492919913105,,0.4872369373551457 +7,1833,40,0,290519,,,,0.26918032141417925 +27,1833,42,0,290519,,0.2389993830061137,, +52,1833,84,1,260619,,,,0.26361061698176513 +28,1833,89,1,290519,,0.2900368235167683,, +37,1833,94,1,290519,,,,0.2516087969833798 +15,1833,112,2,200619,,0.20437533929233886,,0.36638479075721264 +0,1833,113,2,260619,,0.3222404764104798,,0.2339410974990344 +2,1833,120,3,10719,,0.3213393038609293,, +48,1833,137,3,20719,,,,0.26832034006200445 +16,1833,146,3,200619,,,,0.2830515886174503 +8,1833,155,3,290519,,,,0.2636158674183981 +29,1833,160,3,290519,,0.15120260106330186,, +36,1833,163,4,10719,,0.24014543510750386,, +49,1833,167,4,20719,,,,0.2894302456569662 +54,1833,184,4,290519,,,,0.2620084728812273 +1,1833,188,5,260619,,0.3050282459929097,,0.32042372126817403 +22,1833,196,5,120619,,0.2960674272574959,,0.3324339768202513 +23,1833,203,5,120619,,0.2848794752503743,, +53,1833,209,5,260619,,,,0.3780483892831477 +55,1833,324,7,290519,,,,0.2483984056445259 +24,1834,394,4,60319,,0.14393379922577054,, +51,1834,396,4,60319,,,,0.2636358405494548 +9,1834,397,4,110319,,0.2517406918551828,, +19,1834,401,4,150319,,0.1516134831563445,, +6,1834,463,6,150319,,0.2984487786949828,,0.3581224319575682 +31,1839,570,0,200619,,0.20335982834298785,, +32,1839,571,0,200619,,0.22397363269151427,, +42,1839,577,1,120619,,,,0.25023386357546684 +43,1839,578,1,120619,,,,0.2527818981474752 +56,1839,624,6,60619,,,,0.4278974817307351 +30,1839,632,6,120619,,0.2499922254325817,, +40,1839,633,6,120619,,,,0.3341555832499168 +44,1839,641,6,120619,,,,0.3543164275119359 +33,1839,644,6,200619,,0.2152114553590998,, +34,1839,646,6,200619,,0.2023136406813197,, +35,1839,649,6,200619,,0.19884346756623472,, +18,1849,730,1,220319,,0.28530281423410386,, +13,1849,759,2,150319,,0.2821620158801519,,0.30682997542545465 +4,1849,762,2,220319,,,,0.2727432725021046 +45,1849,772,2,280219,,,,0.3689630239802071 +11,1849,819,4,60319,,,,0.3553416334235884 +39,1849,834,4,220319,,,,0.28070634159251284 +20,1849,844,4,280219,,0.2187834526665373,, +46,1849,847,4,280219,,,,0.25483608355348153 +47,1849,891,5,280219,,,,0.8302263999656425 +21,1849,919,7,280219,,0.2707481541404686,,0.23991609470960995 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.tex new file mode 100644 index 000000000..aaff11e58 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_half_width.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.358848 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 0.425922 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.279555 & NaN & 0.487237 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 0.269180 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.238999 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.263611 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.290037 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 0.251609 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 0.204375 & NaN & 0.366385 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 0.322240 & NaN & 0.233941 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 0.321339 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.268320 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 0.283052 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 0.263616 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.151203 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.240145 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.289430 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.262008 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 0.305028 & NaN & 0.320424 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.296067 & NaN & 0.332434 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.284879 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.378048 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.248398 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.143934 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.263636 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 0.251741 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.151613 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 0.298449 & NaN & 0.358122 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.203360 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.223974 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.250234 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.252782 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.427897 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.249992 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 0.334156 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.354316 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.215211 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.202314 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.198843 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.285303 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 0.282162 & NaN & 0.306830 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 0.272743 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.368963 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 0.355342 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 0.280706 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.218783 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.254836 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.830226 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.270748 & NaN & 0.239916 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.csv new file mode 100644 index 000000000..002a127e4 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.5802752900409786 +41,1833,27,0,200619,,,,0.08008662947153003 +17,1833,34,0,260619,,0.7100491989976565,,0.1596478184720477 +7,1833,40,0,290519,,,,0.6237270935098298 +27,1833,42,0,290519,,0.6056533574451757,, +52,1833,84,1,260619,,,,0.640528612331003 +28,1833,89,1,290519,,0.7309708922389917,, +37,1833,94,1,290519,,,,0.6611978223442827 +15,1833,112,2,200619,,0.6751773351396326,,0.18292565805379135 +0,1833,113,2,260619,,0.7954141298707209,,0.35218387503848936 +2,1833,120,3,10719,,0.7152815612718286,, +48,1833,137,3,20719,,,,0.7045374142869236 +16,1833,146,3,200619,,,,0.5293017833419934 +8,1833,155,3,290519,,,,0.5616602203399143 +29,1833,160,3,290519,,0.2455359243757461,, +36,1833,163,4,10719,,0.4004078366883578,, +49,1833,167,4,20719,,,,0.8098667475423209 +54,1833,184,4,290519,,,,0.5746833510959876 +1,1833,188,5,260619,,0.7806802223559864,,0.7596217780680066 +22,1833,196,5,120619,,0.7716971166813412,,0.7839661567678075 +23,1833,203,5,120619,,0.7485396052490646,, +53,1833,209,5,260619,,,,0.8991459780365663 +55,1833,324,7,290519,,,,0.4612842609580322 +24,1834,394,4,60319,,0.04424448838109207,, +51,1834,396,4,60319,,,,0.5638489670421519 +9,1834,397,4,110319,,0.5810980700876739,, +19,1834,401,4,150319,,0.1442983577015427,, +6,1834,463,6,150319,,0.6461495312454079,,0.2276203989071672 +31,1839,570,0,200619,,0.5607892652113508,, +32,1839,571,0,200619,,0.5104230768441638,, +42,1839,577,1,120619,,,,0.06550426468537578 +43,1839,578,1,120619,,,,0.35605899763884497 +56,1839,624,6,60619,,,,0.8754777992548093 +30,1839,632,6,120619,,0.6000353635914587,, +40,1839,633,6,120619,,,,0.8206339608877257 +44,1839,641,6,120619,,,,0.8676303322466329 +33,1839,644,6,200619,,0.5787500840071409,, +34,1839,646,6,200619,,0.5003548665544346,, +35,1839,649,6,200619,,0.5024044621106607,, +18,1849,730,1,220319,,0.6917400810174803,, +13,1849,759,2,150319,,0.7438544185753372,,0.8006373811835665 +4,1849,762,2,220319,,,,0.6172167655788243 +45,1849,772,2,280219,,,,0.9310152937008768 +11,1849,819,4,60319,,,,0.8680974645013204 +39,1849,834,4,220319,,,,0.5281671485542712 +20,1849,844,4,280219,,0.4620549386058668,, +46,1849,847,4,280219,,,,0.4660005989481383 +47,1849,891,5,280219,,,,0.11349237108311358 +21,1849,919,7,280219,,0.5715824335870867,,0.3610489489353973 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.tex new file mode 100644 index 000000000..415a4bdee --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_p_max.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.580275 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 0.080087 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.710049 & NaN & 0.159648 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 0.623727 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.605653 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.640529 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.730971 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 0.661198 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 0.675177 & NaN & 0.182926 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 0.795414 & NaN & 0.352184 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 0.715282 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.704537 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 0.529302 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 0.561660 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.245536 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.400408 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.809867 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.574683 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 0.780680 & NaN & 0.759622 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.771697 & NaN & 0.783966 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.748540 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.899146 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.461284 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.044244 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.563849 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 0.581098 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.144298 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 0.646150 & NaN & 0.227620 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.560789 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.510423 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.065504 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.356059 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.875478 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.600035 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 0.820634 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.867630 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.578750 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.500355 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.502404 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.691740 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 0.743854 & NaN & 0.800637 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 0.617217 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.931015 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 0.868097 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 0.528167 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.462055 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.466001 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.113492 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.571582 & NaN & 0.361049 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.csv new file mode 100644 index 000000000..86e7cf0ef --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,4.009279153030642 +41,1833,27,0,200619,,,,0.8917655761148263 +17,1833,34,0,260619,,4.949948483200606,,2.776529265661426 +7,1833,40,0,290519,,,,2.0872254554393135 +27,1833,42,0,290519,,11.680243101876062,, +52,1833,84,1,260619,,,,13.051827945242296 +28,1833,89,1,290519,,8.799798463849347,, +37,1833,94,1,290519,,,,5.2583269747767325 +15,1833,112,2,200619,,6.074844895902044,,1.3016318157506397 +0,1833,113,2,260619,,2.9719627599309297,,1.96278435389 +2,1833,120,3,10719,,9.854138129892887,, +48,1833,137,3,20719,,,,16.25311040405914 +16,1833,146,3,200619,,,,18.919553617500608 +8,1833,155,3,290519,,,,2.628487943309923 +29,1833,160,3,290519,,9.141084453213804,, +36,1833,163,4,10719,,8.046849507256775,, +49,1833,167,4,20719,,,,7.609952670830829 +54,1833,184,4,290519,,,,18.061483542769814 +1,1833,188,5,260619,,4.245381774405955,,14.481194147649468 +22,1833,196,5,120619,,14.011844503831655,,10.110897404632194 +23,1833,203,5,120619,,8.97402364797288,, +53,1833,209,5,260619,,,,19.70700485452704 +55,1833,324,7,290519,,,,15.19617590027464 +24,1834,394,4,60319,,1.7329681464087712,, +51,1834,396,4,60319,,,,31.074031953556936 +9,1834,397,4,110319,,9.137963418988209,, +19,1834,401,4,150319,,3.125485059785937,, +6,1834,463,6,150319,,2.684047025936137,,1.3513451470149258 +31,1839,570,0,200619,,10.542229018126571,, +32,1839,571,0,200619,,15.836835000445719,, +42,1839,577,1,120619,,,,1.6173951379928198 +43,1839,578,1,120619,,,,10.658689318498242 +56,1839,624,6,60619,,,,16.95245205196379 +30,1839,632,6,120619,,6.507546362584122,, +40,1839,633,6,120619,,,,25.452729390761892 +44,1839,641,6,120619,,,,3.5841643423759613 +33,1839,644,6,200619,,7.263634736869151,, +34,1839,646,6,200619,,6.347495909486297,, +35,1839,649,6,200619,,3.8141872647005983,, +18,1849,730,1,220319,,9.288621011766324,, +13,1849,759,2,150319,,3.2968308929703345,,18.711552642092325 +4,1849,762,2,220319,,,,20.6025467343579 +45,1849,772,2,280219,,,,23.187588770022185 +11,1849,819,4,60319,,,,22.01276646960744 +39,1849,834,4,220319,,,,9.155078881440359 +20,1849,844,4,280219,,13.653142674513782,, +46,1849,847,4,280219,,,,1.8588354917106154 +47,1849,891,5,280219,,,,1.1080943619785766 +21,1849,919,7,280219,,4.385732915721412,,1.3075207226163401 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.tex new file mode 100644 index 000000000..132eb9fc7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_strength.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 4.009279 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 0.891766 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 4.949948 & NaN & 2.776529 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 2.087225 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 11.680243 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 13.051828 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 8.799798 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 5.258327 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 6.074845 & NaN & 1.301632 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 2.971963 & NaN & 1.962784 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 9.854138 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 16.253110 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 18.919554 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 2.628488 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 9.141084 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 8.046850 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 7.609953 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 18.061484 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 4.245382 & NaN & 14.481194 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 14.011845 & NaN & 10.110897 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 8.974024 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 19.707005 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 15.196176 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 1.732968 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 31.074032 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 9.137963 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 3.125485 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 2.684047 & NaN & 1.351345 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 10.542229 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 15.836835 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 1.617395 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 10.658689 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 16.952452 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 6.507546 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 25.452729 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 3.584164 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 7.263635 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 6.347496 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 3.814187 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 9.288621 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 3.296831 & NaN & 18.711553 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 20.602547 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 23.187589 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 22.012766 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 9.155079 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 13.653143 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 1.858835 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 1.108094 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 4.385733 & NaN & 1.307521 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.csv new file mode 100644 index 000000000..9e0267ff4 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.2292085343283253 +41,1833,27,0,200619,,,,0.02773197600472405 +17,1833,34,0,260619,,0.20401199101947265,,0.04914146820894793 +7,1833,40,0,290519,,,,0.1864026280952947 +27,1833,42,0,290519,,0.15182624848232004,, +52,1833,84,1,260619,,,,0.20799044871122116 +28,1833,89,1,290519,,0.2671443059070919,, +37,1833,94,1,290519,,,,0.17687524323195006 +15,1833,112,2,200619,,0.2846123642634668,,0.04704343995682056 +0,1833,113,2,260619,,0.3470631979072851,,0.055367610584000186 +2,1833,120,3,10719,,0.258115888292162,, +48,1833,137,3,20719,,,,0.2568264289084717 +16,1833,146,3,200619,,,,0.2134300876195045 +8,1833,155,3,290519,,,,0.1383406600348196 +29,1833,160,3,290519,,0.07406935404519853,, +36,1833,163,4,10719,,0.2852876423468276,, +49,1833,167,4,20719,,,,0.3616033501050156 +54,1833,184,4,290519,,,,0.1992157371340584 +1,1833,188,5,260619,,0.3577205960636627,,0.29115005225618384 +22,1833,196,5,120619,,0.2685687176507773,,0.2943132217987693 +23,1833,203,5,120619,,0.2873176240076057,, +53,1833,209,5,260619,,,,0.4548590670204939 +55,1833,324,7,290519,,,,0.15709680030967638 +24,1834,394,4,60319,,0.026916774572883176,, +51,1834,396,4,60319,,,,0.1802806247768097 +9,1834,397,4,110319,,0.08357184000938778,, +19,1834,401,4,150319,,0.11030247166082516,, +6,1834,463,6,150319,,0.14108175682502772,,0.1195572036178496 +31,1839,570,0,200619,,0.22594341119441375,, +32,1839,571,0,200619,,0.3885123928185029,, +42,1839,577,1,120619,,,,0.2349394779266036 +43,1839,578,1,120619,,,,0.2364206073658477 +56,1839,624,6,60619,,,,0.5575499045390784 +30,1839,632,6,120619,,0.14427428993125946,, +40,1839,633,6,120619,,,,0.2726880396169343 +44,1839,641,6,120619,,,,0.4662091880261007 +33,1839,644,6,200619,,0.3403764243094393,, +34,1839,646,6,200619,,0.2607388204004062,, +35,1839,649,6,200619,,0.4023246433294877,, +18,1849,730,1,220319,,0.22951352318252025,, +13,1849,759,2,150319,,0.26780402926951874,,0.32447643408553645 +4,1849,762,2,220319,,,,0.1856184947386805 +45,1849,772,2,280219,,,,0.36130762926860094 +11,1849,819,4,60319,,,,0.3297247319147661 +39,1849,834,4,220319,,,,0.2106663080024884 +20,1849,844,4,280219,,0.5398562370239487,, +46,1849,847,4,280219,,,,0.20230260041436365 +47,1849,891,5,280219,,,,0.029258639916650887 +21,1849,919,7,280219,,0.3650699369006244,,0.1967258503293537 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.tex new file mode 100644 index 000000000..5d1a553af --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_stim_vec_len.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.229209 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & NaN & 0.027732 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.204012 & NaN & 0.049141 \\ +7 & 1833 & 40 & 0 & 290519 & NaN & NaN & NaN & 0.186403 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.151826 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.207990 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.267144 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & NaN & 0.176875 \\ +15 & 1833 & 112 & 2 & 200619 & NaN & 0.284612 & NaN & 0.047043 \\ +0 & 1833 & 113 & 2 & 260619 & NaN & 0.347063 & NaN & 0.055368 \\ +2 & 1833 & 120 & 3 & 10719 & NaN & 0.258116 & NaN & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.256826 \\ +16 & 1833 & 146 & 3 & 200619 & NaN & NaN & NaN & 0.213430 \\ +8 & 1833 & 155 & 3 & 290519 & NaN & NaN & NaN & 0.138341 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.074069 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.285288 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.361603 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.199216 \\ +1 & 1833 & 188 & 5 & 260619 & NaN & 0.357721 & NaN & 0.291150 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.268569 & NaN & 0.294313 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.287318 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.454859 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.157097 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.026917 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.180281 \\ +9 & 1834 & 397 & 4 & 110319 & NaN & 0.083572 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.110302 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & NaN & 0.141082 & NaN & 0.119557 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.225943 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.388512 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.234939 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.236421 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.557550 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.144274 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & NaN & 0.272688 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.466209 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.340376 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.260739 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.402325 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.229514 & NaN & NaN \\ +13 & 1849 & 759 & 2 & 150319 & NaN & 0.267804 & NaN & 0.324476 \\ +4 & 1849 & 762 & 2 & 220319 & NaN & NaN & NaN & 0.185618 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.361308 \\ +11 & 1849 & 819 & 4 & 60319 & NaN & NaN & NaN & 0.329725 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & NaN & 0.210666 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.539856 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.202303 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.029259 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.365070 & NaN & 0.196726 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.csv new file mode 100644 index 000000000..939bbf362 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,1.4284819386889116 +41,1833,27,0,200619,,,3.460635367836906,1.5681647755927242 +17,1833,34,0,260619,,4.4863158738886035,3.2884222703731427,5.910716902031751 +7,1833,40,0,290519,3.7512699053487615,,3.7311244734696762,2.850717520744093 +27,1833,42,0,290519,,5.5148308696996535,, +52,1833,84,1,260619,,,,3.9679474717415935 +28,1833,89,1,290519,,6.0433609273755735,, +37,1833,94,1,290519,,,3.4974594243875203,3.09590737068419 +15,1833,112,2,200619,3.730777699227392,6.068081191111663,3.7529638278005306,3.4373233095199787 +0,1833,113,2,260619,3.9425080020699297,5.175530298144059,3.705595436062246,2.22846101397604 +14,1833,120,3,20719,4.015813903062325,4.1169226237308845,3.751360262848365, +48,1833,137,3,20719,,,,4.659288856884481 +16,1833,146,3,200619,3.6285061360502704,,3.232059328005063,4.131035891059092 +8,1833,155,3,290519,3.639211692462528,,3.9355975712504168,5.070323182452707 +29,1833,160,3,290519,,4.069659223187088,, +36,1833,163,4,10719,,4.2267425938678835,, +49,1833,167,4,20719,,,,0.7321746077478589 +54,1833,184,4,290519,,,,4.3082084491384895 +1,1833,188,5,260619,4.111476996557143,5.493719009013478,4.11796765082941,0.5521324579146754 +22,1833,196,5,120619,,1.2543449556464041,3.8353732208928784,3.8291701018363846 +23,1833,203,5,120619,,0.23832016150716046,, +53,1833,209,5,260619,,,,1.928647594049767 +55,1833,324,7,290519,,,,2.9640038960802646 +24,1834,394,4,60319,,2.931732424326161,, +51,1834,396,4,60319,,,,1.045435535935174 +9,1834,397,4,110319,1.6783045898353783,6.114444092291727,, +19,1834,401,4,150319,,2.2678027125444142,, +6,1834,463,6,150319,3.2135909444163784,2.6612504053206756,3.0872762882317706,3.6963024526285695 +31,1839,570,0,200619,,4.3719082272668865,, +32,1839,571,0,200619,,3.3331766070701305,, +42,1839,577,1,120619,,,,3.386587228932098 +43,1839,578,1,120619,,,,2.5166126458700986 +56,1839,624,6,60619,,,,4.88270791689534 +30,1839,632,6,120619,,0.4490567412424928,, +40,1839,633,6,120619,,,3.2618194918159373,0.8822520649101084 +44,1839,641,6,120619,,,,0.6271432276805273 +33,1839,644,6,200619,,5.880824536994039,, +34,1839,646,6,200619,,4.078854824860114,, +35,1839,649,6,200619,,5.647026878845207,, +18,1849,730,1,220319,,4.866294783694457,3.3179981242345518, +13,1849,759,2,150319,3.423582148361435,2.1528604809649967,3.486510843758321,3.2840114674528764 +4,1849,762,2,220319,3.2782031795022117,,,2.3734951521274046 +45,1849,772,2,280219,,,,0.4238624152984108 +11,1849,819,4,60319,4.23125339227572,,,5.2502677584755375 +39,1849,834,4,220319,,,3.5733260396052886,3.704019843394658 +20,1849,844,4,280219,,1.1717991282436957,, +46,1849,847,4,280219,,,,0.940478593169048 +47,1849,891,5,280219,,,,4.749013627838403 +21,1849,919,7,280219,,1.1430321295417272,3.2623069678335423,1.4430906665404697 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.tex new file mode 100644 index 000000000..d03a9951f --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_ang.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 1.428482 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 3.460635 & 1.568165 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 4.486316 & 3.288422 & 5.910717 \\ +7 & 1833 & 40 & 0 & 290519 & 3.751270 & NaN & 3.731124 & 2.850718 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 5.514831 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 3.967947 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 6.043361 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 3.497459 & 3.095907 \\ +15 & 1833 & 112 & 2 & 200619 & 3.730778 & 6.068081 & 3.752964 & 3.437323 \\ +0 & 1833 & 113 & 2 & 260619 & 3.942508 & 5.175530 & 3.705595 & 2.228461 \\ +14 & 1833 & 120 & 3 & 20719 & 4.015814 & 4.116923 & 3.751360 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 4.659289 \\ +16 & 1833 & 146 & 3 & 200619 & 3.628506 & NaN & 3.232059 & 4.131036 \\ +8 & 1833 & 155 & 3 & 290519 & 3.639212 & NaN & 3.935598 & 5.070323 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 4.069659 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 4.226743 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.732175 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 4.308208 \\ +1 & 1833 & 188 & 5 & 260619 & 4.111477 & 5.493719 & 4.117968 & 0.552132 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 1.254345 & 3.835373 & 3.829170 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.238320 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 1.928648 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 2.964004 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 2.931732 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 1.045436 \\ +9 & 1834 & 397 & 4 & 110319 & 1.678305 & 6.114444 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 2.267803 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 3.213591 & 2.661250 & 3.087276 & 3.696302 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 4.371908 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 3.333177 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 3.386587 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 2.516613 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 4.882708 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.449057 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 3.261819 & 0.882252 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.627143 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 5.880825 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 4.078855 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 5.647027 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 4.866295 & 3.317998 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 3.423582 & 2.152860 & 3.486511 & 3.284011 \\ +4 & 1849 & 762 & 2 & 220319 & 3.278203 & NaN & NaN & 2.373495 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.423862 \\ +11 & 1849 & 819 & 4 & 60319 & 4.231253 & NaN & NaN & 5.250268 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 3.573326 & 3.704020 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 1.171799 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.940479 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 4.749014 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 1.143032 & 3.262307 & 1.443091 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.csv new file mode 100644 index 000000000..562d84ca0 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.20233375370892487 +41,1833,27,0,200619,,,0.7858321127633527,0.11244289957317327 +17,1833,34,0,260619,,0.19569982504446526,0.9907447318756724,0.08487673394572594 +7,1833,40,0,290519,1.3221799480933722,,1.6593587866334798,0.4146963305437059 +27,1833,42,0,290519,,0.076182515614362,, +52,1833,84,1,260619,,,,0.048774420612263385 +28,1833,89,1,290519,,0.17316019791415624,, +37,1833,94,1,290519,,,0.6900612972551059,0.14055720960055873 +15,1833,112,2,200619,0.8421936880915204,0.1558788592665964,1.228058196814367,0.2029712162045032 +0,1833,113,2,260619,0.04905822795952265,0.655232654266055,1.2073227111286926,0.22304782640471668 +14,1833,120,3,20719,0.9827543827179176,0.07739417594822576,0.8069197881297051, +48,1833,137,3,20719,,,,0.04062164091309421 +16,1833,146,3,200619,0.5030556856602125,,0.8544451169709939,0.02966921399146735 +8,1833,155,3,290519,0.8101010638599802,,0.890732693001391,0.2034172260735552 +29,1833,160,3,290519,,0.026282113182684263,, +36,1833,163,4,10719,,0.06416296826635348,, +49,1833,167,4,20719,,,,0.12346341199793115 +54,1833,184,4,290519,,,,0.0426321982090708 +1,1833,188,5,260619,1.460604231231269,0.26016799366365617,1.5784970144574122,0.06508498103649236 +22,1833,196,5,120619,,0.08861735560548391,1.3287544679442396,0.10088600994554137 +23,1833,203,5,120619,,0.13308016067439402,, +53,1833,209,5,260619,,,,0.05591881014253612 +55,1833,324,7,290519,,,,0.03129128441294175 +24,1834,394,4,60319,,0.033178611641572466,, +51,1834,396,4,60319,,,,0.02398650578658945 +9,1834,397,4,110319,0.2036918963807204,0.0688825571355985,, +19,1834,401,4,150319,,0.06663073585972537,, +6,1834,463,6,150319,1.6613068767905157,0.4547794201159412,2.0776423635378505,0.3564486435624101 +31,1839,570,0,200619,,0.03911790268110933,, +32,1839,571,0,200619,,0.03454771846515716,, +42,1839,577,1,120619,,,,0.04554555361330705 +43,1839,578,1,120619,,,,0.0368794384053506 +56,1839,624,6,60619,,,,0.06864586732929527 +30,1839,632,6,120619,,0.055934765971293404,, +40,1839,633,6,120619,,,0.14056784789354634,0.02915843680563687 +44,1839,641,6,120619,,,,0.2496773740639752 +33,1839,644,6,200619,,0.1767608010068149,, +34,1839,646,6,200619,,0.0963193990319145,, +35,1839,649,6,200619,,0.2391141172337922,, +18,1849,730,1,220319,,0.11706146202986024,0.9054294286731996, +13,1849,759,2,150319,0.7327299553870302,0.4751016139826938,0.8850427916611602,0.07032743470626962 +4,1849,762,2,220319,1.5030456831368029,,,0.04305201800247877 +45,1849,772,2,280219,,,,0.02983125619518936 +11,1849,819,4,60319,1.3134790772190963,,,0.03526608069881782 +39,1849,834,4,220319,,,0.7282126616515077,0.045804717979332235 +20,1849,844,4,280219,,0.05014295662384722,, +46,1849,847,4,280219,,,,0.20196125930899428 +47,1849,891,5,280219,,,,0.19722487871357774 +21,1849,919,7,280219,,0.18019173258268212,0.7785716158401322,0.24575906006019155 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.tex new file mode 100644 index 000000000..5b15455ee --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_energy.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.202334 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 0.785832 & 0.112443 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.195700 & 0.990745 & 0.084877 \\ +7 & 1833 & 40 & 0 & 290519 & 1.322180 & NaN & 1.659359 & 0.414696 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.076183 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.048774 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.173160 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 0.690061 & 0.140557 \\ +15 & 1833 & 112 & 2 & 200619 & 0.842194 & 0.155879 & 1.228058 & 0.202971 \\ +0 & 1833 & 113 & 2 & 260619 & 0.049058 & 0.655233 & 1.207323 & 0.223048 \\ +14 & 1833 & 120 & 3 & 20719 & 0.982754 & 0.077394 & 0.806920 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.040622 \\ +16 & 1833 & 146 & 3 & 200619 & 0.503056 & NaN & 0.854445 & 0.029669 \\ +8 & 1833 & 155 & 3 & 290519 & 0.810101 & NaN & 0.890733 & 0.203417 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.026282 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.064163 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.123463 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.042632 \\ +1 & 1833 & 188 & 5 & 260619 & 1.460604 & 0.260168 & 1.578497 & 0.065085 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.088617 & 1.328754 & 0.100886 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.133080 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.055919 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.031291 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.033179 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.023987 \\ +9 & 1834 & 397 & 4 & 110319 & 0.203692 & 0.068883 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.066631 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 1.661307 & 0.454779 & 2.077642 & 0.356449 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.039118 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.034548 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.045546 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.036879 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.068646 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.055935 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 0.140568 & 0.029158 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.249677 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.176761 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.096319 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.239114 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.117061 & 0.905429 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 0.732730 & 0.475102 & 0.885043 & 0.070327 \\ +4 & 1849 & 762 & 2 & 220319 & 1.503046 & NaN & NaN & 0.043052 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.029831 \\ +11 & 1849 & 819 & 4 & 60319 & 1.313479 & NaN & NaN & 0.035266 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 0.728213 & 0.045805 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.050143 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.201961 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.197225 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.180192 & 0.778572 & 0.245759 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.csv new file mode 100644 index 000000000..74310e7e6 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,7.9345703125 +41,1833,27,0,200619,,,7.6904296875,7.9345703125 +17,1833,34,0,260619,,8.544921875,7.6904296875,7.4462890625 +7,1833,40,0,290519,7.568359375,,7.568359375,8.056640625 +27,1833,42,0,290519,,9.1552734375,, +52,1833,84,1,260619,,,,8.6669921875 +28,1833,89,1,290519,,7.9345703125,, +37,1833,94,1,290519,,,7.6904296875,8.30078125 +15,1833,112,2,200619,7.6904296875,8.056640625,7.8125,8.1787109375 +0,1833,113,2,260619,9.27734375,8.056640625,7.568359375,8.4228515625 +14,1833,120,3,20719,7.8125,7.080078125,7.8125, +48,1833,137,3,20719,,,,9.27734375 +16,1833,146,3,200619,7.6904296875,,7.8125,7.6904296875 +8,1833,155,3,290519,7.568359375,,7.4462890625,8.30078125 +29,1833,160,3,290519,,7.080078125,, +36,1833,163,4,10719,,8.7890625,, +49,1833,167,4,20719,,,,9.6435546875 +54,1833,184,4,290519,,,,8.9111328125 +1,1833,188,5,260619,7.4462890625,8.056640625,7.8125,8.30078125 +22,1833,196,5,120619,,7.8125,7.9345703125,8.6669921875 +23,1833,203,5,120619,,8.544921875,, +53,1833,209,5,260619,,,,8.30078125 +55,1833,324,7,290519,,,,8.1787109375 +24,1834,394,4,60319,,7.32421875,, +51,1834,396,4,60319,,,,9.521484375 +9,1834,397,4,110319,8.056640625,7.9345703125,, +19,1834,401,4,150319,,8.7890625,, +6,1834,463,6,150319,7.9345703125,7.6904296875,8.1787109375,8.4228515625 +31,1839,570,0,200619,,7.8125,, +32,1839,571,0,200619,,7.568359375,, +42,1839,577,1,120619,,,,7.9345703125 +43,1839,578,1,120619,,,,7.8125 +56,1839,624,6,60619,,,,6.34765625 +30,1839,632,6,120619,,8.4228515625,, +40,1839,633,6,120619,,,8.6669921875,7.32421875 +44,1839,641,6,120619,,,,8.9111328125 +33,1839,644,6,200619,,9.3994140625,, +34,1839,646,6,200619,,7.8125,, +35,1839,649,6,200619,,8.30078125,, +18,1849,730,1,220319,,6.8359375,8.056640625, +13,1849,759,2,150319,7.6904296875,8.056640625,7.8125,6.4697265625 +4,1849,762,2,220319,8.056640625,,,8.7890625 +45,1849,772,2,280219,,,,9.3994140625 +11,1849,819,4,60319,7.568359375,,,9.765625 +39,1849,834,4,220319,,,7.8125,7.568359375 +20,1849,844,4,280219,,7.2021484375,, +46,1849,847,4,280219,,,,9.1552734375 +47,1849,891,5,280219,,,,9.6435546875 +21,1849,919,7,280219,,7.080078125,8.056640625,9.3994140625 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.tex new file mode 100644 index 000000000..95e41db26 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_freq.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 7.934570 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 7.690430 & 7.934570 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 8.544922 & 7.690430 & 7.446289 \\ +7 & 1833 & 40 & 0 & 290519 & 7.568359 & NaN & 7.568359 & 8.056641 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 9.155273 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 8.666992 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 7.934570 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 7.690430 & 8.300781 \\ +15 & 1833 & 112 & 2 & 200619 & 7.690430 & 8.056641 & 7.812500 & 8.178711 \\ +0 & 1833 & 113 & 2 & 260619 & 9.277344 & 8.056641 & 7.568359 & 8.422852 \\ +14 & 1833 & 120 & 3 & 20719 & 7.812500 & 7.080078 & 7.812500 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 9.277344 \\ +16 & 1833 & 146 & 3 & 200619 & 7.690430 & NaN & 7.812500 & 7.690430 \\ +8 & 1833 & 155 & 3 & 290519 & 7.568359 & NaN & 7.446289 & 8.300781 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 7.080078 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 8.789062 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 9.643555 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 8.911133 \\ +1 & 1833 & 188 & 5 & 260619 & 7.446289 & 8.056641 & 7.812500 & 8.300781 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 7.812500 & 7.934570 & 8.666992 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 8.544922 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 8.300781 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 8.178711 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 7.324219 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 9.521484 \\ +9 & 1834 & 397 & 4 & 110319 & 8.056641 & 7.934570 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 8.789062 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 7.934570 & 7.690430 & 8.178711 & 8.422852 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 7.812500 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 7.568359 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 7.934570 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 7.812500 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 6.347656 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 8.422852 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 8.666992 & 7.324219 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 8.911133 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 9.399414 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 7.812500 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 8.300781 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 6.835938 & 8.056641 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 7.690430 & 8.056641 & 7.812500 & 6.469727 \\ +4 & 1849 & 762 & 2 & 220319 & 8.056641 & NaN & NaN & 8.789062 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 9.399414 \\ +11 & 1849 & 819 & 4 & 60319 & 7.568359 & NaN & NaN & 9.765625 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 7.812500 & 7.568359 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 7.202148 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 9.155273 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 9.643555 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 7.080078 & 8.056641 & 9.399414 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.csv new file mode 100644 index 000000000..9a92927c8 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,1.1195047296579848 +41,1833,27,0,200619,,,1.1164115587955346,0.3314226151688464 +17,1833,34,0,260619,,0.35628770798305354,1.2094303550404577,0.2792265117390853 +7,1833,40,0,290519,1.403813822202082,,1.8426532049190485,1.2808955118282066 +27,1833,42,0,290519,,0.29659123922719743,, +52,1833,84,1,260619,,,,0.30208874075017 +28,1833,89,1,290519,,1.1461425390892712,, +37,1833,94,1,290519,,,1.361397255438927,0.7286701731093768 +15,1833,112,2,200619,1.121814607175052,0.9154813580565966,1.4808944401945796,1.0914722928863425 +0,1833,113,2,260619,0.15304514597079866,1.7057370468875501,1.570609871027021,0.5667776727022513 +14,1833,120,3,20719,1.1526429889875596,0.5424325957888225,1.183717936452073, +48,1833,137,3,20719,,,,0.18623994727878568 +16,1833,146,3,200619,0.8786217670698209,,1.1210408203677726,0.5770751331903972 +8,1833,155,3,290519,1.0985811368623049,,1.5427383871302487,0.3836898068045702 +29,1833,160,3,290519,,0.2728951424439225,, +36,1833,163,4,10719,,0.27539483060297165,, +49,1833,167,4,20719,,,,0.7795948206756105 +54,1833,184,4,290519,,,,0.5714815651926024 +1,1833,188,5,260619,1.7628165219019658,0.5609177216785968,1.921456650029992,0.30797023445027705 +22,1833,196,5,120619,,0.6673197331778047,1.4947286683263783,0.4312669589179965 +23,1833,203,5,120619,,0.9622628579414804,, +53,1833,209,5,260619,,,,0.43594422466986416 +55,1833,324,7,290519,,,,0.1841394885191434 +24,1834,394,4,60319,,0.15265997306410206,, +51,1834,396,4,60319,,,,0.18087280950983955 +9,1834,397,4,110319,0.8818642584359653,0.2185020792279051,, +19,1834,401,4,150319,,0.236965378014828,, +6,1834,463,6,150319,1.8978919840712305,1.7727554459685466,2.8728085233117246,1.9372975452454095 +31,1839,570,0,200619,,0.3620421511529415,, +32,1839,571,0,200619,,0.2579152109879379,, +42,1839,577,1,120619,,,,0.2476807011780737 +43,1839,578,1,120619,,,,0.3418136015803448 +56,1839,624,6,60619,,,,0.23603488387585525 +30,1839,632,6,120619,,0.22673764035810076,, +40,1839,633,6,120619,,,0.5254559931665881,0.2395615579575665 +44,1839,641,6,120619,,,,0.642834949238944 +33,1839,644,6,200619,,0.9641188769972224,, +34,1839,646,6,200619,,0.3433136956920073,, +35,1839,649,6,200619,,1.4721720044421378,, +18,1849,730,1,220319,,0.2298347870446582,0.9889287578394717, +13,1849,759,2,150319,1.0096383685735637,1.4532760363099673,1.4223307369705571,0.6541261337217454 +4,1849,762,2,220319,1.5947623818634218,,,0.6385612932243578 +45,1849,772,2,280219,,,,0.21409343057678146 +11,1849,819,4,60319,1.3176651907324866,,,0.17311645481005833 +39,1849,834,4,220319,,,1.5388967069561597,0.2675720932747323 +20,1849,844,4,280219,,0.28696627721717505,, +46,1849,847,4,280219,,,,0.515744162835853 +47,1849,891,5,280219,,,,1.0853067407492265 +21,1849,919,7,280219,,0.2873656859909808,0.9311566881417496,0.5209056945467978 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.tex new file mode 100644 index 000000000..ebea76908 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_half_width.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 1.119505 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 1.116412 & 0.331423 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.356288 & 1.209430 & 0.279227 \\ +7 & 1833 & 40 & 0 & 290519 & 1.403814 & NaN & 1.842653 & 1.280896 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.296591 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.302089 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 1.146143 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 1.361397 & 0.728670 \\ +15 & 1833 & 112 & 2 & 200619 & 1.121815 & 0.915481 & 1.480894 & 1.091472 \\ +0 & 1833 & 113 & 2 & 260619 & 0.153045 & 1.705737 & 1.570610 & 0.566778 \\ +14 & 1833 & 120 & 3 & 20719 & 1.152643 & 0.542433 & 1.183718 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.186240 \\ +16 & 1833 & 146 & 3 & 200619 & 0.878622 & NaN & 1.121041 & 0.577075 \\ +8 & 1833 & 155 & 3 & 290519 & 1.098581 & NaN & 1.542738 & 0.383690 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.272895 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.275395 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.779595 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.571482 \\ +1 & 1833 & 188 & 5 & 260619 & 1.762817 & 0.560918 & 1.921457 & 0.307970 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.667320 & 1.494729 & 0.431267 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.962263 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.435944 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.184139 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.152660 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.180873 \\ +9 & 1834 & 397 & 4 & 110319 & 0.881864 & 0.218502 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.236965 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 1.897892 & 1.772755 & 2.872809 & 1.937298 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.362042 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.257915 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.247681 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.341814 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.236035 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.226738 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 0.525456 & 0.239562 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.642835 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.964119 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.343314 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 1.472172 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.229835 & 0.988929 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 1.009638 & 1.453276 & 1.422331 & 0.654126 \\ +4 & 1849 & 762 & 2 & 220319 & 1.594762 & NaN & NaN & 0.638561 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.214093 \\ +11 & 1849 & 819 & 4 & 60319 & 1.317665 & NaN & NaN & 0.173116 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 1.538897 & 0.267572 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.286966 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.515744 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 1.085307 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.287366 & 0.931157 & 0.520906 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.csv new file mode 100644 index 000000000..9b0c03126 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.14473307242833028 +41,1833,27,0,200619,,,0.5696859635339675,0.08980681876109764 +17,1833,34,0,260619,,0.1434457755282623,0.6243261618859172,0.05749905842754239 +7,1833,40,0,290519,0.7776450673972265,,0.7973027673309494,0.2988307237650805 +27,1833,42,0,290519,,0.05185280410370025,, +52,1833,84,1,260619,,,,0.04907577812228907 +28,1833,89,1,290519,,0.08306677649970166,, +37,1833,94,1,290519,,,0.519931266669007,0.1257430025778032 +15,1833,112,2,200619,0.649326127772793,0.11114313973597784,0.7339182741671936,0.14053563829668664 +0,1833,113,2,260619,0.047165751183477225,0.2676393326978319,0.6795953400501764,0.17943075322589755 +14,1833,120,3,20719,0.7401769406143917,0.055947159263128265,0.6142058915102767, +48,1833,137,3,20719,,,,0.04334785138178651 +16,1833,146,3,200619,0.4623578049615528,,0.588679826495214,0.02797644141309913 +8,1833,155,3,290519,0.6205773149890463,,0.5459806754485476,0.2136818705101777 +29,1833,160,3,290519,,0.026860699694052283,, +36,1833,163,4,10719,,0.04975957812150752,, +49,1833,167,4,20719,,,,0.10642204788560168 +54,1833,184,4,290519,,,,0.03181816984939971 +1,1833,188,5,260619,0.7985324647423561,0.18388928577930425,0.7991303813358082,0.05245574158615265 +22,1833,196,5,120619,,0.05507462750320375,0.7849657188775213,0.07753675320735054 +23,1833,203,5,120619,,0.08341181554810705,, +53,1833,209,5,260619,,,,0.04562570439667887 +55,1833,324,7,290519,,,,0.030355285697219087 +24,1834,394,4,60319,,0.02553104537598103,, +51,1834,396,4,60319,,,,0.018145342963052792 +9,1834,397,4,110319,0.1847774853480004,0.06359163890721893,, +19,1834,401,4,150319,,0.04616830825978276,, +6,1834,463,6,150319,0.8007758150268659,0.2407370381374168,0.8242628575490953,0.1684398685339365 +31,1839,570,0,200619,,0.053194562956953004,, +32,1839,571,0,200619,,0.032230119012403566,, +42,1839,577,1,120619,,,,0.040499852600438924 +43,1839,578,1,120619,,,,0.03340551422405208 +56,1839,624,6,60619,,,,0.05164313673156168 +30,1839,632,6,120619,,0.09220608354654686,, +40,1839,633,6,120619,,,0.13615498140899912,0.0322414916015088 +44,1839,641,6,120619,,,,0.2420732559577545 +33,1839,644,6,200619,,0.07967775156279401,, +34,1839,646,6,200619,,0.07882712705756251,, +35,1839,649,6,200619,,0.13171992543740452,, +18,1849,730,1,220319,,0.0744717735970949,0.640837983842118, +13,1849,759,2,150319,0.5465161897642433,0.2256271075842623,0.5353812394104247,0.042788399044048506 +4,1849,762,2,220319,0.7755893734147712,,,0.029958275233494355 +45,1849,772,2,280219,,,,0.04015144924876922 +11,1849,819,4,60319,0.7779130127157522,,,0.039436091129203786 +39,1849,834,4,220319,,,0.4704916457270447,0.05769116305758965 +20,1849,844,4,280219,,0.033842387032868355,, +46,1849,847,4,280219,,,,0.2506949114250534 +47,1849,891,5,280219,,,,0.10242121517563303 +21,1849,919,7,280219,,0.1303276885690306,0.5921488205929644,0.2761324869964132 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.tex new file mode 100644 index 000000000..347f0bd1d --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_peak.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.144733 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 0.569686 & 0.089807 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.143446 & 0.624326 & 0.057499 \\ +7 & 1833 & 40 & 0 & 290519 & 0.777645 & NaN & 0.797303 & 0.298831 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.051853 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.049076 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.083067 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 0.519931 & 0.125743 \\ +15 & 1833 & 112 & 2 & 200619 & 0.649326 & 0.111143 & 0.733918 & 0.140536 \\ +0 & 1833 & 113 & 2 & 260619 & 0.047166 & 0.267639 & 0.679595 & 0.179431 \\ +14 & 1833 & 120 & 3 & 20719 & 0.740177 & 0.055947 & 0.614206 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.043348 \\ +16 & 1833 & 146 & 3 & 200619 & 0.462358 & NaN & 0.588680 & 0.027976 \\ +8 & 1833 & 155 & 3 & 290519 & 0.620577 & NaN & 0.545981 & 0.213682 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.026861 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.049760 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.106422 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.031818 \\ +1 & 1833 & 188 & 5 & 260619 & 0.798532 & 0.183889 & 0.799130 & 0.052456 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.055075 & 0.784966 & 0.077537 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.083412 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.045626 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.030355 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.025531 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.018145 \\ +9 & 1834 & 397 & 4 & 110319 & 0.184777 & 0.063592 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.046168 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 0.800776 & 0.240737 & 0.824263 & 0.168440 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.053195 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.032230 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.040500 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.033406 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.051643 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.092206 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 0.136155 & 0.032241 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.242073 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.079678 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.078827 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.131720 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.074472 & 0.640838 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 0.546516 & 0.225627 & 0.535381 & 0.042788 \\ +4 & 1849 & 762 & 2 & 220319 & 0.775589 & NaN & NaN & 0.029958 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.040151 \\ +11 & 1849 & 819 & 4 & 60319 & 0.777913 & NaN & NaN & 0.039436 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 0.470492 & 0.057691 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.033842 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.250695 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.102421 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.130328 & 0.592149 & 0.276132 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.csv new file mode 100644 index 000000000..f232def21 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.csv @@ -0,0 +1,50 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +57,1833,19,0,60619,,,,0.010139925207068185 +41,1833,27,0,200619,,,0.2549217411106031,0.0037801362396363046 +17,1833,34,0,260619,,0.023694874910436533,0.22585714759445105,0.005539973680995471 +7,1833,40,0,290519,0.3487623492218105,,0.3909279173386799,0.004851903331101281 +27,1833,42,0,290519,,0.023637391236960112,, +52,1833,84,1,260619,,,,0.004677459250775639 +28,1833,89,1,290519,,0.01687298116468114,, +37,1833,94,1,290519,,,0.22220854618895933,0.008970183970651998 +15,1833,112,2,200619,0.3556005425409193,0.03191026545193962,0.4369079147200087,0.009160568997842835 +0,1833,113,2,260619,0.04137137241549203,0.02620013825708048,0.4429866269778994,0.0004429388114685746 +14,1833,120,3,20719,0.19745317676286409,0.017308835448567074,0.1732794255301182, +48,1833,137,3,20719,,,,0.0031747151630758825 +16,1833,146,3,200619,0.1661850022086083,,0.17770802145348003,0.0019259323516638762 +8,1833,155,3,290519,0.5075529916479583,,0.4028133417620477,0.00951359309285106 +29,1833,160,3,290519,,0.00712759757232673,, +36,1833,163,4,10719,,0.037730345073501696,, +49,1833,167,4,20719,,,,0.005274435434985446 +54,1833,184,4,290519,,,,0.014269321984546437 +1,1833,188,5,260619,0.4185088271462524,0.0371092517984328,0.4760913164376249,0.007367180005448356 +22,1833,196,5,120619,,0.014727284799057818,0.33761597648223124,0.014083378431438996 +23,1833,203,5,120619,,0.017511676397100148,, +53,1833,209,5,260619,,,,0.012045312315316477 +55,1833,324,7,290519,,,,0.0029533703191050933 +24,1834,394,4,60319,,0.01129551581444707,, +51,1834,396,4,60319,,,,0.006933519909197978 +9,1834,397,4,110319,0.04632210192809805,0.00462513993473738,, +19,1834,401,4,150319,,0.015793358722643317,, +6,1834,463,6,150319,0.4346966812055616,0.0028483803794844627,0.5233563058940406,0.0076212025752093095 +31,1839,570,0,200619,,0.013216425943017487,, +32,1839,571,0,200619,,0.010687653330786126,, +42,1839,577,1,120619,,,,0.08673994091759232 +43,1839,578,1,120619,,,,0.01456521463975662 +56,1839,624,6,60619,,,,0.017680760508906154 +30,1839,632,6,120619,,0.0046436617291012025,, +40,1839,633,6,120619,,,0.07357419786488499,0.008826495320271785 +44,1839,641,6,120619,,,,0.00558696490723745 +33,1839,644,6,200619,,0.015932506836763716,, +34,1839,646,6,200619,,0.0267165894429828,, +35,1839,649,6,200619,,0.04529389971884679,, +18,1849,730,1,220319,,0.016900231900127627,0.35178601678770394, +13,1849,759,2,150319,0.35152597513592143,0.017355391901397413,0.3389901002863077,0.006905871088438837 +4,1849,762,2,220319,0.40713910638013945,,,0.014611617782618672 +45,1849,772,2,280219,,,,0.00523509852270255 +11,1849,819,4,60319,0.4636756661207882,,,0.0047305612990558655 +39,1849,834,4,220319,,,0.3477720575686662,0.003379271811174169 +20,1849,844,4,280219,,0.10005614482753884,, +46,1849,847,4,280219,,,,0.02460907323245484 +47,1849,891,5,280219,,,,0.013497503158096691 +21,1849,919,7,280219,,0.04466490405936848,0.4806155291053039,0.007344425467530323 diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.tex new file mode 100644 index 000000000..5c887eafb --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_inhibited_theta_vec_len.tex @@ -0,0 +1,55 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +57 & 1833 & 19 & 0 & 60619 & NaN & NaN & NaN & 0.010140 \\ +41 & 1833 & 27 & 0 & 200619 & NaN & NaN & 0.254922 & 0.003780 \\ +17 & 1833 & 34 & 0 & 260619 & NaN & 0.023695 & 0.225857 & 0.005540 \\ +7 & 1833 & 40 & 0 & 290519 & 0.348762 & NaN & 0.390928 & 0.004852 \\ +27 & 1833 & 42 & 0 & 290519 & NaN & 0.023637 & NaN & NaN \\ +52 & 1833 & 84 & 1 & 260619 & NaN & NaN & NaN & 0.004677 \\ +28 & 1833 & 89 & 1 & 290519 & NaN & 0.016873 & NaN & NaN \\ +37 & 1833 & 94 & 1 & 290519 & NaN & NaN & 0.222209 & 0.008970 \\ +15 & 1833 & 112 & 2 & 200619 & 0.355601 & 0.031910 & 0.436908 & 0.009161 \\ +0 & 1833 & 113 & 2 & 260619 & 0.041371 & 0.026200 & 0.442987 & 0.000443 \\ +14 & 1833 & 120 & 3 & 20719 & 0.197453 & 0.017309 & 0.173279 & NaN \\ +48 & 1833 & 137 & 3 & 20719 & NaN & NaN & NaN & 0.003175 \\ +16 & 1833 & 146 & 3 & 200619 & 0.166185 & NaN & 0.177708 & 0.001926 \\ +8 & 1833 & 155 & 3 & 290519 & 0.507553 & NaN & 0.402813 & 0.009514 \\ +29 & 1833 & 160 & 3 & 290519 & NaN & 0.007128 & NaN & NaN \\ +36 & 1833 & 163 & 4 & 10719 & NaN & 0.037730 & NaN & NaN \\ +49 & 1833 & 167 & 4 & 20719 & NaN & NaN & NaN & 0.005274 \\ +54 & 1833 & 184 & 4 & 290519 & NaN & NaN & NaN & 0.014269 \\ +1 & 1833 & 188 & 5 & 260619 & 0.418509 & 0.037109 & 0.476091 & 0.007367 \\ +22 & 1833 & 196 & 5 & 120619 & NaN & 0.014727 & 0.337616 & 0.014083 \\ +23 & 1833 & 203 & 5 & 120619 & NaN & 0.017512 & NaN & NaN \\ +53 & 1833 & 209 & 5 & 260619 & NaN & NaN & NaN & 0.012045 \\ +55 & 1833 & 324 & 7 & 290519 & NaN & NaN & NaN & 0.002953 \\ +24 & 1834 & 394 & 4 & 60319 & NaN & 0.011296 & NaN & NaN \\ +51 & 1834 & 396 & 4 & 60319 & NaN & NaN & NaN & 0.006934 \\ +9 & 1834 & 397 & 4 & 110319 & 0.046322 & 0.004625 & NaN & NaN \\ +19 & 1834 & 401 & 4 & 150319 & NaN & 0.015793 & NaN & NaN \\ +6 & 1834 & 463 & 6 & 150319 & 0.434697 & 0.002848 & 0.523356 & 0.007621 \\ +31 & 1839 & 570 & 0 & 200619 & NaN & 0.013216 & NaN & NaN \\ +32 & 1839 & 571 & 0 & 200619 & NaN & 0.010688 & NaN & NaN \\ +42 & 1839 & 577 & 1 & 120619 & NaN & NaN & NaN & 0.086740 \\ +43 & 1839 & 578 & 1 & 120619 & NaN & NaN & NaN & 0.014565 \\ +56 & 1839 & 624 & 6 & 60619 & NaN & NaN & NaN & 0.017681 \\ +30 & 1839 & 632 & 6 & 120619 & NaN & 0.004644 & NaN & NaN \\ +40 & 1839 & 633 & 6 & 120619 & NaN & NaN & 0.073574 & 0.008826 \\ +44 & 1839 & 641 & 6 & 120619 & NaN & NaN & NaN & 0.005587 \\ +33 & 1839 & 644 & 6 & 200619 & NaN & 0.015933 & NaN & NaN \\ +34 & 1839 & 646 & 6 & 200619 & NaN & 0.026717 & NaN & NaN \\ +35 & 1839 & 649 & 6 & 200619 & NaN & 0.045294 & NaN & NaN \\ +18 & 1849 & 730 & 1 & 220319 & NaN & 0.016900 & 0.351786 & NaN \\ +13 & 1849 & 759 & 2 & 150319 & 0.351526 & 0.017355 & 0.338990 & 0.006906 \\ +4 & 1849 & 762 & 2 & 220319 & 0.407139 & NaN & NaN & 0.014612 \\ +45 & 1849 & 772 & 2 & 280219 & NaN & NaN & NaN & 0.005235 \\ +11 & 1849 & 819 & 4 & 60319 & 0.463676 & NaN & NaN & 0.004731 \\ +39 & 1849 & 834 & 4 & 220319 & NaN & NaN & 0.347772 & 0.003379 \\ +20 & 1849 & 844 & 4 & 280219 & NaN & 0.100056 & NaN & NaN \\ +46 & 1849 & 847 & 4 & 280219 & NaN & NaN & NaN & 0.024609 \\ +47 & 1849 & 891 & 5 & 280219 & NaN & NaN & NaN & 0.013498 \\ +21 & 1849 & 919 & 7 & 280219 & NaN & 0.044665 & 0.480616 & 0.007344 \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.csv new file mode 100644 index 000000000..950d956b7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,4.22625810529993,, +23,1833,11,0,20719,,4.0660917056733386,,5.0979530552377215 +40,1833,22,0,120619,,2.030024365088922,, +47,1833,25,0,200619,,5.770736884605435,,2.339018122957621 +0,1833,31,0,260619,,,,2.7394023823201508 +1,1833,33,0,260619,,5.323368244150494,,3.0756942184389 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,5.341808530384358 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,5.359914410651542,, +46,1833,52,1,20719,,4.161741266207328,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,1.4998419410260146,, +75,1833,71,1,60619,,,,5.351070315443248 +41,1833,73,1,120619,,1.3842813464058017,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,4.601586778580981,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,1.8300941421922936,, +39,1833,108,2,50619,,1.7322851338511525,, +42,1833,109,2,120619,,1.3798493314065343,, +25,1833,111,2,200619,,,,2.3084480055911305 +9,1833,141,3,50619,,1.5407146302179633,, +43,1833,143,3,120619,,1.7237169574998374,, +48,1833,147,3,200619,,0.2952349426077848,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,2.369570902676454 +73,1833,161,3,290519,,,,4.8247809885222175 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,5.988317561342928,, +50,1833,181,4,290519,,0.09374100137493292,, +51,1833,182,4,290519,,6.0913534387821935,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,1.7174535173350038,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,5.856233915527179,, +72,1833,229,6,20719,,,,1.150444868274321 +53,1833,318,7,290519,,6.087179297234597,, +54,1833,319,7,290519,,0.08176764877303748,, +55,1833,320,7,290519,,0.035513002636813104,, +56,1833,321,7,290519,,6.194187821013392,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,0.5141572429597475,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,1.1565633974190206,,1.8177377270375141 +34,1839,573,0,290519,,0.9306754057893768,, +74,1839,625,6,60619,,,,4.9454157351600125 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,1.4471557513375963,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,2.27314394258717,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,4.957322993713067,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,0.7107906399018933,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.tex new file mode 100644 index 000000000..a8a7f5cee --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_ang.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 4.226258 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 4.066092 & NaN & 5.097953 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 2.030024 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 5.770737 & NaN & 2.339018 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 2.739402 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 5.323368 & NaN & 3.075694 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 5.341809 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 5.359914 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 4.161741 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 1.499842 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 5.351070 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 1.384281 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 4.601587 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 1.830094 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 1.732285 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 1.379849 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 2.308448 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 1.540715 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 1.723717 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.295235 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 2.369571 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 4.824781 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 5.988318 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.093741 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 6.091353 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 1.717454 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 5.856234 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 1.150445 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 6.087179 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.081768 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.035513 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 6.194188 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.514157 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 1.156563 & NaN & 1.817738 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.930675 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 4.945416 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 1.447156 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 2.273144 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 4.957323 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.710791 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.csv new file mode 100644 index 000000000..903e62604 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,0.23634874117173146,, +23,1833,11,0,20719,,0.18409646574612315,,0.0662940672990424 +40,1833,22,0,120619,,0.03726379487583846,, +47,1833,25,0,200619,,0.2142114583069382,,0.024390122734696318 +0,1833,31,0,260619,,,,0.09003495589743027 +1,1833,33,0,260619,,0.2442237459013934,,0.07011775509018639 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,0.07339895079744484 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,0.2453197247802807,, +46,1833,52,1,20719,,0.19237893237840228,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,0.2829809764471212,, +75,1833,71,1,60619,,,,0.15224433946125282 +41,1833,73,1,120619,,0.1856941131574048,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,0.2272941142437657,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,0.017603265269803332,, +39,1833,108,2,50619,,0.033005247598483604,, +42,1833,109,2,120619,,0.26183719528270794,, +25,1833,111,2,200619,,,,0.03057372196811216 +9,1833,141,3,50619,,0.2810365140864559,, +43,1833,143,3,120619,,0.01358292573320909,, +48,1833,147,3,200619,,0.08113771141000364,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,0.013014151556892395 +73,1833,161,3,290519,,,,0.015055088738434657 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,0.24965664480478245,, +50,1833,181,4,290519,,0.2633081252396671,, +51,1833,182,4,290519,,0.051460562118599854,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,0.22348270923108451,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,0.08347901107564834,, +72,1833,229,6,20719,,,,0.01761425955740929 +53,1833,318,7,290519,,0.028213423646883062,, +54,1833,319,7,290519,,0.034780333594983934,, +55,1833,320,7,290519,,0.048070226552780114,, +56,1833,321,7,290519,,0.2417271638424546,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,0.0691443349379627,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,0.12932915763773722,,0.27014726397790084 +34,1839,573,0,290519,,0.0406989504092318,, +74,1839,625,6,60619,,,,0.2436605483327905 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,0.058200163145285866,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,0.2134356394007947,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,0.18851052382804886,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,0.06694609904629698,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.tex new file mode 100644 index 000000000..8e202caa2 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_energy.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 0.236349 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 0.184096 & NaN & 0.066294 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.037264 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.214211 & NaN & 0.024390 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.090035 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 0.244224 & NaN & 0.070118 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 0.073399 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 0.245320 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.192379 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.282981 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.152244 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.185694 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 0.227294 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.017603 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.033005 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.261837 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 0.030574 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 0.281037 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.013583 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.081138 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 0.013014 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.015055 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.249657 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.263308 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.051461 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.223483 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.083479 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.017614 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.028213 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.034780 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.048070 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.241727 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.069144 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.129329 & NaN & 0.270147 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.040699 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.243661 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.058200 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.213436 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.188511 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.066946 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.csv new file mode 100644 index 000000000..dfbc79c5e --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,0.3536481475977329,, +23,1833,11,0,20719,,0.3020503814380451,,0.2839557762723466 +40,1833,22,0,120619,,0.19201313507953974,, +47,1833,25,0,200619,,0.2962488526502227,,0.19404214556128 +0,1833,31,0,260619,,,,0.24592398887078204 +1,1833,33,0,260619,,0.34054676584720056,,0.2451002770762223 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,0.2637354879263576 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,0.3252842844694914,, +46,1833,52,1,20719,,0.29197671296667593,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,0.34392771490336216,, +75,1833,71,1,60619,,,,0.2908810703397826 +41,1833,73,1,120619,,0.3108877996132051,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,0.3220842371722874,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,0.19360817852192014,, +39,1833,108,2,50619,,0.2511358536876376,, +42,1833,109,2,120619,,0.3316107107897785,, +25,1833,111,2,200619,,,,0.34176145739385433 +9,1833,141,3,50619,,0.3481565549913768,, +43,1833,143,3,120619,,0.14654144262926572,, +48,1833,147,3,200619,,0.20515862362973006,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,0.3199263404231978 +73,1833,161,3,290519,,,,0.25018171161526936 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,0.3335084213535424,, +50,1833,181,4,290519,,0.3382113235276272,, +51,1833,182,4,290519,,0.19739470889501654,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,0.29794979081730943,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,0.2371963790631977,, +72,1833,229,6,20719,,,,2.4382688462651347 +53,1833,318,7,290519,,0.15930778841276627,, +54,1833,319,7,290519,,0.16487346678502313,, +55,1833,320,7,290519,,0.1822432784674728,, +56,1833,321,7,290519,,0.3232621686926951,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,0.2251278672416408,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,0.2494914521830029,,0.3306419881822862 +34,1839,573,0,290519,,0.17189391780649288,, +74,1839,625,6,60619,,,,0.3557702180529638 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,0.21479543714412408,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,0.2811334197506543,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,0.2678283473514771,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,0.224051871216437,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.tex new file mode 100644 index 000000000..874e304ed --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_half_width.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 0.353648 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 0.302050 & NaN & 0.283956 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.192013 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.296249 & NaN & 0.194042 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.245924 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 0.340547 & NaN & 0.245100 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 0.263735 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 0.325284 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.291977 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.343928 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.290881 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.310888 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 0.322084 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.193608 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.251136 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.331611 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 0.341761 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 0.348157 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.146541 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.205159 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 0.319926 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.250182 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.333508 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.338211 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.197395 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.297950 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.237196 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 2.438269 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.159308 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.164873 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.182243 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.323262 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.225128 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.249491 & NaN & 0.330642 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.171894 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.355770 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.214795 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.281133 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.267828 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.224052 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.csv new file mode 100644 index 000000000..79cd7a483 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,0.8007219631076867,, +23,1833,11,0,20719,,0.6683642105111819,,0.3091807388575601 +40,1833,22,0,120619,,0.30167328565941165,, +47,1833,25,0,200619,,0.7756817837400796,,0.17144620973577496 +0,1833,31,0,260619,,,,0.39256929928862383 +1,1833,33,0,260619,,0.8169063095649443,,0.3147315280436673 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,0.3317403188548085 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,0.8101749879141658,, +46,1833,52,1,20719,,0.7160845150942621,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,0.8888219861992276,, +75,1833,71,1,60619,,,,0.6419992627666049 +41,1833,73,1,120619,,0.6477122239867317,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,0.7703715960690973,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,0.14210808125847788,, +39,1833,108,2,50619,,0.16325433189291946,, +42,1833,109,2,120619,,0.8568643949940996,, +25,1833,111,2,200619,,,,0.10771473774436896 +9,1833,141,3,50619,,0.8830174003348501,, +43,1833,143,3,120619,,0.10960894929394056,, +48,1833,147,3,200619,,0.6576702484657578,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,0.0628832160200621 +73,1833,161,3,290519,,,,0.069550599937961 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,0.8281385545776025,, +50,1833,181,4,290519,,0.8582962977940211,, +51,1833,182,4,290519,,0.4165377505512709,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,0.8023762686501694,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,0.4427024070202518,, +72,1833,229,6,20719,,,,0.0013382874802486595 +53,1833,318,7,290519,,0.22782003015355354,, +54,1833,319,7,290519,,0.2811702117838051,, +55,1833,320,7,290519,,0.38888797173754025,, +56,1833,321,7,290519,,0.8167550078203221,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,0.560908394527661,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,0.6915128678063784,,0.8554870792362331 +34,1839,573,0,290519,,0.3289218843358509,, +74,1839,625,6,60619,,,,0.788673853478678 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,0.4719776197887064,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,0.8018912408121204,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,0.7307141564990237,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,0.5423416930104596,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.tex new file mode 100644 index 000000000..57f8f3406 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_p_max.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 0.800722 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 0.668364 & NaN & 0.309181 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.301673 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.775682 & NaN & 0.171446 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.392569 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 0.816906 & NaN & 0.314732 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 0.331740 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 0.810175 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.716085 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.888822 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.641999 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.647712 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 0.770372 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.142108 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.163254 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.856864 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 0.107715 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 0.883017 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.109609 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.657670 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 0.062883 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.069551 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.828139 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.858296 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.416538 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.802376 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.442702 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.001338 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.227820 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.281170 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.388888 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.816755 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.560908 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.691513 & NaN & 0.855487 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.328922 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.788674 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.471978 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.801891 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.730714 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.542342 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.csv new file mode 100644 index 000000000..86e274996 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,1.9043329362034955,, +23,1833,11,0,20719,,3.76518780244715,,1.089387362316778 +40,1833,22,0,120619,,4.4621895882884735,, +47,1833,25,0,200619,,3.5199862214903126,,0.9380815232507056 +0,1833,31,0,260619,,,,10.455914011923271 +1,1833,33,0,260619,,2.436233971081695,,1.2141346335334706 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,1.0269043171933188 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,4.077668203424013,, +46,1833,52,1,20719,,6.086083265056042,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,6.379792562441264,, +75,1833,71,1,60619,,,,2.6640729041227353 +41,1833,73,1,120619,,4.770118465050083,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,2.611847025278431,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,2.908695182967181,, +39,1833,108,2,50619,,2.8020387760743017,, +42,1833,109,2,120619,,2.4389655466974163,, +25,1833,111,2,200619,,,,1.0557256092479683 +9,1833,141,3,50619,,2.6717093753288466,, +43,1833,143,3,120619,,2.3697341895510915,, +48,1833,147,3,200619,,8.286271600302406,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,1.9351964177523404 +73,1833,161,3,290519,,,,2.7230336855123567 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,3.0757696102679164,, +50,1833,181,4,290519,,2.977712126411706,, +51,1833,182,4,290519,,14.764418020718615,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,8.589719411469407,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,6.996551476159806,, +72,1833,229,6,20719,,,,0.04475339071768061 +53,1833,318,7,290519,,5.900560559750203,, +54,1833,319,7,290519,,9.315144203545426,, +55,1833,320,7,290519,,8.548918131941928,, +56,1833,321,7,290519,,6.290856551373404,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,3.863053139339606,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,5.3887239769159345,,23.634512560275432 +34,1839,573,0,290519,,13.122739981583933,, +74,1839,625,6,60619,,,,26.442440620446725 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,7.529222544934049,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,7.41204705293739,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,4.569970710538399,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,3.332901594682722,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.tex new file mode 100644 index 000000000..8d63d5ac7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_strength.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 1.904333 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 3.765188 & NaN & 1.089387 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 4.462190 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 3.519986 & NaN & 0.938082 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 10.455914 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 2.436234 & NaN & 1.214135 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 1.026904 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 4.077668 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 6.086083 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 6.379793 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 2.664073 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 4.770118 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 2.611847 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 2.908695 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 2.802039 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 2.438966 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 1.055726 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 2.671709 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 2.369734 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 8.286272 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 1.935196 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 2.723034 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 3.075770 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 2.977712 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 14.764418 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 8.589719 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 6.996551 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.044753 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 5.900561 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 9.315144 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 8.548918 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 6.290857 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 3.863053 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 5.388724 & NaN & 23.634513 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 13.122740 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 26.442441 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 7.529223 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 7.412047 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 4.569971 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 3.332902 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.csv new file mode 100644 index 000000000..f946ce36f --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,,0.3229921756440968,, +23,1833,11,0,20719,,0.2161683697958303,,0.13105842698586573 +40,1833,22,0,120619,,0.19709023989864216,, +47,1833,25,0,200619,,0.31543557479174456,,0.0979852996807427 +0,1833,31,0,260619,,,,0.24167498352656555 +1,1833,33,0,260619,,0.3458425028096661,,0.08653790060136335 +68,1833,37,0,260619,,,, +11,1833,38,0,290519,,,, +12,1833,39,0,290519,,,,0.1602620168803104 +64,1833,43,0,290519,,,, +2,1833,44,1,260619,,0.3153104834884462,, +46,1833,52,1,20719,,0.2360468726001579,, +8,1833,64,1,50619,,,, +37,1833,65,1,50619,,0.3474948653918041,, +75,1833,71,1,60619,,,,0.23306894916408924 +41,1833,73,1,120619,,0.25124438584628833,, +3,1833,77,1,260619,,,, +69,1833,81,1,260619,,,, +13,1833,88,1,290519,,,, +6,1833,97,2,10719,,0.3251620906189801,, +24,1833,99,2,20719,,,, +38,1833,107,2,50619,,0.4448305590655474,, +39,1833,108,2,50619,,0.2936785685449693,, +42,1833,109,2,120619,,0.31101998804440323,, +25,1833,111,2,200619,,,,0.06638989516067774 +9,1833,141,3,50619,,0.3810124909250185,, +43,1833,143,3,120619,,0.1221412846745462,, +48,1833,147,3,200619,,0.26055432272345325,, +70,1833,151,3,260619,,,, +14,1833,154,3,290519,,,, +15,1833,157,3,290519,,,,0.03590080242985997 +73,1833,161,3,290519,,,,0.2382884519624577 +66,1833,164,4,20719,,,, +49,1833,180,4,290519,,0.3357372541460205,, +50,1833,181,4,290519,,0.3141532415298511,, +51,1833,182,4,290519,,0.4165263745574078,, +67,1833,194,5,20719,,,, +18,1833,200,5,120619,,,, +44,1833,201,5,120619,,0.40535123296849024,, +71,1833,207,5,260619,,,, +16,1833,211,5,290519,,,, +52,1833,215,5,290519,,0.2738112485523869,, +72,1833,229,6,20719,,,,0.04757968168755438 +53,1833,318,7,290519,,0.30142236901143354,, +54,1833,319,7,290519,,0.4518939991656565,, +55,1833,320,7,290519,,0.4002342400941747,, +56,1833,321,7,290519,,0.3574356000864369,, +65,1834,395,4,60319,,,, +31,1834,403,4,220319,,0.15448063011742982,, +21,1834,452,6,60319,,,, +32,1834,497,7,220319,,0.1809872505291004,,0.4460987099398856 +34,1839,573,0,290519,,0.06704905864545271,, +74,1839,625,6,60619,,,,0.5489245994183476 +10,1839,628,6,120619,,,, +17,1839,642,6,200619,,,, +58,1849,704,1,60319,,,, +59,1849,753,2,60319,,,, +26,1849,765,2,280219,,,, +27,1849,809,3,280219,,,, +45,1849,821,4,60319,,0.4700550701099914,, +60,1849,823,4,60319,,,, +22,1849,830,4,150319,,,, +35,1849,831,4,150319,,0.27571017339859344,, +7,1849,836,4,220319,,,, +33,1849,841,4,220319,,0.19437845545094384,, +28,1849,842,4,280219,,,, +62,1849,846,4,280219,,,, +63,1849,890,5,280219,,,, +19,1849,893,6,10319,,,, +20,1849,899,6,60319,,,, +29,1849,907,6,280219,,,, +30,1849,908,6,280219,,,, +36,1849,911,6,280219,,0.3577377479595025,, +61,1849,927,7,60319,,,, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.tex new file mode 100644 index 000000000..1c47991b7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_stim_vec_len.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & NaN & 0.322992 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & NaN & 0.216168 & NaN & 0.131058 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.197090 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.315436 & NaN & 0.097985 \\ +0 & 1833 & 31 & 0 & 260619 & NaN & NaN & NaN & 0.241675 \\ +1 & 1833 & 33 & 0 & 260619 & NaN & 0.345843 & NaN & 0.086538 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & NaN & NaN \\ +11 & 1833 & 38 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & NaN & NaN & NaN & 0.160262 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & NaN & NaN \\ +2 & 1833 & 44 & 1 & 260619 & NaN & 0.315310 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.236047 & NaN & NaN \\ +8 & 1833 & 64 & 1 & 50619 & NaN & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.347495 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.233069 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.251244 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & NaN & NaN \\ +13 & 1833 & 88 & 1 & 290519 & NaN & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & NaN & 0.325162 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & NaN & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.444831 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.293679 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.311020 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & NaN & NaN & NaN & 0.066390 \\ +9 & 1833 & 141 & 3 & 50619 & NaN & 0.381012 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.122141 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.260554 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & NaN & NaN \\ +14 & 1833 & 154 & 3 & 290519 & NaN & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & NaN & NaN & NaN & 0.035901 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.238288 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & NaN & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.335737 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.314153 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.416526 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & NaN & NaN \\ +18 & 1833 & 200 & 5 & 120619 & NaN & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.405351 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & NaN & NaN \\ +16 & 1833 & 211 & 5 & 290519 & NaN & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.273811 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.047580 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.301422 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.451894 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.400234 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.357436 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.154481 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.180987 & NaN & 0.446099 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.067049 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.548925 \\ +10 & 1839 & 628 & 6 & 120619 & NaN & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & NaN & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & NaN & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & NaN & NaN \\ +26 & 1849 & 765 & 2 & 280219 & NaN & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & NaN & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.470055 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & NaN & NaN \\ +22 & 1849 & 830 & 4 & 150319 & NaN & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.275710 & NaN & NaN \\ +7 & 1849 & 836 & 4 & 220319 & NaN & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.194378 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & NaN & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & NaN & NaN \\ +19 & 1849 & 893 & 6 & 10319 & NaN & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & NaN & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & NaN & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.357738 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & NaN & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.csv new file mode 100644 index 000000000..90517e101 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,3.659148217974449,3.612837809767296,, +23,1833,11,0,20719,3.6201432477692745,3.81476255548772,3.6005968653784355,5.398271176094568 +40,1833,22,0,120619,,2.796824753365196,, +47,1833,25,0,200619,,5.539954049725138,3.681332887601374,2.8211577788542614 +0,1833,31,0,260619,3.814772336708868,,3.7710026515655084,4.362881797699846 +1,1833,33,0,260619,3.7663726401425266,4.91204105067411,3.67010138752782,5.572907458051941 +68,1833,37,0,260619,,,3.345624354073476, +11,1833,38,0,290519,3.751057511287855,,, +12,1833,39,0,290519,3.5889627888804685,,3.585513494306592,4.558777946493027 +64,1833,43,0,290519,,,3.7331098815144914, +2,1833,44,1,260619,3.943683235560463,5.056810500199963,, +46,1833,52,1,20719,,3.7780909501866984,3.576468571381707, +8,1833,64,1,50619,3.78220933737498,,, +37,1833,65,1,50619,,1.1873168200231998,, +75,1833,71,1,60619,,,,2.9541308405296536 +41,1833,73,1,120619,,1.091511025940654,, +3,1833,77,1,260619,3.6756580276070334,,, +69,1833,81,1,260619,,,3.808521183370088, +13,1833,88,1,290519,3.65384653439375,,, +6,1833,97,2,10719,3.7498187766555953,4.586708668652116,, +24,1833,99,2,20719,3.7344845768021333,,, +38,1833,107,2,50619,,1.1061006372661228,, +39,1833,108,2,50619,,1.266285857722472,, +42,1833,109,2,120619,,1.148965995189035,, +25,1833,111,2,200619,3.814108461645545,,,5.61458798618911 +9,1833,141,3,50619,3.8502068446466864,1.278034206562454,, +43,1833,143,3,120619,,1.7910046752864743,, +48,1833,147,3,200619,,0.16723890291812393,, +70,1833,151,3,260619,,,3.4506755503871807, +14,1833,154,3,290519,3.6619678277490193,,, +15,1833,157,3,290519,3.435759259594537,,3.9346507475620753,4.554969520355966 +73,1833,161,3,290519,,,,1.3600311752682557 +66,1833,164,4,20719,,,3.5375702834018554, +49,1833,180,4,290519,,5.9782067957040175,, +50,1833,181,4,290519,,0.06301353222629509,, +51,1833,182,4,290519,,5.737044133505871,, +67,1833,194,5,20719,,,3.818784371882073, +18,1833,200,5,120619,3.662935930208958,,, +44,1833,201,5,120619,,0.5206759596498313,, +71,1833,207,5,260619,,,3.905449542757325, +16,1833,211,5,290519,3.427911344168417,,, +52,1833,215,5,290519,,5.1048070195209565,, +72,1833,229,6,20719,,,,1.6312024561377494 +53,1833,318,7,290519,,4.11263194110588,, +54,1833,319,7,290519,,5.809851965140789,, +55,1833,320,7,290519,,5.543375526838472,, +56,1833,321,7,290519,,5.899989979159876,, +65,1834,395,4,60319,,,1.6966396386363245, +31,1834,403,4,220319,,1.27183534324048,, +21,1834,452,6,60319,1.2043474467063986,,, +32,1834,497,7,220319,,1.3501389005819877,3.1457054496126085,0.4232349085666604 +34,1839,573,0,290519,,0.10678339475927537,, +74,1839,625,6,60619,,,,1.4933774488830216 +10,1839,628,6,120619,3.614314794771524,,, +17,1839,642,6,200619,3.766393991182083,,, +58,1849,704,1,60319,,,4.199176026983027, +59,1849,753,2,60319,,,3.0560862797460766, +26,1849,765,2,280219,6.135112688398397,,, +27,1849,809,3,280219,3.458676304375352,,, +45,1849,821,4,60319,,1.0258349278669223,, +60,1849,823,4,60319,,,3.777113169453412, +22,1849,830,4,150319,3.859543032179618,,, +35,1849,831,4,150319,,2.4565919291213043,3.799550775846521, +7,1849,836,4,220319,3.614308815211487,,, +33,1849,841,4,220319,,5.32824369424709,, +28,1849,842,4,280219,3.8423547554881057,,, +62,1849,846,4,280219,,,3.306625961496348, +63,1849,890,5,280219,,,3.3726958355548, +19,1849,893,6,10319,2.782957561332684,,, +20,1849,899,6,60319,3.8890230955005647,,, +29,1849,907,6,280219,4.381998353858922,,, +30,1849,908,6,280219,2.7163143888946597,,, +36,1849,911,6,280219,,0.6622064283546546,, +61,1849,927,7,60319,,,3.8866094145753367, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.tex new file mode 100644 index 000000000..100efc1e4 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_ang.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 3.659148 & 3.612838 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 3.620143 & 3.814763 & 3.600597 & 5.398271 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 2.796825 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 5.539954 & 3.681333 & 2.821158 \\ +0 & 1833 & 31 & 0 & 260619 & 3.814772 & NaN & 3.771003 & 4.362882 \\ +1 & 1833 & 33 & 0 & 260619 & 3.766373 & 4.912041 & 3.670101 & 5.572907 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 3.345624 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 3.751058 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 3.588963 & NaN & 3.585513 & 4.558778 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 3.733110 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 3.943683 & 5.056811 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 3.778091 & 3.576469 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 3.782209 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 1.187317 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 2.954131 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 1.091511 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 3.675658 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 3.808521 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 3.653847 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 3.749819 & 4.586709 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 3.734485 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 1.106101 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 1.266286 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 1.148966 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 3.814108 & NaN & NaN & 5.614588 \\ +9 & 1833 & 141 & 3 & 50619 & 3.850207 & 1.278034 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 1.791005 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.167239 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 3.450676 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 3.661968 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 3.435759 & NaN & 3.934651 & 4.554970 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 1.360031 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 3.537570 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 5.978207 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.063014 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 5.737044 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 3.818784 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 3.662936 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.520676 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 3.905450 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 3.427911 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 5.104807 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 1.631202 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 4.112632 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 5.809852 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 5.543376 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 5.899990 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 1.696640 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 1.271835 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 1.204347 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 1.350139 & 3.145705 & 0.423235 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.106783 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 1.493377 \\ +10 & 1839 & 628 & 6 & 120619 & 3.614315 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 3.766394 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 4.199176 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 3.056086 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 6.135113 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 3.458676 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 1.025835 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 3.777113 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 3.859543 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 2.456592 & 3.799551 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 3.614309 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 5.328244 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 3.842355 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 3.306626 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 3.372696 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 2.782958 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 3.889023 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 4.381998 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 2.716314 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.662206 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 3.886609 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.csv new file mode 100644 index 000000000..db93094a1 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,2.0767562974076923,0.9218214528434114,, +23,1833,11,0,20719,2.0001323632490027,0.36352329314817294,1.6590591457112187,0.4899773595859954 +40,1833,22,0,120619,,0.05577868063711248,, +47,1833,25,0,200619,,0.30434481081338355,1.8415135830001803,0.3253640236634566 +0,1833,31,0,260619,0.15146306956258745,,0.1735681372025262,0.04040007286759605 +1,1833,33,0,260619,1.6720637678896841,0.8230410157721905,2.1383865600728806,0.4121417629532349 +68,1833,37,0,260619,,,0.03687811986907492, +11,1833,38,0,290519,0.053895519788319496,,, +12,1833,39,0,290519,1.1904484500366224,,1.7113384243780712,0.4441457314763483 +64,1833,43,0,290519,,,0.3573360709249255, +2,1833,44,1,260619,0.991187283424769,0.3559683049555955,, +46,1833,52,1,20719,,0.1556211502170724,0.6260305103978842, +8,1833,64,1,50619,0.8924463804106844,,, +37,1833,65,1,50619,,0.2861460865342701,, +75,1833,71,1,60619,,,,0.3349472667609609 +41,1833,73,1,120619,,0.16333753567599912,, +3,1833,77,1,260619,1.163010105876544,,, +69,1833,81,1,260619,,,0.9594453120026007, +13,1833,88,1,290519,0.4919080543735482,,, +6,1833,97,2,10719,1.6491453333366892,0.7446342632161997,, +24,1833,99,2,20719,1.474229720648926,,, +38,1833,107,2,50619,,0.046634398416099516,, +39,1833,108,2,50619,,0.043098121644884115,, +42,1833,109,2,120619,,0.621212910631788,, +25,1833,111,2,200619,0.7205323158332845,,,0.13576182701010495 +9,1833,141,3,50619,1.5929000440458367,0.6787772795786056,, +43,1833,143,3,120619,,0.07127120629118075,, +48,1833,147,3,200619,,0.08454011251387579,, +70,1833,151,3,260619,,,1.1657816553679474, +14,1833,154,3,290519,0.24448108406127356,,, +15,1833,157,3,290519,0.1226485328795443,,0.0878120480480884,0.03324731107695311 +73,1833,161,3,290519,,,,0.025286142756020216 +66,1833,164,4,20719,,,0.3243781649190457, +49,1833,180,4,290519,,0.5649738503394081,, +50,1833,181,4,290519,,0.5801132463498366,, +51,1833,182,4,290519,,0.04078037424909424,, +67,1833,194,5,20719,,,1.2972410197878776, +18,1833,200,5,120619,0.8722495439078309,,, +44,1833,201,5,120619,,0.1369674722621836,, +71,1833,207,5,260619,,,0.7464308193522351, +16,1833,211,5,290519,0.7382860567347113,,, +52,1833,215,5,290519,,0.12726246108612208,, +72,1833,229,6,20719,,,,0.026025728429736876 +53,1833,318,7,290519,,0.0414566676351927,, +54,1833,319,7,290519,,0.03665421394130395,, +55,1833,320,7,290519,,0.06776048346656606,, +56,1833,321,7,290519,,0.2487711129898604,, +65,1834,395,4,60319,,,0.118353651450843, +31,1834,403,4,220319,,0.2323635810335327,, +21,1834,452,6,60319,0.15127275963929745,,, +32,1834,497,7,220319,,0.19866327415098384,1.2574605975146782,0.05620609452728071 +34,1839,573,0,290519,,0.030449726570615957,, +74,1839,625,6,60619,,,,0.04499776646327222 +10,1839,628,6,120619,0.14280927106376726,,, +17,1839,642,6,200619,0.8802101530604343,,, +58,1849,704,1,60319,,,0.1369220811983783, +59,1849,753,2,60319,,,1.520363396871074, +26,1849,765,2,280219,0.02749343421912364,,, +27,1849,809,3,280219,0.020526977011844454,,, +45,1849,821,4,60319,,0.05397612720369288,, +60,1849,823,4,60319,,,0.5378903716402514, +22,1849,830,4,150319,0.6532463709560861,,, +35,1849,831,4,150319,,0.15950957473181426,1.0105076453799058, +7,1849,836,4,220319,0.8011427817872594,,, +33,1849,841,4,220319,,0.2535314143201138,, +28,1849,842,4,280219,0.030110563294297194,,, +62,1849,846,4,280219,,,0.17694259521829045, +63,1849,890,5,280219,,,1.4097094632311318, +19,1849,893,6,10319,0.9524405682690614,,, +20,1849,899,6,60319,1.5026057453439978,,, +29,1849,907,6,280219,0.025392297911543054,,, +30,1849,908,6,280219,0.02355723652093853,,, +36,1849,911,6,280219,,0.236467736209534,, +61,1849,927,7,60319,,,0.1327814338376739, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.tex new file mode 100644 index 000000000..bc289b8c0 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_energy.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 2.076756 & 0.921821 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 2.000132 & 0.363523 & 1.659059 & 0.489977 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.055779 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.304345 & 1.841514 & 0.325364 \\ +0 & 1833 & 31 & 0 & 260619 & 0.151463 & NaN & 0.173568 & 0.040400 \\ +1 & 1833 & 33 & 0 & 260619 & 1.672064 & 0.823041 & 2.138387 & 0.412142 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.036878 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 0.053896 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 1.190448 & NaN & 1.711338 & 0.444146 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 0.357336 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 0.991187 & 0.355968 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.155621 & 0.626031 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 0.892446 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.286146 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.334947 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.163338 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 1.163010 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 0.959445 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 0.491908 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 1.649145 & 0.744634 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 1.474230 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.046634 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.043098 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.621213 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 0.720532 & NaN & NaN & 0.135762 \\ +9 & 1833 & 141 & 3 & 50619 & 1.592900 & 0.678777 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.071271 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.084540 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 1.165782 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 0.244481 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 0.122649 & NaN & 0.087812 & 0.033247 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.025286 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 0.324378 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.564974 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.580113 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.040780 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 1.297241 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 0.872250 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.136967 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 0.746431 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 0.738286 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.127262 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.026026 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.041457 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.036654 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.067760 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.248771 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 0.118354 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.232364 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 0.151273 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.198663 & 1.257461 & 0.056206 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.030450 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.044998 \\ +10 & 1839 & 628 & 6 & 120619 & 0.142809 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 0.880210 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 0.136922 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 1.520363 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 0.027493 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 0.020527 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.053976 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 0.537890 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 0.653246 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.159510 & 1.010508 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 0.801143 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.253531 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 0.030111 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 0.176943 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 1.409709 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 0.952441 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 1.502606 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 0.025392 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 0.023557 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.236468 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 0.132781 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.csv new file mode 100644 index 000000000..8bd960f9a --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,7.4462890625,8.056640625,, +23,1833,11,0,20719,7.8125,8.544921875,7.8125,7.9345703125 +40,1833,22,0,120619,,9.27734375,, +47,1833,25,0,200619,,8.30078125,7.6904296875,8.30078125 +0,1833,31,0,260619,7.32421875,,7.8125,9.27734375 +1,1833,33,0,260619,7.4462890625,8.6669921875,7.6904296875,8.544921875 +68,1833,37,0,260619,,,7.8125, +11,1833,38,0,290519,7.080078125,,, +12,1833,39,0,290519,7.568359375,,7.568359375,8.30078125 +64,1833,43,0,290519,,,7.568359375, +2,1833,44,1,260619,7.4462890625,8.056640625,, +46,1833,52,1,20719,,9.27734375,7.8125, +8,1833,64,1,50619,7.4462890625,,, +37,1833,65,1,50619,,7.2021484375,, +75,1833,71,1,60619,,,,7.9345703125 +41,1833,73,1,120619,,8.4228515625,, +3,1833,77,1,260619,7.568359375,,, +69,1833,81,1,260619,,,7.8125, +13,1833,88,1,290519,7.568359375,,, +6,1833,97,2,10719,7.2021484375,8.056640625,, +24,1833,99,2,20719,7.8125,,, +38,1833,107,2,50619,,6.591796875,, +39,1833,108,2,50619,,8.1787109375,, +42,1833,109,2,120619,,7.9345703125,, +25,1833,111,2,200619,7.6904296875,,,8.4228515625 +9,1833,141,3,50619,7.4462890625,7.568359375,, +43,1833,143,3,120619,,9.521484375,, +48,1833,147,3,200619,,6.8359375,, +70,1833,151,3,260619,,,7.9345703125, +14,1833,154,3,290519,7.568359375,,, +15,1833,157,3,290519,7.32421875,,7.080078125,8.30078125 +73,1833,161,3,290519,,,,8.30078125 +66,1833,164,4,20719,,,7.8125, +49,1833,180,4,290519,,8.1787109375,, +50,1833,181,4,290519,,8.544921875,, +51,1833,182,4,290519,,8.30078125,, +67,1833,194,5,20719,,,7.6904296875, +18,1833,200,5,120619,7.6904296875,,, +44,1833,201,5,120619,,7.9345703125,, +71,1833,207,5,260619,,,7.9345703125, +16,1833,211,5,290519,7.568359375,,, +52,1833,215,5,290519,,8.056640625,, +72,1833,229,6,20719,,,,6.34765625 +53,1833,318,7,290519,,9.3994140625,, +54,1833,319,7,290519,,9.1552734375,, +55,1833,320,7,290519,,9.1552734375,, +56,1833,321,7,290519,,9.3994140625,, +65,1834,395,4,60319,,,8.7890625, +31,1834,403,4,220319,,7.4462890625,, +21,1834,452,6,60319,7.9345703125,,, +32,1834,497,7,220319,,6.591796875,8.056640625,9.033203125 +34,1839,573,0,290519,,9.1552734375,, +74,1839,625,6,60619,,,,8.30078125 +10,1839,628,6,120619,8.056640625,,, +17,1839,642,6,200619,8.1787109375,,, +58,1849,704,1,60319,,,7.8125, +59,1849,753,2,60319,,,8.056640625, +26,1849,765,2,280219,6.34765625,,, +27,1849,809,3,280219,6.2255859375,,, +45,1849,821,4,60319,,6.9580078125,, +60,1849,823,4,60319,,,7.568359375, +22,1849,830,4,150319,7.6904296875,,, +35,1849,831,4,150319,,7.32421875,7.6904296875, +7,1849,836,4,220319,8.056640625,,, +33,1849,841,4,220319,,7.4462890625,, +28,1849,842,4,280219,6.2255859375,,, +62,1849,846,4,280219,,,7.32421875, +63,1849,890,5,280219,,,7.9345703125, +19,1849,893,6,10319,7.8125,,, +20,1849,899,6,60319,7.568359375,,, +29,1849,907,6,280219,6.7138671875,,, +30,1849,908,6,280219,6.7138671875,,, +36,1849,911,6,280219,,8.30078125,, +61,1849,927,7,60319,,,8.056640625, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.tex new file mode 100644 index 000000000..41fdae15f --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_freq.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 7.446289 & 8.056641 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 7.812500 & 8.544922 & 7.812500 & 7.934570 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 9.277344 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 8.300781 & 7.690430 & 8.300781 \\ +0 & 1833 & 31 & 0 & 260619 & 7.324219 & NaN & 7.812500 & 9.277344 \\ +1 & 1833 & 33 & 0 & 260619 & 7.446289 & 8.666992 & 7.690430 & 8.544922 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 7.812500 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 7.080078 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 7.568359 & NaN & 7.568359 & 8.300781 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 7.568359 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 7.446289 & 8.056641 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 9.277344 & 7.812500 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 7.446289 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 7.202148 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 7.934570 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 8.422852 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 7.568359 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 7.812500 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 7.568359 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 7.202148 & 8.056641 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 7.812500 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 6.591797 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 8.178711 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 7.934570 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 7.690430 & NaN & NaN & 8.422852 \\ +9 & 1833 & 141 & 3 & 50619 & 7.446289 & 7.568359 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 9.521484 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 6.835938 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 7.934570 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 7.568359 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 7.324219 & NaN & 7.080078 & 8.300781 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 8.300781 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 7.812500 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 8.178711 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 8.544922 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 8.300781 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 7.690430 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 7.690430 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 7.934570 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 7.934570 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 7.568359 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 8.056641 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 6.347656 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 9.399414 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 9.155273 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 9.155273 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 9.399414 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 8.789062 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 7.446289 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 7.934570 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 6.591797 & 8.056641 & 9.033203 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 9.155273 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 8.300781 \\ +10 & 1839 & 628 & 6 & 120619 & 8.056641 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 8.178711 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 7.812500 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 8.056641 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 6.347656 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 6.225586 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 6.958008 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 7.568359 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 7.690430 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 7.324219 & 7.690430 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 8.056641 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 7.446289 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 6.225586 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 7.324219 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 7.934570 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 7.812500 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 7.568359 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 6.713867 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 6.713867 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 8.300781 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 8.056641 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.csv new file mode 100644 index 000000000..a6ee6aba0 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,2.527523860400656,2.007840408200816,, +23,1833,11,0,20719,2.1335665809521345,1.1484698757059864,2.084713391262655,1.0152008184386163 +40,1833,22,0,120619,,0.16152006581869394,, +47,1833,25,0,200619,,0.5224589643010518,1.742798505668156,1.3861320259989167 +0,1833,31,0,260619,0.7152410822694355,,0.7855785817968286,0.21375460614387976 +1,1833,33,0,260619,1.811747714776652,2.452478583034474,2.392377039352679,0.8597303825543516 +68,1833,37,0,260619,,,0.21529915558644586, +11,1833,38,0,290519,0.4750241887062909,,, +12,1833,39,0,290519,1.1618495542003462,,2.0143952660553217,1.1220839683332402 +64,1833,43,0,290519,,,0.7808299203361164, +2,1833,44,1,260619,1.2957190762227615,1.4910922956128765,, +46,1833,52,1,20719,,0.2788739051337732,1.2677830381164057, +8,1833,64,1,50619,1.3324106552907526,,, +37,1833,65,1,50619,,1.5867347184378744,, +75,1833,71,1,60619,,,,1.1122643728434989 +41,1833,73,1,120619,,0.3591077519947472,, +3,1833,77,1,260619,1.3063704231367996,,, +69,1833,81,1,260619,,,1.2196837077265466, +13,1833,88,1,290519,0.8052540295669166,,, +6,1833,97,2,10719,1.9163680212596867,1.765530892755157,, +24,1833,99,2,20719,1.5362040110855355,,, +38,1833,107,2,50619,,0.3555255171312366,, +39,1833,108,2,50619,,0.3207979084248596,, +42,1833,109,2,120619,,1.4883085480933058,, +25,1833,111,2,200619,1.068334039562559,,,0.6932004586135481 +9,1833,141,3,50619,1.8422391152442656,1.9472176375014396,, +43,1833,143,3,120619,,0.5800502610945824,, +48,1833,147,3,200619,,0.23340019752529265,, +70,1833,151,3,260619,,,1.4247217869025042, +14,1833,154,3,290519,0.4830042478775392,,, +15,1833,157,3,290519,0.5764175856512077,,0.7732970442878795,0.1852158226243628 +73,1833,161,3,290519,,,,0.30314547418635485 +66,1833,164,4,20719,,,1.2104519849507118, +49,1833,180,4,290519,,1.5680526912259314,, +50,1833,181,4,290519,,1.658539540438329,, +51,1833,182,4,290519,,0.31938856443662894,, +67,1833,194,5,20719,,,1.7182503211818512, +18,1833,200,5,120619,1.2074449127173512,,, +44,1833,201,5,120619,,0.9855839736406812,, +71,1833,207,5,260619,,,1.097010856179918, +16,1833,211,5,290519,1.1910627554548974,,, +52,1833,215,5,290519,,0.6290519948586635,, +72,1833,229,6,20719,,,,0.15410753543751454 +53,1833,318,7,290519,,0.431004400545584,, +54,1833,319,7,290519,,0.17896491056792566,, +55,1833,320,7,290519,,0.2438154328397424,, +56,1833,321,7,290519,,0.4243546300777688,, +65,1834,395,4,60319,,,1.1305670303143778, +31,1834,403,4,220319,,0.5644363018626164,, +21,1834,452,6,60319,1.311424235278314,,, +32,1834,497,7,220319,,0.34609553991717057,1.8608938772819648,0.3695263153320703 +34,1839,573,0,290519,,0.49614813186505197,, +74,1839,625,6,60619,,,,0.19865826824123897 +10,1839,628,6,120619,0.3885757828098093,,, +17,1839,642,6,200619,0.9190083815970064,,, +58,1849,704,1,60319,,,0.3293940990255839, +59,1849,753,2,60319,,,1.5850368965201111, +26,1849,765,2,280219,0.4067197183030569,,, +27,1849,809,3,280219,0.3554819585386024,,, +45,1849,821,4,60319,,0.14013158385797642,, +60,1849,823,4,60319,,,1.5148273302133513, +22,1849,830,4,150319,0.7670518064708958,,, +35,1849,831,4,150319,,0.6897329718770324,1.4712572737400418, +7,1849,836,4,220319,0.9605385331037066,,, +33,1849,841,4,220319,,0.4715084868063668,, +28,1849,842,4,280219,0.5748509540477569,,, +62,1849,846,4,280219,,,0.2717901933588802, +63,1849,890,5,280219,,,1.4395691378158038, +19,1849,893,6,10319,1.1225292277612544,,, +20,1849,899,6,60319,1.4928946241366452,,, +29,1849,907,6,280219,0.3048581839058633,,, +30,1849,908,6,280219,0.342685496790085,,, +36,1849,911,6,280219,,0.4764903990294789,, +61,1849,927,7,60319,,,0.3436409190819285, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.tex new file mode 100644 index 000000000..098ebe994 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_half_width.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 2.527524 & 2.007840 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 2.133567 & 1.148470 & 2.084713 & 1.015201 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.161520 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.522459 & 1.742799 & 1.386132 \\ +0 & 1833 & 31 & 0 & 260619 & 0.715241 & NaN & 0.785579 & 0.213755 \\ +1 & 1833 & 33 & 0 & 260619 & 1.811748 & 2.452479 & 2.392377 & 0.859730 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.215299 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 0.475024 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 1.161850 & NaN & 2.014395 & 1.122084 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 0.780830 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 1.295719 & 1.491092 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.278874 & 1.267783 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 1.332411 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 1.586735 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 1.112264 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.359108 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 1.306370 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 1.219684 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 0.805254 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 1.916368 & 1.765531 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 1.536204 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.355526 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.320798 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 1.488309 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 1.068334 & NaN & NaN & 0.693200 \\ +9 & 1833 & 141 & 3 & 50619 & 1.842239 & 1.947218 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.580050 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.233400 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 1.424722 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 0.483004 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 0.576418 & NaN & 0.773297 & 0.185216 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.303145 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 1.210452 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 1.568053 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 1.658540 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.319389 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 1.718250 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 1.207445 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.985584 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 1.097011 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 1.191063 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.629052 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.154108 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.431004 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.178965 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.243815 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.424355 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 1.130567 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.564436 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 1.311424 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.346096 & 1.860894 & 0.369526 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.496148 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.198658 \\ +10 & 1839 & 628 & 6 & 120619 & 0.388576 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 0.919008 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 0.329394 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 1.585037 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 0.406720 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 0.355482 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.140132 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 1.514827 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 0.767052 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.689733 & 1.471257 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 0.960539 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.471508 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 0.574851 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 0.271790 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 1.439569 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 1.122529 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 1.492895 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 0.304858 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 0.342685 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.476490 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 0.343641 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.csv new file mode 100644 index 000000000..eb3e961bb --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,0.8946811454818709,0.4204737248855324,, +23,1833,11,0,20719,0.9115939940430254,0.17751152016289454,0.7902056627247492,0.2838115711201493 +40,1833,22,0,120619,,0.06760655944588004,, +47,1833,25,0,200619,,0.2203650056935924,0.8722609415634917,0.1827625909757476 +0,1833,31,0,260619,0.1700975438224849,,0.1788674946134562,0.0375451920167823 +1,1833,33,0,260619,0.8576538804600193,0.33531521161829764,0.8823778145601645,0.25922292252524803 +68,1833,37,0,260619,,,0.045461435059958026, +11,1833,38,0,290519,0.048025270110780005,,, +12,1833,39,0,290519,0.7486425968767871,,0.7872674477577276,0.323048908550218 +64,1833,43,0,290519,,,0.28597806977654544, +2,1833,44,1,260619,0.6890419086918816,0.19868585365377764,, +46,1833,52,1,20719,,0.1176593358828567,0.482197216749966, +8,1833,64,1,50619,0.6172766971975185,,, +37,1833,65,1,50619,,0.13931832069773673,, +75,1833,71,1,60619,,,,0.24098411938092654 +41,1833,73,1,120619,,0.1357853539136226,, +3,1833,77,1,260619,0.7429088555248972,,, +69,1833,81,1,260619,,,0.6693846355144499, +13,1833,88,1,290519,0.5022154136283229,,, +6,1833,97,2,10719,0.8475517190025991,0.2949528010688043,, +24,1833,99,2,20719,0.8359203890008015,,, +38,1833,107,2,50619,,0.04885629889671436,, +39,1833,108,2,50619,,0.05826269546549289,, +42,1833,109,2,120619,,0.35132287791206107,, +25,1833,111,2,200619,0.6052021970481178,,,0.1020291037754574 +9,1833,141,3,50619,0.8229006122046182,0.33050653206850544,, +43,1833,143,3,120619,,0.04625368945480938,, +48,1833,147,3,200619,,0.07936865700151033,, +70,1833,151,3,260619,,,0.7058259893331392, +14,1833,154,3,290519,0.2622742385434759,,, +15,1833,157,3,290519,0.11907344864398126,,0.07189752237942344,0.032494487610254384 +73,1833,161,3,290519,,,,0.025541586322636547 +66,1833,164,4,20719,,,0.2179996947648992, +49,1833,180,4,290519,,0.2692459642663116,, +50,1833,181,4,290519,,0.2882401862091053,, +51,1833,182,4,290519,,0.0282122702003392,, +67,1833,194,5,20719,,,0.708324184976576, +18,1833,200,5,120619,0.6444490546759524,,, +44,1833,201,5,120619,,0.09341123152157893,, +71,1833,207,5,260619,,,0.5819698629719446, +16,1833,211,5,290519,0.5378718161056293,,, +52,1833,215,5,290519,,0.0632743728862319,, +72,1833,229,6,20719,,,,0.029903599677866318 +53,1833,318,7,290519,,0.0386098961016677,, +54,1833,319,7,290519,,0.030184203877035982,, +55,1833,320,7,290519,,0.0454897293125911,, +56,1833,321,7,290519,,0.12983208266639146,, +65,1834,395,4,60319,,,0.07548207024222263, +31,1834,403,4,220319,,0.14519820833309816,, +21,1834,452,6,60319,0.12292481855621158,,, +32,1834,497,7,220319,,0.1283259025269548,0.6217746152457765,0.036196518843131305 +34,1839,573,0,290519,,0.02506503099180889,, +74,1839,625,6,60619,,,,0.029826061247494408 +10,1839,628,6,120619,0.11572040707807102,,, +17,1839,642,6,200619,0.6659958164954914,,, +58,1849,704,1,60319,,,0.1876298130734964, +59,1849,753,2,60319,,,0.7906041957448371, +26,1849,765,2,280219,0.04068446988916432,,, +27,1849,809,3,280219,0.033227797078252616,,, +45,1849,821,4,60319,,0.0626861029770293,, +60,1849,823,4,60319,,,0.2846722106753946, +22,1849,830,4,150319,0.6307434178153377,,, +35,1849,831,4,150319,,0.10818755400295677,0.6914081815705366, +7,1849,836,4,220319,0.5552590709717179,,, +33,1849,841,4,220319,,0.15989471328864086,, +28,1849,842,4,280219,0.051926416425699284,,, +62,1849,846,4,280219,,,0.14548406320572696, +63,1849,890,5,280219,,,0.7975417327048439, +19,1849,893,6,10319,0.6931390870211559,,, +20,1849,899,6,60319,0.8513566065652949,,, +29,1849,907,6,280219,0.02299185034693504,,, +30,1849,908,6,280219,0.01983222432180029,,, +36,1849,911,6,280219,,0.16272358412132726,, +61,1849,927,7,60319,,,0.1457404961123033, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.tex new file mode 100644 index 000000000..849b320dc --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_peak.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 0.894681 & 0.420474 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 0.911594 & 0.177512 & 0.790206 & 0.283812 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.067607 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.220365 & 0.872261 & 0.182763 \\ +0 & 1833 & 31 & 0 & 260619 & 0.170098 & NaN & 0.178867 & 0.037545 \\ +1 & 1833 & 33 & 0 & 260619 & 0.857654 & 0.335315 & 0.882378 & 0.259223 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.045461 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 0.048025 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 0.748643 & NaN & 0.787267 & 0.323049 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 0.285978 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 0.689042 & 0.198686 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.117659 & 0.482197 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 0.617277 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.139318 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.240984 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.135785 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 0.742909 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 0.669385 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 0.502215 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 0.847552 & 0.294953 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 0.835920 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.048856 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.058263 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.351323 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 0.605202 & NaN & NaN & 0.102029 \\ +9 & 1833 & 141 & 3 & 50619 & 0.822901 & 0.330507 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.046254 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.079369 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 0.705826 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 0.262274 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 0.119073 & NaN & 0.071898 & 0.032494 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.025542 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 0.218000 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.269246 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.288240 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.028212 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 0.708324 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 0.644449 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.093411 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 0.581970 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 0.537872 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.063274 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.029904 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.038610 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.030184 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.045490 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.129832 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 0.075482 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.145198 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 0.122925 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.128326 & 0.621775 & 0.036197 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.025065 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.029826 \\ +10 & 1839 & 628 & 6 & 120619 & 0.115720 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 0.665996 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 0.187630 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 0.790604 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 0.040684 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 0.033228 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.062686 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 0.284672 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 0.630743 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.108188 & 0.691408 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 0.555259 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.159895 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 0.051926 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 0.145484 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 0.797542 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 0.693139 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 0.851357 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 0.022992 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 0.019832 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.162724 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 0.145740 & NaN \\ +\bottomrule +\end{tabular} diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.csv b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.csv new file mode 100644 index 000000000..dfa0a18f7 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.csv @@ -0,0 +1,75 @@ +,entity,unit_idnum,channel_group,date,Baseline I,11 Hz,Baseline II,30 Hz +4,1833,5,0,10719,0.5023020683342787,0.03505257981407935,, +23,1833,11,0,20719,0.4895916792710698,0.014079871660963281,0.4803415979141029,0.015772194384664297 +40,1833,22,0,120619,,0.040893454843122685,, +47,1833,25,0,200619,,0.034514852714225774,0.4845115192949087,0.012045510464812734 +0,1833,31,0,260619,0.2545390072570291,,0.286086336273838,0.01117851525444412 +1,1833,33,0,260619,0.4922743974732015,0.03425849379979126,0.4911381966100691,0.006546421651346239 +68,1833,37,0,260619,,,0.06806629084166722, +11,1833,38,0,290519,0.5197370200577607,,, +12,1833,39,0,290519,0.4772644780819158,,0.4605791925643182,0.00253170593733807 +64,1833,43,0,290519,,,0.43266928135751737, +2,1833,44,1,260619,0.3331316278452125,0.027823903403263885,, +46,1833,52,1,20719,,0.018730220621212518,0.3374858083321183, +8,1833,64,1,50619,0.4055080407657251,,, +37,1833,65,1,50619,,0.039847193058854466,, +75,1833,71,1,60619,,,,0.00517950863167512 +41,1833,73,1,120619,,0.02346147729040511,, +3,1833,77,1,260619,0.41116741345169744,,, +69,1833,81,1,260619,,,0.2895013948522381, +13,1833,88,1,290519,0.3537557018698336,,, +6,1833,97,2,10719,0.4560655714818288,0.03271946059511628,, +24,1833,99,2,20719,0.4850645452031474,,, +38,1833,107,2,50619,,0.07770831503458964,, +39,1833,108,2,50619,,0.012255371463580862,, +42,1833,109,2,120619,,0.03284490798405736,, +25,1833,111,2,200619,0.511931694370669,,,0.0044488253373718345 +9,1833,141,3,50619,0.43210712318590216,0.04069486510859908,, +43,1833,143,3,120619,,0.05294507692947286,, +48,1833,147,3,200619,,0.0261858981259684,, +70,1833,151,3,260619,,,0.3854307249294451, +14,1833,154,3,290519,0.6152350930533588,,, +15,1833,157,3,290519,0.4536609924958226,,0.3672259126077003,0.04271185079700389 +73,1833,161,3,290519,,,,0.06714528238161188 +66,1833,164,4,20719,,,0.3316323861572485, +49,1833,180,4,290519,,0.027299038194928668,, +50,1833,181,4,290519,,0.029680598137496832,, +51,1833,182,4,290519,,0.06039909639079215,, +67,1833,194,5,20719,,,0.5080651083067808, +18,1833,200,5,120619,0.4194646297293521,,, +44,1833,201,5,120619,,0.011915203875293271,, +71,1833,207,5,260619,,,0.28158781842579683, +16,1833,211,5,290519,0.31535692095631873,,, +52,1833,215,5,290519,,0.023889257985860536,, +72,1833,229,6,20719,,,,0.030160492393209774 +53,1833,318,7,290519,,0.04075657226890738,, +54,1833,319,7,290519,,0.0759447296883061,, +55,1833,320,7,290519,,0.04351503045538811,, +56,1833,321,7,290519,,0.01771521007677179,, +65,1834,395,4,60319,,,0.03914070650458504, +31,1834,403,4,220319,,0.014368127518345975,, +21,1834,452,6,60319,0.05681617089829325,,, +32,1834,497,7,220319,,0.02358342902159579,0.2865977073161585,0.006362359807448363 +34,1839,573,0,290519,,0.008364862296670437,, +74,1839,625,6,60619,,,,0.025847729721516662 +10,1839,628,6,120619,0.19869504071059,,, +17,1839,642,6,200619,0.4526843791426298,,, +58,1849,704,1,60319,,,0.12029777587085932, +59,1849,753,2,60319,,,0.3884568745267893, +26,1849,765,2,280219,0.030667478609987427,,, +27,1849,809,3,280219,0.3271069336396853,,, +45,1849,821,4,60319,,0.07157801248751322,, +60,1849,823,4,60319,,,0.4278908033994264, +22,1849,830,4,150319,0.394177381582824,,, +35,1849,831,4,150319,,0.024866497223743508,0.43241887442658095, +7,1849,836,4,220319,0.35263127179555,,, +33,1849,841,4,220319,,0.013471933148436435,, +28,1849,842,4,280219,0.3735818910484212,,, +62,1849,846,4,280219,,,0.08333399959085408, +63,1849,890,5,280219,,,0.5042802305249101, +19,1849,893,6,10319,0.4656731826245143,,, +20,1849,899,6,60319,0.6397942768067582,,, +29,1849,907,6,280219,0.2726241241219533,,, +30,1849,908,6,280219,0.29236959609226504,,, +36,1849,911,6,280219,,0.04407866950264251,, +61,1849,927,7,60319,,,0.5518146880466789, diff --git a/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.tex b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.tex new file mode 100644 index 000000000..b74dc0a79 --- /dev/null +++ b/actions/stimulus-spike-lfp-response/data/statistics/values_ns_not_inhibited_theta_vec_len.tex @@ -0,0 +1,80 @@ +\begin{tabular}{lrrrrrrrr} +\toprule +{} & entity & unit\_idnum & channel\_group & date & Baseline I & 11 Hz & Baseline II & 30 Hz \\ +\midrule +4 & 1833 & 5 & 0 & 10719 & 0.502302 & 0.035053 & NaN & NaN \\ +23 & 1833 & 11 & 0 & 20719 & 0.489592 & 0.014080 & 0.480342 & 0.015772 \\ +40 & 1833 & 22 & 0 & 120619 & NaN & 0.040893 & NaN & NaN \\ +47 & 1833 & 25 & 0 & 200619 & NaN & 0.034515 & 0.484512 & 0.012046 \\ +0 & 1833 & 31 & 0 & 260619 & 0.254539 & NaN & 0.286086 & 0.011179 \\ +1 & 1833 & 33 & 0 & 260619 & 0.492274 & 0.034258 & 0.491138 & 0.006546 \\ +68 & 1833 & 37 & 0 & 260619 & NaN & NaN & 0.068066 & NaN \\ +11 & 1833 & 38 & 0 & 290519 & 0.519737 & NaN & NaN & NaN \\ +12 & 1833 & 39 & 0 & 290519 & 0.477264 & NaN & 0.460579 & 0.002532 \\ +64 & 1833 & 43 & 0 & 290519 & NaN & NaN & 0.432669 & NaN \\ +2 & 1833 & 44 & 1 & 260619 & 0.333132 & 0.027824 & NaN & NaN \\ +46 & 1833 & 52 & 1 & 20719 & NaN & 0.018730 & 0.337486 & NaN \\ +8 & 1833 & 64 & 1 & 50619 & 0.405508 & NaN & NaN & NaN \\ +37 & 1833 & 65 & 1 & 50619 & NaN & 0.039847 & NaN & NaN \\ +75 & 1833 & 71 & 1 & 60619 & NaN & NaN & NaN & 0.005180 \\ +41 & 1833 & 73 & 1 & 120619 & NaN & 0.023461 & NaN & NaN \\ +3 & 1833 & 77 & 1 & 260619 & 0.411167 & NaN & NaN & NaN \\ +69 & 1833 & 81 & 1 & 260619 & NaN & NaN & 0.289501 & NaN \\ +13 & 1833 & 88 & 1 & 290519 & 0.353756 & NaN & NaN & NaN \\ +6 & 1833 & 97 & 2 & 10719 & 0.456066 & 0.032719 & NaN & NaN \\ +24 & 1833 & 99 & 2 & 20719 & 0.485065 & NaN & NaN & NaN \\ +38 & 1833 & 107 & 2 & 50619 & NaN & 0.077708 & NaN & NaN \\ +39 & 1833 & 108 & 2 & 50619 & NaN & 0.012255 & NaN & NaN \\ +42 & 1833 & 109 & 2 & 120619 & NaN & 0.032845 & NaN & NaN \\ +25 & 1833 & 111 & 2 & 200619 & 0.511932 & NaN & NaN & 0.004449 \\ +9 & 1833 & 141 & 3 & 50619 & 0.432107 & 0.040695 & NaN & NaN \\ +43 & 1833 & 143 & 3 & 120619 & NaN & 0.052945 & NaN & NaN \\ +48 & 1833 & 147 & 3 & 200619 & NaN & 0.026186 & NaN & NaN \\ +70 & 1833 & 151 & 3 & 260619 & NaN & NaN & 0.385431 & NaN \\ +14 & 1833 & 154 & 3 & 290519 & 0.615235 & NaN & NaN & NaN \\ +15 & 1833 & 157 & 3 & 290519 & 0.453661 & NaN & 0.367226 & 0.042712 \\ +73 & 1833 & 161 & 3 & 290519 & NaN & NaN & NaN & 0.067145 \\ +66 & 1833 & 164 & 4 & 20719 & NaN & NaN & 0.331632 & NaN \\ +49 & 1833 & 180 & 4 & 290519 & NaN & 0.027299 & NaN & NaN \\ +50 & 1833 & 181 & 4 & 290519 & NaN & 0.029681 & NaN & NaN \\ +51 & 1833 & 182 & 4 & 290519 & NaN & 0.060399 & NaN & NaN \\ +67 & 1833 & 194 & 5 & 20719 & NaN & NaN & 0.508065 & NaN \\ +18 & 1833 & 200 & 5 & 120619 & 0.419465 & NaN & NaN & NaN \\ +44 & 1833 & 201 & 5 & 120619 & NaN & 0.011915 & NaN & NaN \\ +71 & 1833 & 207 & 5 & 260619 & NaN & NaN & 0.281588 & NaN \\ +16 & 1833 & 211 & 5 & 290519 & 0.315357 & NaN & NaN & NaN \\ +52 & 1833 & 215 & 5 & 290519 & NaN & 0.023889 & NaN & NaN \\ +72 & 1833 & 229 & 6 & 20719 & NaN & NaN & NaN & 0.030160 \\ +53 & 1833 & 318 & 7 & 290519 & NaN & 0.040757 & NaN & NaN \\ +54 & 1833 & 319 & 7 & 290519 & NaN & 0.075945 & NaN & NaN \\ +55 & 1833 & 320 & 7 & 290519 & NaN & 0.043515 & NaN & NaN \\ +56 & 1833 & 321 & 7 & 290519 & NaN & 0.017715 & NaN & NaN \\ +65 & 1834 & 395 & 4 & 60319 & NaN & NaN & 0.039141 & NaN \\ +31 & 1834 & 403 & 4 & 220319 & NaN & 0.014368 & NaN & NaN \\ +21 & 1834 & 452 & 6 & 60319 & 0.056816 & NaN & NaN & NaN \\ +32 & 1834 & 497 & 7 & 220319 & NaN & 0.023583 & 0.286598 & 0.006362 \\ +34 & 1839 & 573 & 0 & 290519 & NaN & 0.008365 & NaN & NaN \\ +74 & 1839 & 625 & 6 & 60619 & NaN & NaN & NaN & 0.025848 \\ +10 & 1839 & 628 & 6 & 120619 & 0.198695 & NaN & NaN & NaN \\ +17 & 1839 & 642 & 6 & 200619 & 0.452684 & NaN & NaN & NaN \\ +58 & 1849 & 704 & 1 & 60319 & NaN & NaN & 0.120298 & NaN \\ +59 & 1849 & 753 & 2 & 60319 & NaN & NaN & 0.388457 & NaN \\ +26 & 1849 & 765 & 2 & 280219 & 0.030667 & NaN & NaN & NaN \\ +27 & 1849 & 809 & 3 & 280219 & 0.327107 & NaN & NaN & NaN \\ +45 & 1849 & 821 & 4 & 60319 & NaN & 0.071578 & NaN & NaN \\ +60 & 1849 & 823 & 4 & 60319 & NaN & NaN & 0.427891 & NaN \\ +22 & 1849 & 830 & 4 & 150319 & 0.394177 & NaN & NaN & NaN \\ +35 & 1849 & 831 & 4 & 150319 & NaN & 0.024866 & 0.432419 & NaN \\ +7 & 1849 & 836 & 4 & 220319 & 0.352631 & NaN & NaN & NaN \\ +33 & 1849 & 841 & 4 & 220319 & NaN & 0.013472 & NaN & NaN \\ +28 & 1849 & 842 & 4 & 280219 & 0.373582 & NaN & NaN & NaN \\ +62 & 1849 & 846 & 4 & 280219 & NaN & NaN & 0.083334 & NaN \\ +63 & 1849 & 890 & 5 & 280219 & NaN & NaN & 0.504280 & NaN \\ +19 & 1849 & 893 & 6 & 10319 & 0.465673 & NaN & NaN & NaN \\ +20 & 1849 & 899 & 6 & 60319 & 0.639794 & NaN & NaN & NaN \\ +29 & 1849 & 907 & 6 & 280219 & 0.272624 & NaN & NaN & NaN \\ +30 & 1849 & 908 & 6 & 280219 & 0.292370 & NaN & NaN & NaN \\ +36 & 1849 & 911 & 6 & 280219 & NaN & 0.044079 & NaN & NaN \\ +61 & 1849 & 927 & 7 & 60319 & NaN & NaN & 0.551815 & NaN \\ +\bottomrule +\end{tabular}