From f2e00f9295633a40a10d98514e3661e43f1a55aa Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mikkel=20Elle=20Lepper=C3=B8d?= Date: Wed, 10 Mar 2021 13:54:40 +0100 Subject: [PATCH] actions/spikes-in-field/ --- .../data/20_spikes_in_field.html | 3261 +++++------------ .../data/20_spikes_in_field.ipynb | 3261 +++++------------ .../data/figures/stim_field_spikes_11.png | Bin 17937 -> 20904 bytes .../data/figures/stim_field_spikes_11.svg | 4 +- .../data/figures/stim_field_spikes_30.png | Bin 16411 -> 18662 bytes .../data/figures/stim_field_spikes_30.svg | 4 +- .../figures/stim_field_spikes_combined.png | Bin 17947 -> 20816 bytes .../figures/stim_field_spikes_combined.svg | 4 +- .../figures/stim_field_spikes_example.svg | 2 +- .../data/statistics/statistics.csv | 8 +- .../data/statistics/statistics.tex | 8 +- 11 files changed, 1948 insertions(+), 4604 deletions(-) diff --git a/actions/spikes-in-field/data/20_spikes_in_field.html b/actions/spikes-in-field/data/20_spikes_in_field.html index 2a70fcd42..74a0b5cca 100644 --- a/actions/spikes-in-field/data/20_spikes_in_field.html +++ b/actions/spikes-in-field/data/20_spikes_in_field.html @@ -13115,7 +13115,7 @@ div#notebook {
-
In [2]:
+
In [1]:
%load_ext autoreload
@@ -13129,7 +13129,7 @@ div#notebook {
-
In [3]:
+
In [7]:
import os
@@ -13157,7 +13157,6 @@ div#notebook {
     map_pass_to_unit_circle, calculate_field_centers, distance_to_edge_function, 
     compute_crossings, which_field)
 from phase_precession import cl_corr
-from spike_statistics.core import permutation_resampling
 import matplotlib.mlab as mlab
 import scipy.signal as ss
 from scipy.interpolate import interp1d
@@ -13166,37 +13165,13 @@ div#notebook {
 from tqdm.notebook import tqdm_notebook as tqdm
 tqdm.pandas()
 
-from scipy.stats import wilcoxon
+from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table
-
-
- - -
- -
- - -
-
13:18:46 [I] klustakwik KlustaKwik2 version 0.2.6
-/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
-  return f(*args, **kwds)
-/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
-  return f(*args, **kwds)
-/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject
-  return f(*args, **kwds)
-
-
-
- -
-
-
@@ -13213,7 +13188,7 @@ div#notebook {
-
In [4]:
+
In [8]:
# %matplotlib notebook
@@ -13227,7 +13202,7 @@ div#notebook {
-
In [5]:
+
In [9]:
project_path = dp.project_path()
@@ -13250,674 +13225,13 @@ div#notebook {
 
Load cell statistics and shuffling quantiles
-
-
-
-
In [6]:
-
-
-
statistics_action = actions['calculate-statistics']
-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')
-statistics_results = pd.read_csv(statistics_action.data_path('results'))
-statistics = pd.merge(session_units, statistics_results, how='left')
-statistics.head()
-
- -
-
-
- -
-
- - -
- -
Out[6]:
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...burst_event_ratiobursty_spike_ratiogridnessborder_scoreinformation_rateinformation_specificityhead_mean_anghead_mean_vec_lenspacingorientation
01849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.3982300.678064-0.4669230.0293281.0092150.3172565.4380330.0408740.62878420.224859
11849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.1380140.263173-0.6667920.3081460.1925240.0334471.9517400.0172890.78938827.897271
21849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.3739860.659259-0.5725660.1432524.7458360.3937044.4397210.1247310.55540228.810794
31849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.0874130.179245-0.4374920.2689480.1573940.0735536.2151950.1019110.4922509.462322
41849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.2487710.463596-0.0859380.2187440.5191530.0326831.5314810.0538100.5599050.000000
-

5 rows × 39 columns

-
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In [7]:
-
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statistics['unit_day'] = statistics.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)
-
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-
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- -
-
-
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In [8]:
-
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-
stim_response_action = actions['stimulus-response']
-stim_response_results = pd.read_csv(stim_response_action.data_path('results'))
-
- -
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-
- -
-
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-
In [9]:
-
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statistics = pd.merge(statistics, stim_response_results, how='left')
-
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In [10]:
-
print('N cells:',statistics.shape[0])
-
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-
N cells: 1284
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In [11]:
-
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shuffling = actions['shuffling']
-quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))
-quantiles_95.head()
-
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Out[11]:
- - - -
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
border_scoregridnesshead_mean_anghead_mean_vec_leninformation_ratespeed_scoreactionchannel_groupunit_name
00.3480230.2751093.0126890.0867920.7071970.1490711833-010719-10.0127.0
10.3623800.1664753.1331380.0372710.4824860.1322121833-010719-10.0161.0
20.3674980.2668655.5863950.1828430.2711880.0628211833-010719-10.0191.0
30.3319420.3121555.9557670.0907860.3540180.0520091833-010719-10.0223.0
40.3258420.1804955.2627210.1035840.2104270.0940411833-010719-10.0225.0
-
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In [12]:
-
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-
action_columns = ['action', 'channel_group', 'unit_name']
-data = pd.merge(statistics, quantiles_95, on=action_columns, suffixes=("", "_threshold"))
-
-data['specificity'] = np.log10(data['in_field_mean_rate'] / data['out_field_mean_rate'])
-
-data.head()
-
- -
-
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Out[12]:
- - - -
-
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...p_e_peakt_i_peakp_i_peakborder_score_thresholdgridness_thresholdhead_mean_ang_thresholdhead_mean_vec_len_thresholdinformation_rate_thresholdspeed_score_thresholdspecificity
01849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3325480.2290736.0294310.2053621.1158250.0667360.451741
11849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3548300.0893336.1200550.0735660.2232370.0525940.098517
21849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.264610-0.1210815.7594060.1508274.9649840.0271200.400770
31849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3442800.2158296.0333640.1104950.2399960.0540740.269461
41849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3427990.2189675.7681700.0547620.5249900.1447020.133410
-

5 rows × 51 columns

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-

Statistics about all cell-sessions

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In [13]:
-
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data.groupby('stimulated').count()['action']
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Out[13]:
- - - - -
-
stimulated
-False    624
-True     660
-Name: action, dtype: int64
-
- -
- -
-
- -
-
-
-
-

Find all cells with gridness above threshold

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In [14]:
-
-
-
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()
@@ -13936,61 +13250,8 @@ Name: action, dtype: int64 
Number of sessions above threshold 194
 Number of animals 4
-
-
-
- -
-
- -
-
-
-
-

select neurons that have been characterized as a grid cell on the same day

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In [17]:
-
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once_a_gridcell = statistics[statistics.unit_day.isin(sessions_above_threshold.unit_day.values)]
-
- -
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-
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-
In [18]:
-
-
-
print("Number of gridcells", once_a_gridcell.unit_idnum.nunique())
-print("Number of gridcell recordings", len(once_a_gridcell))
-print("Number of animals", len(once_a_gridcell.groupby(['entity'])))
-
- -
-
-
- -
-
- - -
- -
- - -
-
Number of gridcells 139
-Number of gridcell recordings 231
-Number of animals 4
+Number of individual gridcells 139
+Number of gridcell recordings 230
@@ -14008,14 +13269,242 @@ Number of animals 4
-
In [19]:
+
In [34]:
-
baseline_i = once_a_gridcell.query('baseline and Hz11')
-stimulated_11 = once_a_gridcell.query('stimulated and frequency==11 and stim_location=="ms"')
+
# remove multiple measured cells
+results, labels = make_paired_tables(data, ['action', 'unit_name'], cell_types=['gridcell'])
+results = results['gridcell']
+

 
-baseline_ii = once_a_gridcell.query('baseline and Hz30')
-stimulated_30 = once_a_gridcell.query('stimulated and frequency==30 and stim_location=="ms"')
+
+
+
+ +
+
+
+
In [37]:
+
+
+
results['action']
+
+ +
+
+
+ +
+
+ + +
+ +
Out[37]:
+ + + +
+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
entityunit_idnumchannel_groupdateBaseline I11 HzBaseline II30 Hz
51183380207191833-020719-1NaNNaNNaN
85183313020719NaN1833-020719-21833-020719-31833-020719-4
86183314020719NaN1833-020719-21833-020719-3NaN
5818332302006191833-200619-1NaNNaNNaN
1271833260200619NaNNaN1833-200619-31833-200619-4
...........................
13918498354150319NaNNaNNaN1849-150319-4
4318498515603191849-060319-1NaNNaNNaN
65184993272802191849-280219-1NaNNaNNaN
7418499377280219NaN1849-280219-2NaNNaN
10518499397280219NaNNaN1849-280219-3NaN
+

137 rows × 8 columns

+
+
+ +
+ +
+
+ +
+
+
+
In [84]:
+
+
+
def make_unique_unit_df(label):
+    output = pd.DataFrame()
+    for (i, action_row), (j, unit_name_row) in zip(results['action'].iterrows(), results['unit_name'].iterrows()):
+        assert i==j
+        if action_row[label] != action_row[label]: # ugly test for nan
+            continue
+        output.loc[i, 'action'] = action_row[label]
+        output.loc[i, 'channel_group'] = action_row.channel_group
+        output.loc[i, 'unit_idnum'] = action_row.unit_idnum
+        output.loc[i, 'unit_name'] = unit_name_row[label]
+        day = action_row[label].split('-')[1]
+        output.loc[i, 'unit_day'] = f'{action_row.unit_idnum}_{day}'
+    output.unit_name = output.unit_name.values.astype(int)
+    output.channel_group = output.channel_group.values.astype(int)
+    output.unit_idnum = output.unit_idnum.values.astype(int)
+    return output
+
+ +
+
+
+ +
+
+
+
In [85]:
+
+
+
baseline_i = make_unique_unit_df('Baseline I')
+stimulated_11 = make_unique_unit_df('11 Hz')
+
+baseline_ii = make_unique_unit_df('Baseline II')
+stimulated_30 = make_unique_unit_df('30 Hz')
 
 print("Number of gridcells in baseline i sessions", len(baseline_i))
 print("Number of gridcells in stimulated 11Hz ms sessions", len(stimulated_11))
@@ -14038,10 +13527,10 @@ Number of animals 4
 
 
 

-
Number of gridcells in baseline i sessions 66
-Number of gridcells in stimulated 11Hz ms sessions 61
-Number of gridcells in baseline ii sessions 56
-Number of gridcells in stimulated 30Hz ms sessions 40
+
Number of gridcells in baseline i sessions 63
+Number of gridcells in stimulated 11Hz ms sessions 56
+Number of gridcells in baseline ii sessions 46
+Number of gridcells in stimulated 30Hz ms sessions 35
@@ -14049,106 +13538,6 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
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In [20]:
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baseline_ids = baseline_i.unit_day.unique()
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In [21]:
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baseline_ids
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Out[21]:
- - - - -
-
array(['30_260619', '31_260619', '32_260619', '78_260619', '79_260619',
-       '150_260619', '205_260619', '243_260619', '263_260619',
-       '265_260619', '45_010719', '46_010719', '47_010719', '49_010719',
-       '96_010719', '118_010719', '121_010719', '185_010719',
-       '186_010719', '106_050619', '168_050619', '231_050619',
-       '232_050619', '233_050619', '379_150319', '609_120619',
-       '658_120619', '615_290519', '616_290519', '666_290519',
-       '667_290519', '179_290519', '214_290519', '278_290519',
-       '279_290519', '317_290519', '613_200619', '661_200619',
-       '361_010319', '362_010319', '168_120619', '233_120619',
-       '243_120619', '851_060319', '357_220319', '358_220319',
-       '359_220319', '332_060319', '338_060319', '655_060619',
-       '715_110319', '8_020719', '56_020719', '57_020719', '58_020719',
-       '129_020719', '130_020719', '132_020719', '23_200619',
-       '174_200619', '250_200619', '251_200619', '252_200619',
-       '253_200619', '304_200619', '932_280219'], dtype=object)
-
- -
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In [22]:
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stimulated_11_sub = stimulated_11[stimulated_11.unit_day.isin(baseline_ids)]
-
- -
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In [23]:
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baseline_ids_11 = stimulated_11_sub.unit_day.unique()
-
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In [24]:
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baseline_i_sub = baseline_i[baseline_i.unit_day.isin(baseline_ids_11)]
-
- -
-
-
-
@@ -14159,7 +13548,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [25]:
+
In [17]:
max_speed = .5 # m/s only used for speed score
@@ -14185,7 +13574,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [26]:
+
In [18]:
data_loader = dp.Data(
@@ -14203,7 +13592,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [27]:
+
In [19]:
def find_grid_fields(rate_map, sigma=3, seed=2.5):
@@ -14239,7 +13628,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [28]:
+
In [20]:
def get_data(row):
@@ -14272,7 +13661,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [29]:
+
In [21]:
def compute_field_spikes(row, plot=False, z1=5e-3, z2=11e-3, surrogate_fields=None):
@@ -14291,6 +13680,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     
     stim_spikes = []
     stim_in_field_indices = []
+    # set z1 and z2 to be after the response: z1=12e3 - z2=60e3
     if stim_times is not None:
         for t in stim_times:
             idx = np.searchsorted(spikes, [t + z1, t + z2], side='right')
@@ -14358,7 +13748,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [30]:
+
In [22]:
def plot_stim_field_spikes(row, t1=0, t2=30, z1_base=0, z2_base=5, z1_stim=5, z2_stim=11, colors=['k','r']):
@@ -14456,7 +13846,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [307]:
+
In [23]:
 compute_field_spikes(baseline_i.sort_values('gridness', ascending=False).iloc[18], plot=True)
@@ -14472,7 +13862,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 

 
-    
Out[307]:

+    
Out[23]:

 
 
 
@@ -14499,7 +13889,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 
 

-
 

@@ -14509,6 +13899,146 @@ Number of gridcells in stimulated 30Hz ms sessions 40
+
+
+
+
+

Compare individual cells across sessions

+
+
+
+
+
+
In [12]:
+
+
+
baseline_ids = baseline_i.unit_day.unique()
+
+ +
+
+
+ +
+
+
+
In [13]:
+
+
+
baseline_ids
+
+ +
+
+
+ +
+
+ + +
+ +
Out[13]:
+ + + + +
+
array(['30_260619', '31_260619', '32_260619', '78_260619', '79_260619',
+       '150_260619', '205_260619', '243_260619', '263_260619',
+       '265_260619', '45_010719', '46_010719', '47_010719', '49_010719',
+       '96_010719', '118_010719', '121_010719', '185_010719',
+       '186_010719', '106_050619', '168_050619', '231_050619',
+       '232_050619', '233_050619', '379_150319', '609_120619',
+       '658_120619', '615_290519', '616_290519', '666_290519',
+       '667_290519', '179_290519', '214_290519', '278_290519',
+       '279_290519', '317_290519', '613_200619', '661_200619',
+       '361_010319', '362_010319', '168_120619', '233_120619',
+       '243_120619', '851_060319', '357_220319', '358_220319',
+       '359_220319', '332_060319', '338_060319', '655_060619',
+       '715_110319', '8_020719', '56_020719', '57_020719', '58_020719',
+       '129_020719', '130_020719', '132_020719', '23_200619',
+       '174_200619', '250_200619', '251_200619', '252_200619',
+       '253_200619', '304_200619', '932_280219'], dtype=object)
+
+ +
+ +
+
+ +
+
+
+
In [14]:
+
+
+
stimulated_11_sub = stimulated_11[stimulated_11.unit_day.isin(baseline_ids)]
+
+ +
+
+
+ +
+
+
+
In [29]:
+
+
+
len(stimulated_11_sub)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[29]:
+ + + + +
+
22
+
+ +
+ +
+
+ +
+
+
+
In [15]:
+
+
+
baseline_ids_11 = stimulated_11_sub.unit_day.unique()
+
+ +
+
+
+ +
+
+
+
In [16]:
+
+
+
baseline_i_sub = baseline_i[baseline_i.unit_day.isin(baseline_ids_11)]
+
+ +
+
+
+
@@ -15671,7 +15201,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [31]:
+
In [24]:
plt.rc('axes', titlesize=12)
@@ -15724,7 +15254,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [32]:
+
In [86]:
results_stim_stim_11 = []
@@ -15740,7 +15270,9 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     
     results_stim_stim_11.append({
         'base_in_field': 1 - base_in_field.mean(),
-        'stim_in_field': 1 - stim_in_field.mean()
+        'stim_in_field': 1 - stim_in_field.mean(),
+        'entity': row_stim.action.split('-')[0],
+        'unit_idnum': row_stim.unit_idnum
     })
 #     break
@@ -15752,7 +15284,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [33]:
+
In [87]:
results_stim_stim_11 = pd.DataFrame(results_stim_stim_11)
@@ -15769,7 +15301,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 

 
-    
Out[33]:

+    
Out[87]:

 
 
 
@@ -15794,67 +15326,405 @@ Number of gridcells in stimulated 30Hz ms sessions 40
       
       base_in_field
       stim_in_field
+      entity
+      unit_idnum
     
   
   
     
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-      0.615038
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       3
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       4
-      0.728571
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-      ...
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-
61 rows × 2 columns
@@ -15866,7 +15736,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [34]:
+
In [89]:
results_stim_stim_30 = []
@@ -15882,7 +15752,9 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     
     results_stim_stim_30.append({
         'base_in_field': 1 - base_in_field.mean(),
-        'stim_in_field': 1 - stim_in_field.mean()
+        'stim_in_field': 1 - stim_in_field.mean(),
+        'entity': row_stim.action.split('-')[0],
+        'unit_idnum': row_stim.unit_idnum
     })
 #     break
@@ -15894,7 +15766,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
-
In [35]:
+
In [90]:
results_stim_stim_30 = pd.DataFrame(results_stim_stim_30)
@@ -15911,7 +15783,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 

 
-    
Out[35]:

+    
Out[90]:

 
 
 
@@ -15936,208 +15808,255 @@ Number of gridcells in stimulated 30Hz ms sessions 40
       
       base_in_field
       stim_in_field
+      entity
+      unit_idnum
     
   
   
     
       0
-      0.444444
-      0.400000
+      0.509735
+      0.528025
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       1
-      0.220588
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       2
-      0.511504
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       3
-      0.640244
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       4
-      0.370968
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+      0.426690
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       5
-      0.687144
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       6
-      0.509735
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       7
-      0.535645
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       8
-      0.391549
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       9
-      0.524590
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       10
-      0.568627
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       11
-      0.574074
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       12
-      0.522109
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       13
-      0.555556
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       14
-      0.188235
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       15
-      0.325301
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       16
-      0.685393
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       17
-      0.565046
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       18
-      0.457364
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       19
-      0.485961
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       20
-      0.402010
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       21
-      0.329670
-      0.273570
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       22
-      0.455128
-      0.426690
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       23
-      0.421053
-      0.421569
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       24
-      0.484375
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+      0.485961
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       25
-      0.736328
-      0.723063
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       26
-      0.602041
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       27
-      0.570312
-      0.699342
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+      0.400000
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       28
-      0.292683
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+      0.220588
+      0.321023
+      1839
+      629
     
     
       29
-      0.517162
-      0.671468
+      0.525164
+      0.579110
+      1839
+      655
     
     
       30
-      0.187500
-      0.328277
+      0.317073
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       31
-      0.562500
-      0.560521
+      0.640244
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       32
-      0.540453
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       33
-      0.612903
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+      0.687144
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       34
-      0.537879
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-    
-    
-      35
-      0.525164
-      0.579110
-    
-    
-      36
-      0.317073
-      0.383289
-    
-    
-      37
-      0.354167
-      0.363636
-    
-    
-      38
-      0.458333
-      0.446855
-    
-    
-      39
-      0.526316
-      0.660650
+      0.457364
+      0.553879
+      1849
+      835
     
   
 
@@ -16152,7 +16071,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
In [36]:

+
In [91]:

 

     

 
results_stim_stim_all = pd.concat([results_stim_stim_11, results_stim_stim_30])
@@ -16165,7 +16084,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
In [37]:

+
In [93]:

 

     

 
plt.rc('axes', titlesize=12)
@@ -16180,7 +16099,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     results_stim_stim_all.base_in_field, 
     results_stim_stim_all.stim_in_field, 
     colors=None,
-    test='wilcoxon'
+    draw_significance=False
 )
 figname = 'stim_field_spikes_combined'
 fig.savefig(
@@ -16196,7 +16115,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     results_stim_stim_11.base_in_field, 
     results_stim_stim_11.stim_in_field, 
     colors=['#1b9e77','#d95f02'],
-    test='wilcoxon'
+    draw_significance=False
 )
 figname = 'stim_field_spikes_11'
 fig.savefig(
@@ -16212,7 +16131,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
     results_stim_stim_30.base_in_field, 
     results_stim_stim_30.stim_in_field, 
     colors=['#7570b3', '#e7298a'],
-    test='wilcoxon'
+    draw_significance=False
 )
 figname = 'stim_field_spikes_30'
 fig.savefig(
@@ -16240,7 +16159,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 
 

-
-
-
 

-
In [38]:

+
In [94]:

 

     

-
def summarize(data):
-    return "{:.2f} ± {:.2f} ({})".format(data.mean(), data.sem(), sum(~np.isnan(data)))
-
-
-def Wilcoxon(df, keys):
-    '''
-    Wilcoxon
-    '''
-    Uvalue, pvalue = scipy.stats.wilcoxon(
-        df[keys[0]].dropna(), 
-        df[keys[1]].dropna(),
-        alternative='two-sided')
-
-    return "{:.2f}, {:.3f}".format(Uvalue, pvalue)
+
results_all = {
+    'Combined':results_stim_stim_all,
+    '11 Hz': results_stim_stim_11,
+    '30 Hz': results_stim_stim_30
+}
 

 
     

@@ -16309,201 +16219,10 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
In [40]:

+
In [96]:

 

     

-
results_stim_stim_all.base_in_field.agg(summarize)
-

-
-    

-

-

-
-

-

-
-
-

-
-    
Out[40]:

-
-
-
-
-

-
'0.48 ± 0.02 (101)'

-

-
-

-
-

-

-
-

-

-

-
In [49]:

-

-    

-
stat = pd.DataFrame()
-
-stat['Combined'] = results_stim_stim_all.agg(summarize)
-stat['11 Hz'] = results_stim_stim_11.agg(summarize)
-stat['30 Hz'] = results_stim_stim_30.agg(summarize)
-
-stat.loc['W', 'Combined'] = Wilcoxon(results_stim_stim_all, ['base_in_field', 'stim_in_field'])
-
-stat
-    
-

-
-    

-

-

-
-

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Out[49]:

-
-
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-

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-
-  
-    
-      
-      
-      
-      
-    
-  
-  
-    
-      
-      
-      
-      
-    
-    
-      
-      
-      
-      
-    
-    
-      
-      
-      
-      
-    
-  
-
Combined11 Hz30 Hz
base_in_field0.48 ± 0.02 (101)0.47 ± 0.02 (61)0.48 ± 0.02 (40)
stim_in_field0.54 ± 0.01 (101)0.54 ± 0.02 (61)0.52 ± 0.02 (40)
MWU380.00, 0.000NaNNaN

-

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more in baseline than response

-

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-
In [247]:

-

-    

-
wilcoxon(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field)
-

-
-    

-

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Out[247]:

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-
WilcoxonResult(statistic=35.0, pvalue=6.155288245645252e-11)

-

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-
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-

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-
In [248]:

-

-    

-
wilcoxon(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field, alternative='less')
-

-
-    

-

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-
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Out[248]:

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WilcoxonResult(statistic=35.0, pvalue=3.077644122822626e-11)

-

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-
In [ ]:

-

-    

-
 
+
stat, _ = make_statistics_table(results_all, ['base_in_field', 'stim_in_field'])
 

 
     

@@ -16513,84 +16232,17 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
In [249]:

+
In [97]:

 

     

-
(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field).hist()
+
stat.to_latex(output_path / "statistics" / "statistics.tex")
+stat.to_csv(output_path / "statistics" / "statistics.csv")
 

 
     

 

 

 
-

-

-
-
-

-
-    
Out[249]:

-
-
-
-
-

-
<matplotlib.axes._subplots.AxesSubplot at 0x7fbf3ae7fb70>

-

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-    

-
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In [251]:

-

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-
(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field).median()
-

-
-    

-

-

-
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Out[251]:

-
-
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-
-0.0628016121809225

-

-
-

-
-

-

-
 

 

 

@@ -16848,450 +16500,6 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 
-

-

-

-

-
more in baseline than response

-

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-
In [190]:

-

-    

-
wilcoxon(results.base_in_field - results.stim_stim_in_field)
-

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Out[190]:

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WilcoxonResult(statistic=12.0, pvalue=0.011007912955186742)

-

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In [191]:

-

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-
wilcoxon(results.base_in_field - results.stim_stim_in_field, alternative='greater')
-

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-    

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Out[191]:

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WilcoxonResult(statistic=93.0, pvalue=0.005503956477593371)

-

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In [192]:

-

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(results.base_in_field - results.stim_stim_in_field).hist()
-

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Out[192]:

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<matplotlib.axes._subplots.AxesSubplot at 0x7fbf3a9ee780>

-

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In [153]:

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(results.base_in_field - results.stim_stim_in_field).median()
-

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Out[153]:

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action_basebaseline_baseentity_basefrequency_basei_baseii_basesession_basestim_location_basestimulated_basetag_base...information_rate_stiminformation_specificity_stimhead_mean_ang_stimhead_mean_vec_len_stimspacing_stimorientation_stimt_e_peak_stimp_e_peak_stimt_i_peak_stimp_i_peak_stim
01833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.0667740.3024045.5390690.1035520.34214210.007980NaNNaNNaNNaN
11833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.5536750.1068605.2841250.1516400.36143014.743563NaNNaNNaNNaN
21833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.9148060.0855795.6505860.1020100.47780351.952957NaNNaNNaNNaN
31833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.6814610.1545062.6015500.0155700.3437840.000000NaNNaNNaNNaN
41833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...1.0219320.3491521.1964460.1371360.34440313.240520NaNNaNNaNNaN
51833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.7353410.0435883.4181230.0550510.40534846.468801NaNNaNNaNNaN
61833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8576980.2697692.3403440.1376020.35131113.240520NaNNaNNaNNaN
71833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.4427800.5858542.3214380.2201390.3872575.440332NaNNaNNaNNaN
81833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8629730.1838970.0693310.0919810.3661469.462322NaNNaNNaNNaN
91833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8735610.1030533.6681890.0694080.43476270.559965NaNNaNNaNNaN
101833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.6787980.0548023.7260410.0145190.3556656.009006NaNNaNNaNNaN
111834-010319-1True1834NaNTrueFalse1NaNFalsebaseline i...0.8586561.3591644.8087600.1759710.54752139.093859NaNNaNNaNNaN
121833-120619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8028340.4247485.0359400.1325870.3843578.972627NaNNaNNaNNaN
131833-120619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.9287960.1511463.4732570.0427330.39278411.309932NaNNaNNaNNaN
141834-220319-1True1834NaNTrueFalse1NaNFalsebaseline i...1.1740190.0593984.8153050.0310140.5901350.000000NaNNaNNaNNaN
151834-220319-1True1834NaNTrueFalse1NaNFalsebaseline i...1.9189540.6274024.2416430.0740060.70764729.054604NaNNaNNaNNaN
161839-060619-1True1839NaNTrueFalse1NaNFalsebaseline i...0.8970830.0602460.8917950.0301900.49148348.576334NaNNaNNaNNaN
171849-110319-1True1849NaNTrueFalse1NaNFalsebaseline i...0.3989430.1466480.2220760.1025390.64359826.565051NaNNaNNaNNaN
181833-020719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8764950.1153991.0121560.0033920.35624912.528808NaNNaNNaNNaN
191833-020719-1True1833NaNTrueFalse1NaNFalsebaseline i...1.4291780.1079375.3698240.0953420.3441019.462322NaNNaNNaNNaN
201833-200619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.1928820.4271880.0391460.1990680.3904196.009006NaNNaNNaNNaN
211833-200619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.4110130.0378155.1070940.0296900.3749186.009006NaNNaNNaNNaN

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@@ -17971,7 +16574,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

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In [344]:

+
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action = project.require_action("spikes-in-field")
@@ -17984,7 +16587,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
In [345]:

+
In [99]:

 

     

 
copy_tree(output_path, str(action.data_path()))
@@ -18000,13 +16603,15 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 
 

 
-    
Out[345]:

+    
Out[99]:

 
 
 
 
 

-
['/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.svg',
+
['/media/storage/expipe/septum-mec/actions/spikes-in-field/data/statistics/statistics.tex',
+ '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/statistics/statistics.csv',
+ '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.svg',
  '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.svg',
  '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.svg',
  '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.png',
@@ -18024,7 +16629,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
 

 

 

-
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+
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septum_mec.analysis.registration.store_notebook(action, "20_spikes_in_field.ipynb")
diff --git a/actions/spikes-in-field/data/20_spikes_in_field.ipynb b/actions/spikes-in-field/data/20_spikes_in_field.ipynb
index 2513b6506..55ff59449 100644
--- a/actions/spikes-in-field/data/20_spikes_in_field.ipynb
+++ b/actions/spikes-in-field/data/20_spikes_in_field.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,23 +12,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "13:18:46 [I] klustakwik KlustaKwik2 version 0.2.6\n",
-      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
-      "  return f(*args, **kwds)\n",
-      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
-      "  return f(*args, **kwds)\n",
-      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/importlib/_bootstrap.py:219: RuntimeWarning: numpy.ufunc size changed, may indicate binary incompatibility. Expected 192 from C header, got 216 from PyObject\n",
-      "  return f(*args, **kwds)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import os\n",
     "import pathlib\n",
@@ -55,7 +41,6 @@
     "    map_pass_to_unit_circle, calculate_field_centers, distance_to_edge_function, \n",
     "    compute_crossings, which_field)\n",
     "from phase_precession import cl_corr\n",
-    "from spike_statistics.core import permutation_resampling\n",
     "import matplotlib.mlab as mlab\n",
     "import scipy.signal as ss\n",
     "from scipy.interpolate import interp1d\n",
@@ -64,7 +49,7 @@
     "from tqdm.notebook import tqdm_notebook as tqdm\n",
     "tqdm.pandas()\n",
     "\n",
-    "from scipy.stats import wilcoxon"
+    "from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table"
    ]
   },
   {
@@ -76,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -86,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,736 +91,24 @@
     "# Load cell statistics and shuffling quantiles"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
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actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...burst_event_ratiobursty_spike_ratiogridnessborder_scoreinformation_rateinformation_specificityhead_mean_anghead_mean_vec_lenspacingorientation
01849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.3982300.678064-0.4669230.0293281.0092150.3172565.4380330.0408740.62878420.224859
11849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.1380140.263173-0.6667920.3081460.1925240.0334471.9517400.0172890.78938827.897271
21849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.3739860.659259-0.5725660.1432524.7458360.3937044.4397210.1247310.55540228.810794
31849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.0874130.179245-0.4374920.2689480.1573940.0735536.2151950.1019110.4922509.462322
41849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...0.2487710.463596-0.0859380.2187440.5191530.0326831.5314810.0538100.5599050.000000
\n",
-       "
5 rows × 39 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "          action  baseline  entity  frequency      i    ii  session  \\\n",
-       "0  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "1  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "2  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "3  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "4  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "\n",
-       "  stim_location  stimulated          tag  ...  burst_event_ratio  \\\n",
-       "0           NaN       False  baseline ii  ...           0.398230   \n",
-       "1           NaN       False  baseline ii  ...           0.138014   \n",
-       "2           NaN       False  baseline ii  ...           0.373986   \n",
-       "3           NaN       False  baseline ii  ...           0.087413   \n",
-       "4           NaN       False  baseline ii  ...           0.248771   \n",
-       "\n",
-       "  bursty_spike_ratio  gridness  border_score  information_rate  \\\n",
-       "0           0.678064 -0.466923      0.029328          1.009215   \n",
-       "1           0.263173 -0.666792      0.308146          0.192524   \n",
-       "2           0.659259 -0.572566      0.143252          4.745836   \n",
-       "3           0.179245 -0.437492      0.268948          0.157394   \n",
-       "4           0.463596 -0.085938      0.218744          0.519153   \n",
-       "\n",
-       "   information_specificity  head_mean_ang head_mean_vec_len   spacing  \\\n",
-       "0                 0.317256       5.438033          0.040874  0.628784   \n",
-       "1                 0.033447       1.951740          0.017289  0.789388   \n",
-       "2                 0.393704       4.439721          0.124731  0.555402   \n",
-       "3                 0.073553       6.215195          0.101911  0.492250   \n",
-       "4                 0.032683       1.531481          0.053810  0.559905   \n",
-       "\n",
-       "   orientation  \n",
-       "0    20.224859  \n",
-       "1    27.897271  \n",
-       "2    28.810794  \n",
-       "3     9.462322  \n",
-       "4     0.000000  \n",
-       "\n",
-       "[5 rows x 39 columns]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "statistics_action = actions['calculate-statistics']\n",
-    "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')\n",
-    "statistics_results = pd.read_csv(statistics_action.data_path('results'))\n",
-    "statistics = pd.merge(session_units, statistics_results, how='left')\n",
-    "statistics.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "statistics['unit_day'] = statistics.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stim_response_action = actions['stimulus-response']\n",
-    "stim_response_results = pd.read_csv(stim_response_action.data_path('results'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "statistics = pd.merge(statistics, stim_response_results, how='left')"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "N cells: 1284\n"
-     ]
-    }
-   ],
-   "source": [
-    "print('N cells:',statistics.shape[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
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border_scoregridnesshead_mean_anghead_mean_vec_leninformation_ratespeed_scoreactionchannel_groupunit_name
00.3480230.2751093.0126890.0867920.7071970.1490711833-010719-10.0127.0
10.3623800.1664753.1331380.0372710.4824860.1322121833-010719-10.0161.0
20.3674980.2668655.5863950.1828430.2711880.0628211833-010719-10.0191.0
30.3319420.3121555.9557670.0907860.3540180.0520091833-010719-10.0223.0
40.3258420.1804955.2627210.1035840.2104270.0940411833-010719-10.0225.0
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-      ],
-      "text/plain": [
-       "   border_score  gridness  head_mean_ang  head_mean_vec_len  information_rate  \\\n",
-       "0      0.348023  0.275109       3.012689           0.086792          0.707197   \n",
-       "1      0.362380  0.166475       3.133138           0.037271          0.482486   \n",
-       "2      0.367498  0.266865       5.586395           0.182843          0.271188   \n",
-       "3      0.331942  0.312155       5.955767           0.090786          0.354018   \n",
-       "4      0.325842  0.180495       5.262721           0.103584          0.210427   \n",
-       "\n",
-       "   speed_score         action  channel_group  unit_name  \n",
-       "0     0.149071  1833-010719-1            0.0      127.0  \n",
-       "1     0.132212  1833-010719-1            0.0      161.0  \n",
-       "2     0.062821  1833-010719-1            0.0      191.0  \n",
-       "3     0.052009  1833-010719-1            0.0      223.0  \n",
-       "4     0.094041  1833-010719-1            0.0      225.0  "
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "shuffling = actions['shuffling']\n",
-    "quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))\n",
-    "quantiles_95.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
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actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...p_e_peakt_i_peakp_i_peakborder_score_thresholdgridness_thresholdhead_mean_ang_thresholdhead_mean_vec_len_thresholdinformation_rate_thresholdspeed_score_thresholdspecificity
01849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3325480.2290736.0294310.2053621.1158250.0667360.451741
11849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3548300.0893336.1200550.0735660.2232370.0525940.098517
21849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.264610-0.1210815.7594060.1508274.9649840.0271200.400770
31849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3442800.2158296.0333640.1104950.2399960.0540740.269461
41849-060319-3True1849NaNFalseTrue3NaNFalsebaseline ii...NaNNaNNaN0.3427990.2189675.7681700.0547620.5249900.1447020.133410
\n",
-       "
5 rows × 51 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "          action  baseline  entity  frequency      i    ii  session  \\\n",
-       "0  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "1  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "2  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "3  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "4  1849-060319-3      True    1849        NaN  False  True        3   \n",
-       "\n",
-       "  stim_location  stimulated          tag  ...  p_e_peak t_i_peak  p_i_peak  \\\n",
-       "0           NaN       False  baseline ii  ...       NaN      NaN       NaN   \n",
-       "1           NaN       False  baseline ii  ...       NaN      NaN       NaN   \n",
-       "2           NaN       False  baseline ii  ...       NaN      NaN       NaN   \n",
-       "3           NaN       False  baseline ii  ...       NaN      NaN       NaN   \n",
-       "4           NaN       False  baseline ii  ...       NaN      NaN       NaN   \n",
-       "\n",
-       "   border_score_threshold  gridness_threshold  head_mean_ang_threshold  \\\n",
-       "0                0.332548            0.229073                 6.029431   \n",
-       "1                0.354830            0.089333                 6.120055   \n",
-       "2                0.264610           -0.121081                 5.759406   \n",
-       "3                0.344280            0.215829                 6.033364   \n",
-       "4                0.342799            0.218967                 5.768170   \n",
-       "\n",
-       "   head_mean_vec_len_threshold information_rate_threshold  \\\n",
-       "0                     0.205362                   1.115825   \n",
-       "1                     0.073566                   0.223237   \n",
-       "2                     0.150827                   4.964984   \n",
-       "3                     0.110495                   0.239996   \n",
-       "4                     0.054762                   0.524990   \n",
-       "\n",
-       "   speed_score_threshold  specificity  \n",
-       "0               0.066736     0.451741  \n",
-       "1               0.052594     0.098517  \n",
-       "2               0.027120     0.400770  \n",
-       "3               0.054074     0.269461  \n",
-       "4               0.144702     0.133410  \n",
-       "\n",
-       "[5 rows x 51 columns]"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "action_columns = ['action', 'channel_group', 'unit_name']\n",
-    "data = pd.merge(statistics, quantiles_95, on=action_columns, suffixes=(\"\", \"_threshold\"))\n",
-    "\n",
-    "data['specificity'] = np.log10(data['in_field_mean_rate'] / data['out_field_mean_rate'])\n",
-    "\n",
-    "data.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Statistics about all cell-sessions"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "stimulated\n",
-       "False    624\n",
-       "True     660\n",
-       "Name: action, dtype: int64"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.groupby('stimulated').count()['action']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Find all cells with gridness above threshold"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Number of sessions above threshold 194\n",
-      "Number of animals 4\n"
+      "Number of animals 4\n",
+      "Number of individual gridcells 139\n",
+      "Number of gridcell recordings 230\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": "markdown",
-   "metadata": {},
-   "source": [
-    "## select neurons that have been characterized as a grid cell on the same day"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "once_a_gridcell = statistics[statistics.unit_day.isin(sessions_above_threshold.unit_day.values)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "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": [
-    "print(\"Number of gridcells\", once_a_gridcell.unit_idnum.nunique())\n",
-    "print(\"Number of gridcell recordings\", len(once_a_gridcell))\n",
-    "print(\"Number of animals\", len(once_a_gridcell.groupby(['entity'])))"
+    "data, labels, colors, queries = load_data_frames()"
    ]
   },
   {
@@ -847,26 +120,263 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# remove multiple measured cells\n",
+    "results, labels = make_paired_tables(data, ['action', 'unit_name'], cell_types=['gridcell'])\n",
+    "results = results['gridcell']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "
entityunit_idnumchannel_groupdateBaseline I11 HzBaseline II30 Hz
51183380207191833-020719-1NaNNaNNaN
85183313020719NaN1833-020719-21833-020719-31833-020719-4
86183314020719NaN1833-020719-21833-020719-3NaN
5818332302006191833-200619-1NaNNaNNaN
1271833260200619NaNNaN1833-200619-31833-200619-4
...........................
13918498354150319NaNNaNNaN1849-150319-4
4318498515603191849-060319-1NaNNaNNaN
65184993272802191849-280219-1NaNNaNNaN
7418499377280219NaN1849-280219-2NaNNaN
10518499397280219NaNNaN1849-280219-3NaN
\n",
+       "
137 rows × 8 columns
\n",
+       "
"
+      ],
+      "text/plain": [
+       "     entity  unit_idnum  channel_group    date     Baseline I          11 Hz  \\\n",
+       "51     1833           8              0   20719  1833-020719-1            NaN   \n",
+       "85     1833          13              0   20719            NaN  1833-020719-2   \n",
+       "86     1833          14              0   20719            NaN  1833-020719-2   \n",
+       "58     1833          23              0  200619  1833-200619-1            NaN   \n",
+       "127    1833          26              0  200619            NaN            NaN   \n",
+       "..      ...         ...            ...     ...            ...            ...   \n",
+       "139    1849         835              4  150319            NaN            NaN   \n",
+       "43     1849         851              5   60319  1849-060319-1            NaN   \n",
+       "65     1849         932              7  280219  1849-280219-1            NaN   \n",
+       "74     1849         937              7  280219            NaN  1849-280219-2   \n",
+       "105    1849         939              7  280219            NaN            NaN   \n",
+       "\n",
+       "       Baseline II          30 Hz  \n",
+       "51             NaN            NaN  \n",
+       "85   1833-020719-3  1833-020719-4  \n",
+       "86   1833-020719-3            NaN  \n",
+       "58             NaN            NaN  \n",
+       "127  1833-200619-3  1833-200619-4  \n",
+       "..             ...            ...  \n",
+       "139            NaN  1849-150319-4  \n",
+       "43             NaN            NaN  \n",
+       "65             NaN            NaN  \n",
+       "74             NaN            NaN  \n",
+       "105  1849-280219-3            NaN  \n",
+       "\n",
+       "[137 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results['action']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def make_unique_unit_df(label):\n",
+    "    output = pd.DataFrame()\n",
+    "    for (i, action_row), (j, unit_name_row) in zip(results['action'].iterrows(), results['unit_name'].iterrows()):\n",
+    "        assert i==j\n",
+    "        if action_row[label] != action_row[label]: # ugly test for nan\n",
+    "            continue\n",
+    "        output.loc[i, 'action'] = action_row[label]\n",
+    "        output.loc[i, 'channel_group'] = action_row.channel_group\n",
+    "        output.loc[i, 'unit_idnum'] = action_row.unit_idnum\n",
+    "        output.loc[i, 'unit_name'] = unit_name_row[label]\n",
+    "        day = action_row[label].split('-')[1]\n",
+    "        output.loc[i, 'unit_day'] = f'{action_row.unit_idnum}_{day}'\n",
+    "    output.unit_name = output.unit_name.values.astype(int)\n",
+    "    output.channel_group = output.channel_group.values.astype(int)\n",
+    "    output.unit_idnum = output.unit_idnum.values.astype(int)\n",
+    "    return output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of gridcells in baseline i sessions 66\n",
-      "Number of gridcells in stimulated 11Hz ms sessions 61\n",
-      "Number of gridcells in baseline ii sessions 56\n",
-      "Number of gridcells in stimulated 30Hz ms sessions 40\n"
+      "Number of gridcells in baseline i sessions 63\n",
+      "Number of gridcells in stimulated 11Hz ms sessions 56\n",
+      "Number of gridcells in baseline ii sessions 46\n",
+      "Number of gridcells in stimulated 30Hz ms sessions 35\n"
      ]
     }
    ],
    "source": [
-    "baseline_i = once_a_gridcell.query('baseline and Hz11')\n",
-    "stimulated_11 = once_a_gridcell.query('stimulated and frequency==11 and stim_location==\"ms\"')\n",
+    "baseline_i = make_unique_unit_df('Baseline I')\n",
+    "stimulated_11 = make_unique_unit_df('11 Hz')\n",
     "\n",
-    "baseline_ii = once_a_gridcell.query('baseline and Hz30')\n",
-    "stimulated_30 = once_a_gridcell.query('stimulated and frequency==30 and stim_location==\"ms\"')\n",
+    "baseline_ii = make_unique_unit_df('Baseline II')\n",
+    "stimulated_30 = make_unique_unit_df('30 Hz')\n",
     "\n",
     "print(\"Number of gridcells in baseline i sessions\", len(baseline_i))\n",
     "print(\"Number of gridcells in stimulated 11Hz ms sessions\", len(stimulated_11))\n",
@@ -875,77 +385,6 @@
     "print(\"Number of gridcells in stimulated 30Hz ms sessions\", len(stimulated_30))"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "baseline_ids = baseline_i.unit_day.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array(['30_260619', '31_260619', '32_260619', '78_260619', '79_260619',\n",
-       "       '150_260619', '205_260619', '243_260619', '263_260619',\n",
-       "       '265_260619', '45_010719', '46_010719', '47_010719', '49_010719',\n",
-       "       '96_010719', '118_010719', '121_010719', '185_010719',\n",
-       "       '186_010719', '106_050619', '168_050619', '231_050619',\n",
-       "       '232_050619', '233_050619', '379_150319', '609_120619',\n",
-       "       '658_120619', '615_290519', '616_290519', '666_290519',\n",
-       "       '667_290519', '179_290519', '214_290519', '278_290519',\n",
-       "       '279_290519', '317_290519', '613_200619', '661_200619',\n",
-       "       '361_010319', '362_010319', '168_120619', '233_120619',\n",
-       "       '243_120619', '851_060319', '357_220319', '358_220319',\n",
-       "       '359_220319', '332_060319', '338_060319', '655_060619',\n",
-       "       '715_110319', '8_020719', '56_020719', '57_020719', '58_020719',\n",
-       "       '129_020719', '130_020719', '132_020719', '23_200619',\n",
-       "       '174_200619', '250_200619', '251_200619', '252_200619',\n",
-       "       '253_200619', '304_200619', '932_280219'], dtype=object)"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "baseline_ids"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "stimulated_11_sub = stimulated_11[stimulated_11.unit_day.isin(baseline_ids)]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "baseline_ids_11 = stimulated_11_sub.unit_day.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "baseline_i_sub = baseline_i[baseline_i.unit_day.isin(baseline_ids_11)]"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -955,7 +394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -977,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -991,7 +430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1023,7 +462,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1052,10 +491,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {
-    "scrolled": false
-   },
+   "execution_count": 21,
+   "metadata": {},
    "outputs": [],
    "source": [
     "def compute_field_spikes(row, plot=False, z1=5e-3, z2=11e-3, surrogate_fields=None):\n",
@@ -1074,6 +511,7 @@
     "    \n",
     "    stim_spikes = []\n",
     "    stim_in_field_indices = []\n",
+    "    # set z1 and z2 to be after the response: z1=12e3 - z2=60e3\n",
     "    if stim_times is not None:\n",
     "        for t in stim_times:\n",
     "            idx = np.searchsorted(spikes, [t + z1, t + z2], side='right')\n",
@@ -1136,7 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1230,10 +668,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 307,
-   "metadata": {
-    "scrolled": false
-   },
+   "execution_count": 23,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -1249,15 +685,15 @@
        " [])"
       ]
      },
-     "execution_count": 307,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {},
@@ -1268,6 +704,104 @@
     " compute_field_spikes(baseline_i.sort_values('gridness', ascending=False).iloc[18], plot=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Compare individual cells across sessions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline_ids = baseline_i.unit_day.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['30_260619', '31_260619', '32_260619', '78_260619', '79_260619',\n",
+       "       '150_260619', '205_260619', '243_260619', '263_260619',\n",
+       "       '265_260619', '45_010719', '46_010719', '47_010719', '49_010719',\n",
+       "       '96_010719', '118_010719', '121_010719', '185_010719',\n",
+       "       '186_010719', '106_050619', '168_050619', '231_050619',\n",
+       "       '232_050619', '233_050619', '379_150319', '609_120619',\n",
+       "       '658_120619', '615_290519', '616_290519', '666_290519',\n",
+       "       '667_290519', '179_290519', '214_290519', '278_290519',\n",
+       "       '279_290519', '317_290519', '613_200619', '661_200619',\n",
+       "       '361_010319', '362_010319', '168_120619', '233_120619',\n",
+       "       '243_120619', '851_060319', '357_220319', '358_220319',\n",
+       "       '359_220319', '332_060319', '338_060319', '655_060619',\n",
+       "       '715_110319', '8_020719', '56_020719', '57_020719', '58_020719',\n",
+       "       '129_020719', '130_020719', '132_020719', '23_200619',\n",
+       "       '174_200619', '250_200619', '251_200619', '252_200619',\n",
+       "       '253_200619', '304_200619', '932_280219'], dtype=object)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "baseline_ids"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stimulated_11_sub = stimulated_11[stimulated_11.unit_day.isin(baseline_ids)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "22"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(stimulated_11_sub)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline_ids_11 = stimulated_11_sub.unit_day.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "baseline_i_sub = baseline_i[baseline_i.unit_day.isin(baseline_ids_11)]"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 207,
@@ -2045,7 +1579,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -2085,7 +1619,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2102,14 +1636,16 @@
     "    \n",
     "    results_stim_stim_11.append({\n",
     "        'base_in_field': 1 - base_in_field.mean(),\n",
-    "        'stim_in_field': 1 - stim_in_field.mean()\n",
+    "        'stim_in_field': 1 - stim_in_field.mean(),\n",
+    "        'entity': row_stim.action.split('-')[0],\n",
+    "        'unit_idnum': row_stim.unit_idnum\n",
     "    })\n",
     "#     break"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 87,
    "metadata": {},
    "outputs": [
     {
@@ -2135,87 +1671,468 @@
        "      \n",
        "      base_in_field\n",
        "      stim_in_field\n",
+       "      entity\n",
+       "      unit_idnum\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      0\n",
-       "      0.615038\n",
-       "      0.678867\n",
+       "      0.578947\n",
+       "      0.588235\n",
+       "      1833\n",
+       "      13\n",
        "    \n",
        "    \n",
        "      1\n",
-       "      0.620690\n",
-       "      0.727273\n",
+       "      0.520950\n",
+       "      0.532093\n",
+       "      1833\n",
+       "      14\n",
        "    \n",
        "    \n",
        "      2\n",
-       "      0.662100\n",
-       "      0.739712\n",
+       "      0.355422\n",
+       "      0.388792\n",
+       "      1833\n",
+       "      32\n",
        "    \n",
        "    \n",
        "      3\n",
-       "      0.437500\n",
-       "      0.699267\n",
+       "      0.519512\n",
+       "      0.555294\n",
+       "      1833\n",
+       "      35\n",
        "    \n",
        "    \n",
        "      4\n",
-       "      0.728571\n",
-       "      0.741722\n",
+       "      0.270492\n",
+       "      0.342569\n",
+       "      1833\n",
+       "      47\n",
        "    \n",
        "    \n",
-       "      ...\n",
-       "      ...\n",
-       "      ...\n",
+       "      5\n",
+       "      0.266667\n",
+       "      0.441860\n",
+       "      1833\n",
+       "      53\n",
        "    \n",
        "    \n",
-       "      56\n",
+       "      6\n",
        "      0.283505\n",
        "      0.316288\n",
+       "      1833\n",
+       "      55\n",
        "    \n",
        "    \n",
-       "      57\n",
+       "      7\n",
+       "      0.434084\n",
+       "      0.463719\n",
+       "      1833\n",
+       "      58\n",
+       "    \n",
+       "    \n",
+       "      8\n",
+       "      0.224852\n",
+       "      0.297101\n",
+       "      1833\n",
+       "      59\n",
+       "    \n",
+       "    \n",
+       "      9\n",
+       "      0.548822\n",
+       "      0.580769\n",
+       "      1833\n",
+       "      79\n",
+       "    \n",
+       "    \n",
+       "      10\n",
+       "      0.793205\n",
+       "      0.788756\n",
+       "      1833\n",
+       "      89\n",
+       "    \n",
+       "    \n",
+       "      11\n",
+       "      0.583744\n",
+       "      0.646545\n",
+       "      1833\n",
+       "      91\n",
+       "    \n",
+       "    \n",
+       "      12\n",
        "      0.596752\n",
        "      0.638956\n",
+       "      1833\n",
+       "      96\n",
        "    \n",
        "    \n",
-       "      58\n",
+       "      13\n",
+       "      0.362745\n",
+       "      0.332192\n",
+       "      1833\n",
+       "      106\n",
+       "    \n",
+       "    \n",
+       "      14\n",
+       "      0.221698\n",
+       "      0.196532\n",
+       "      1833\n",
+       "      108\n",
+       "    \n",
+       "    \n",
+       "      15\n",
+       "      0.380228\n",
+       "      0.369403\n",
+       "      1833\n",
+       "      117\n",
+       "    \n",
+       "    \n",
+       "      16\n",
        "      0.311111\n",
        "      0.359195\n",
+       "      1833\n",
+       "      121\n",
        "    \n",
        "    \n",
-       "      59\n",
+       "      17\n",
        "      0.558739\n",
        "      0.601518\n",
+       "      1833\n",
+       "      124\n",
        "    \n",
        "    \n",
-       "      60\n",
+       "      18\n",
        "      0.552529\n",
        "      0.629842\n",
+       "      1833\n",
+       "      128\n",
+       "    \n",
+       "    \n",
+       "      19\n",
+       "      0.486025\n",
+       "      0.488651\n",
+       "      1833\n",
+       "      130\n",
+       "    \n",
+       "    \n",
+       "      20\n",
+       "      0.307018\n",
+       "      0.353147\n",
+       "      1833\n",
+       "      134\n",
+       "    \n",
+       "    \n",
+       "      21\n",
+       "      0.549242\n",
+       "      0.541608\n",
+       "      1833\n",
+       "      135\n",
+       "    \n",
+       "    \n",
+       "      22\n",
+       "      0.509740\n",
+       "      0.584600\n",
+       "      1833\n",
+       "      144\n",
+       "    \n",
+       "    \n",
+       "      23\n",
+       "      0.646943\n",
+       "      0.682283\n",
+       "      1833\n",
+       "      150\n",
+       "    \n",
+       "    \n",
+       "      24\n",
+       "      0.293333\n",
+       "      0.336066\n",
+       "      1833\n",
+       "      168\n",
+       "    \n",
+       "    \n",
+       "      25\n",
+       "      0.589450\n",
+       "      0.633227\n",
+       "      1833\n",
+       "      171\n",
+       "    \n",
+       "    \n",
+       "      26\n",
+       "      0.302857\n",
+       "      0.409681\n",
+       "      1833\n",
+       "      202\n",
+       "    \n",
+       "    \n",
+       "      27\n",
+       "      0.449915\n",
+       "      0.528596\n",
+       "      1833\n",
+       "      206\n",
+       "    \n",
+       "    \n",
+       "      28\n",
+       "      0.520548\n",
+       "      0.631447\n",
+       "      1833\n",
+       "      231\n",
+       "    \n",
+       "    \n",
+       "      29\n",
+       "      0.552017\n",
+       "      0.578132\n",
+       "      1833\n",
+       "      232\n",
+       "    \n",
+       "    \n",
+       "      30\n",
+       "      0.492248\n",
+       "      0.606518\n",
+       "      1833\n",
+       "      233\n",
+       "    \n",
+       "    \n",
+       "      31\n",
+       "      0.421687\n",
+       "      0.512640\n",
+       "      1833\n",
+       "      243\n",
+       "    \n",
+       "    \n",
+       "      32\n",
+       "      0.335135\n",
+       "      0.407634\n",
+       "      1833\n",
+       "      244\n",
+       "    \n",
+       "    \n",
+       "      33\n",
+       "      0.191011\n",
+       "      0.323232\n",
+       "      1833\n",
+       "      253\n",
+       "    \n",
+       "    \n",
+       "      34\n",
+       "      0.520000\n",
+       "      0.604046\n",
+       "      1833\n",
+       "      254\n",
+       "    \n",
+       "    \n",
+       "      35\n",
+       "      0.000000\n",
+       "      0.417722\n",
+       "      1833\n",
+       "      257\n",
+       "    \n",
+       "    \n",
+       "      36\n",
+       "      0.462209\n",
+       "      0.550383\n",
+       "      1833\n",
+       "      301\n",
+       "    \n",
+       "    \n",
+       "      37\n",
+       "      0.516517\n",
+       "      0.583713\n",
+       "      1833\n",
+       "      304\n",
+       "    \n",
+       "    \n",
+       "      38\n",
+       "      0.545261\n",
+       "      0.652083\n",
+       "      1834\n",
+       "      329\n",
+       "    \n",
+       "    \n",
+       "      39\n",
+       "      0.662100\n",
+       "      0.739712\n",
+       "      1834\n",
+       "      357\n",
+       "    \n",
+       "    \n",
+       "      40\n",
+       "      0.437500\n",
+       "      0.699267\n",
+       "      1834\n",
+       "      358\n",
+       "    \n",
+       "    \n",
+       "      41\n",
+       "      0.304348\n",
+       "      0.391960\n",
+       "      1834\n",
+       "      361\n",
+       "    \n",
+       "    \n",
+       "      42\n",
+       "      0.759146\n",
+       "      0.797188\n",
+       "      1834\n",
+       "      364\n",
+       "    \n",
+       "    \n",
+       "      43\n",
+       "      0.492500\n",
+       "      0.576505\n",
+       "      1834\n",
+       "      381\n",
+       "    \n",
+       "    \n",
+       "      44\n",
+       "      0.728571\n",
+       "      0.741722\n",
+       "      1834\n",
+       "      482\n",
+       "    \n",
+       "    \n",
+       "      45\n",
+       "      0.758725\n",
+       "      0.782228\n",
+       "      1834\n",
+       "      518\n",
+       "    \n",
+       "    \n",
+       "      46\n",
+       "      0.591232\n",
+       "      0.682730\n",
+       "      1839\n",
+       "      611\n",
+       "    \n",
+       "    \n",
+       "      47\n",
+       "      0.709712\n",
+       "      0.744382\n",
+       "      1839\n",
+       "      617\n",
+       "    \n",
+       "    \n",
+       "      48\n",
+       "      0.464286\n",
+       "      0.582278\n",
+       "      1839\n",
+       "      629\n",
+       "    \n",
+       "    \n",
+       "      49\n",
+       "      0.622912\n",
+       "      0.691063\n",
+       "      1839\n",
+       "      645\n",
+       "    \n",
+       "    \n",
+       "      50\n",
+       "      0.615038\n",
+       "      0.678867\n",
+       "      1839\n",
+       "      655\n",
+       "    \n",
+       "    \n",
+       "      51\n",
+       "      0.225806\n",
+       "      0.413793\n",
+       "      1839\n",
+       "      671\n",
+       "    \n",
+       "    \n",
+       "      52\n",
+       "      0.724315\n",
+       "      0.770170\n",
+       "      1849\n",
+       "      684\n",
+       "    \n",
+       "    \n",
+       "      53\n",
+       "      0.620690\n",
+       "      0.727273\n",
+       "      1849\n",
+       "      715\n",
+       "    \n",
+       "    \n",
+       "      54\n",
+       "      0.588158\n",
+       "      0.623261\n",
+       "      1849\n",
+       "      724\n",
+       "    \n",
+       "    \n",
+       "      55\n",
+       "      0.669880\n",
+       "      0.686826\n",
+       "      1849\n",
+       "      937\n",
        "    \n",
        "  \n",
        "\n",
-       "
61 rows × 2 columns
\n",
        "
"
       ],
       "text/plain": [
-       "    base_in_field  stim_in_field\n",
-       "0        0.615038       0.678867\n",
-       "1        0.620690       0.727273\n",
-       "2        0.662100       0.739712\n",
-       "3        0.437500       0.699267\n",
-       "4        0.728571       0.741722\n",
-       "..            ...            ...\n",
-       "56       0.283505       0.316288\n",
-       "57       0.596752       0.638956\n",
-       "58       0.311111       0.359195\n",
-       "59       0.558739       0.601518\n",
-       "60       0.552529       0.629842\n",
-       "\n",
-       "[61 rows x 2 columns]"
+       "    base_in_field  stim_in_field entity  unit_idnum\n",
+       "0        0.578947       0.588235   1833          13\n",
+       "1        0.520950       0.532093   1833          14\n",
+       "2        0.355422       0.388792   1833          32\n",
+       "3        0.519512       0.555294   1833          35\n",
+       "4        0.270492       0.342569   1833          47\n",
+       "5        0.266667       0.441860   1833          53\n",
+       "6        0.283505       0.316288   1833          55\n",
+       "7        0.434084       0.463719   1833          58\n",
+       "8        0.224852       0.297101   1833          59\n",
+       "9        0.548822       0.580769   1833          79\n",
+       "10       0.793205       0.788756   1833          89\n",
+       "11       0.583744       0.646545   1833          91\n",
+       "12       0.596752       0.638956   1833          96\n",
+       "13       0.362745       0.332192   1833         106\n",
+       "14       0.221698       0.196532   1833         108\n",
+       "15       0.380228       0.369403   1833         117\n",
+       "16       0.311111       0.359195   1833         121\n",
+       "17       0.558739       0.601518   1833         124\n",
+       "18       0.552529       0.629842   1833         128\n",
+       "19       0.486025       0.488651   1833         130\n",
+       "20       0.307018       0.353147   1833         134\n",
+       "21       0.549242       0.541608   1833         135\n",
+       "22       0.509740       0.584600   1833         144\n",
+       "23       0.646943       0.682283   1833         150\n",
+       "24       0.293333       0.336066   1833         168\n",
+       "25       0.589450       0.633227   1833         171\n",
+       "26       0.302857       0.409681   1833         202\n",
+       "27       0.449915       0.528596   1833         206\n",
+       "28       0.520548       0.631447   1833         231\n",
+       "29       0.552017       0.578132   1833         232\n",
+       "30       0.492248       0.606518   1833         233\n",
+       "31       0.421687       0.512640   1833         243\n",
+       "32       0.335135       0.407634   1833         244\n",
+       "33       0.191011       0.323232   1833         253\n",
+       "34       0.520000       0.604046   1833         254\n",
+       "35       0.000000       0.417722   1833         257\n",
+       "36       0.462209       0.550383   1833         301\n",
+       "37       0.516517       0.583713   1833         304\n",
+       "38       0.545261       0.652083   1834         329\n",
+       "39       0.662100       0.739712   1834         357\n",
+       "40       0.437500       0.699267   1834         358\n",
+       "41       0.304348       0.391960   1834         361\n",
+       "42       0.759146       0.797188   1834         364\n",
+       "43       0.492500       0.576505   1834         381\n",
+       "44       0.728571       0.741722   1834         482\n",
+       "45       0.758725       0.782228   1834         518\n",
+       "46       0.591232       0.682730   1839         611\n",
+       "47       0.709712       0.744382   1839         617\n",
+       "48       0.464286       0.582278   1839         629\n",
+       "49       0.622912       0.691063   1839         645\n",
+       "50       0.615038       0.678867   1839         655\n",
+       "51       0.225806       0.413793   1839         671\n",
+       "52       0.724315       0.770170   1849         684\n",
+       "53       0.620690       0.727273   1849         715\n",
+       "54       0.588158       0.623261   1849         724\n",
+       "55       0.669880       0.686826   1849         937"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2227,7 +2144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2244,14 +2161,16 @@
     "    \n",
     "    results_stim_stim_30.append({\n",
     "        'base_in_field': 1 - base_in_field.mean(),\n",
-    "        'stim_in_field': 1 - stim_in_field.mean()\n",
+    "        'stim_in_field': 1 - stim_in_field.mean(),\n",
+    "        'entity': row_stim.action.split('-')[0],\n",
+    "        'unit_idnum': row_stim.unit_idnum\n",
     "    })\n",
     "#     break"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 90,
    "metadata": {
     "scrolled": true
    },
@@ -2279,258 +2198,300 @@
        "      \n",
        "      base_in_field\n",
        "      stim_in_field\n",
+       "      entity\n",
+       "      unit_idnum\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      0\n",
-       "      0.444444\n",
-       "      0.400000\n",
+       "      0.509735\n",
+       "      0.528025\n",
+       "      1833\n",
+       "      13\n",
        "    \n",
        "    \n",
        "      1\n",
-       "      0.220588\n",
-       "      0.321023\n",
+       "      0.522109\n",
+       "      0.571429\n",
+       "      1833\n",
+       "      26\n",
        "    \n",
        "    \n",
        "      2\n",
-       "      0.511504\n",
-       "      0.579270\n",
+       "      0.402010\n",
+       "      0.466478\n",
+       "      1833\n",
+       "      31\n",
        "    \n",
        "    \n",
        "      3\n",
-       "      0.640244\n",
-       "      0.636975\n",
+       "      0.329670\n",
+       "      0.273570\n",
+       "      1833\n",
+       "      32\n",
        "    \n",
        "    \n",
        "      4\n",
-       "      0.370968\n",
-       "      0.378876\n",
+       "      0.455128\n",
+       "      0.426690\n",
+       "      1833\n",
+       "      35\n",
        "    \n",
        "    \n",
        "      5\n",
-       "      0.687144\n",
-       "      0.675090\n",
+       "      0.535645\n",
+       "      0.536465\n",
+       "      1833\n",
+       "      61\n",
        "    \n",
        "    \n",
        "      6\n",
-       "      0.509735\n",
-       "      0.528025\n",
+       "      0.391549\n",
+       "      0.433108\n",
+       "      1833\n",
+       "      63\n",
        "    \n",
        "    \n",
        "      7\n",
-       "      0.535645\n",
-       "      0.536465\n",
+       "      0.421053\n",
+       "      0.421569\n",
+       "      1833\n",
+       "      86\n",
        "    \n",
        "    \n",
        "      8\n",
-       "      0.391549\n",
-       "      0.433108\n",
+       "      0.555556\n",
+       "      0.599616\n",
+       "      1833\n",
+       "      149\n",
        "    \n",
        "    \n",
        "      9\n",
-       "      0.524590\n",
-       "      0.655920\n",
+       "      0.292683\n",
+       "      0.357735\n",
+       "      1833\n",
+       "      168\n",
        "    \n",
        "    \n",
        "      10\n",
-       "      0.568627\n",
-       "      0.543882\n",
+       "      0.524590\n",
+       "      0.655920\n",
+       "      1833\n",
+       "      195\n",
        "    \n",
        "    \n",
        "      11\n",
-       "      0.574074\n",
-       "      0.648464\n",
+       "      0.484375\n",
+       "      0.461538\n",
+       "      1833\n",
+       "      210\n",
        "    \n",
        "    \n",
        "      12\n",
-       "      0.522109\n",
-       "      0.571429\n",
+       "      0.537879\n",
+       "      0.569832\n",
+       "      1833\n",
+       "      218\n",
        "    \n",
        "    \n",
        "      13\n",
-       "      0.555556\n",
-       "      0.599616\n",
+       "      0.187500\n",
+       "      0.328277\n",
+       "      1833\n",
+       "      234\n",
        "    \n",
        "    \n",
        "      14\n",
-       "      0.188235\n",
-       "      0.310062\n",
+       "      0.562500\n",
+       "      0.560521\n",
+       "      1833\n",
+       "      240\n",
        "    \n",
        "    \n",
        "      15\n",
-       "      0.325301\n",
-       "      0.510780\n",
+       "      0.540453\n",
+       "      0.692541\n",
+       "      1833\n",
+       "      248\n",
        "    \n",
        "    \n",
        "      16\n",
-       "      0.685393\n",
-       "      0.736201\n",
+       "      0.612903\n",
+       "      0.649031\n",
+       "      1833\n",
+       "      249\n",
        "    \n",
        "    \n",
        "      17\n",
-       "      0.565046\n",
-       "      0.621489\n",
+       "      0.188235\n",
+       "      0.310062\n",
+       "      1833\n",
+       "      253\n",
        "    \n",
        "    \n",
        "      18\n",
-       "      0.457364\n",
-       "      0.553879\n",
+       "      0.325301\n",
+       "      0.510780\n",
+       "      1833\n",
+       "      260\n",
        "    \n",
        "    \n",
        "      19\n",
-       "      0.485961\n",
-       "      0.522303\n",
+       "      0.685393\n",
+       "      0.736201\n",
+       "      1833\n",
+       "      261\n",
        "    \n",
        "    \n",
        "      20\n",
-       "      0.402010\n",
-       "      0.466478\n",
+       "      0.736328\n",
+       "      0.723063\n",
+       "      1833\n",
+       "      263\n",
        "    \n",
        "    \n",
        "      21\n",
-       "      0.329670\n",
-       "      0.273570\n",
+       "      0.602041\n",
+       "      0.472362\n",
+       "      1833\n",
+       "      274\n",
        "    \n",
        "    \n",
        "      22\n",
-       "      0.455128\n",
-       "      0.426690\n",
+       "      0.570312\n",
+       "      0.699342\n",
+       "      1833\n",
+       "      275\n",
        "    \n",
        "    \n",
        "      23\n",
-       "      0.421053\n",
-       "      0.421569\n",
+       "      0.565046\n",
+       "      0.621489\n",
+       "      1833\n",
+       "      304\n",
        "    \n",
        "    \n",
        "      24\n",
-       "      0.484375\n",
-       "      0.461538\n",
+       "      0.485961\n",
+       "      0.522303\n",
+       "      1834\n",
+       "      332\n",
        "    \n",
        "    \n",
        "      25\n",
-       "      0.736328\n",
-       "      0.723063\n",
+       "      0.574074\n",
+       "      0.648464\n",
+       "      1834\n",
+       "      360\n",
        "    \n",
        "    \n",
        "      26\n",
-       "      0.602041\n",
-       "      0.472362\n",
+       "      0.568627\n",
+       "      0.543882\n",
+       "      1834\n",
+       "      381\n",
        "    \n",
        "    \n",
        "      27\n",
-       "      0.570312\n",
-       "      0.699342\n",
+       "      0.444444\n",
+       "      0.400000\n",
+       "      1839\n",
+       "      577\n",
        "    \n",
        "    \n",
        "      28\n",
-       "      0.292683\n",
-       "      0.357735\n",
+       "      0.220588\n",
+       "      0.321023\n",
+       "      1839\n",
+       "      629\n",
        "    \n",
        "    \n",
        "      29\n",
-       "      0.517162\n",
-       "      0.671468\n",
+       "      0.525164\n",
+       "      0.579110\n",
+       "      1839\n",
+       "      655\n",
        "    \n",
        "    \n",
        "      30\n",
-       "      0.187500\n",
-       "      0.328277\n",
+       "      0.317073\n",
+       "      0.383289\n",
+       "      1839\n",
+       "      656\n",
        "    \n",
        "    \n",
        "      31\n",
-       "      0.562500\n",
-       "      0.560521\n",
+       "      0.640244\n",
+       "      0.636975\n",
+       "      1839\n",
+       "      659\n",
        "    \n",
        "    \n",
        "      32\n",
-       "      0.540453\n",
-       "      0.692541\n",
+       "      0.370968\n",
+       "      0.378876\n",
+       "      1839\n",
+       "      660\n",
        "    \n",
        "    \n",
        "      33\n",
-       "      0.612903\n",
-       "      0.649031\n",
+       "      0.687144\n",
+       "      0.675090\n",
+       "      1849\n",
+       "      724\n",
        "    \n",
        "    \n",
        "      34\n",
-       "      0.537879\n",
-       "      0.569832\n",
-       "    \n",
-       "    \n",
-       "      35\n",
-       "      0.525164\n",
-       "      0.579110\n",
-       "    \n",
-       "    \n",
-       "      36\n",
-       "      0.317073\n",
-       "      0.383289\n",
-       "    \n",
-       "    \n",
-       "      37\n",
-       "      0.354167\n",
-       "      0.363636\n",
-       "    \n",
-       "    \n",
-       "      38\n",
-       "      0.458333\n",
-       "      0.446855\n",
-       "    \n",
-       "    \n",
-       "      39\n",
-       "      0.526316\n",
-       "      0.660650\n",
+       "      0.457364\n",
+       "      0.553879\n",
+       "      1849\n",
+       "      835\n",
        "    \n",
        "  \n",
        "\n",
        "
"
       ],
       "text/plain": [
-       "    base_in_field  stim_in_field\n",
-       "0        0.444444       0.400000\n",
-       "1        0.220588       0.321023\n",
-       "2        0.511504       0.579270\n",
-       "3        0.640244       0.636975\n",
-       "4        0.370968       0.378876\n",
-       "5        0.687144       0.675090\n",
-       "6        0.509735       0.528025\n",
-       "7        0.535645       0.536465\n",
-       "8        0.391549       0.433108\n",
-       "9        0.524590       0.655920\n",
-       "10       0.568627       0.543882\n",
-       "11       0.574074       0.648464\n",
-       "12       0.522109       0.571429\n",
-       "13       0.555556       0.599616\n",
-       "14       0.188235       0.310062\n",
-       "15       0.325301       0.510780\n",
-       "16       0.685393       0.736201\n",
-       "17       0.565046       0.621489\n",
-       "18       0.457364       0.553879\n",
-       "19       0.485961       0.522303\n",
-       "20       0.402010       0.466478\n",
-       "21       0.329670       0.273570\n",
-       "22       0.455128       0.426690\n",
-       "23       0.421053       0.421569\n",
-       "24       0.484375       0.461538\n",
-       "25       0.736328       0.723063\n",
-       "26       0.602041       0.472362\n",
-       "27       0.570312       0.699342\n",
-       "28       0.292683       0.357735\n",
-       "29       0.517162       0.671468\n",
-       "30       0.187500       0.328277\n",
-       "31       0.562500       0.560521\n",
-       "32       0.540453       0.692541\n",
-       "33       0.612903       0.649031\n",
-       "34       0.537879       0.569832\n",
-       "35       0.525164       0.579110\n",
-       "36       0.317073       0.383289\n",
-       "37       0.354167       0.363636\n",
-       "38       0.458333       0.446855\n",
-       "39       0.526316       0.660650"
+       "    base_in_field  stim_in_field entity  unit_idnum\n",
+       "0        0.509735       0.528025   1833          13\n",
+       "1        0.522109       0.571429   1833          26\n",
+       "2        0.402010       0.466478   1833          31\n",
+       "3        0.329670       0.273570   1833          32\n",
+       "4        0.455128       0.426690   1833          35\n",
+       "5        0.535645       0.536465   1833          61\n",
+       "6        0.391549       0.433108   1833          63\n",
+       "7        0.421053       0.421569   1833          86\n",
+       "8        0.555556       0.599616   1833         149\n",
+       "9        0.292683       0.357735   1833         168\n",
+       "10       0.524590       0.655920   1833         195\n",
+       "11       0.484375       0.461538   1833         210\n",
+       "12       0.537879       0.569832   1833         218\n",
+       "13       0.187500       0.328277   1833         234\n",
+       "14       0.562500       0.560521   1833         240\n",
+       "15       0.540453       0.692541   1833         248\n",
+       "16       0.612903       0.649031   1833         249\n",
+       "17       0.188235       0.310062   1833         253\n",
+       "18       0.325301       0.510780   1833         260\n",
+       "19       0.685393       0.736201   1833         261\n",
+       "20       0.736328       0.723063   1833         263\n",
+       "21       0.602041       0.472362   1833         274\n",
+       "22       0.570312       0.699342   1833         275\n",
+       "23       0.565046       0.621489   1833         304\n",
+       "24       0.485961       0.522303   1834         332\n",
+       "25       0.574074       0.648464   1834         360\n",
+       "26       0.568627       0.543882   1834         381\n",
+       "27       0.444444       0.400000   1839         577\n",
+       "28       0.220588       0.321023   1839         629\n",
+       "29       0.525164       0.579110   1839         655\n",
+       "30       0.317073       0.383289   1839         656\n",
+       "31       0.640244       0.636975   1839         659\n",
+       "32       0.370968       0.378876   1839         660\n",
+       "33       0.687144       0.675090   1849         724\n",
+       "34       0.457364       0.553879   1849         835"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2542,7 +2503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 91,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2551,12 +2512,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "
"
       ]
@@ -2568,7 +2529,7 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "
"
       ]
@@ -2580,7 +2541,7 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "
"
       ]
@@ -2604,7 +2565,7 @@
     "    results_stim_stim_all.base_in_field, \n",
     "    results_stim_stim_all.stim_in_field, \n",
     "    colors=None,\n",
-    "    test='wilcoxon'\n",
+    "    draw_significance=False\n",
     ")\n",
     "figname = 'stim_field_spikes_combined'\n",
     "fig.savefig(\n",
@@ -2620,7 +2581,7 @@
     "    results_stim_stim_11.base_in_field, \n",
     "    results_stim_stim_11.stim_in_field, \n",
     "    colors=['#1b9e77','#d95f02'],\n",
-    "    test='wilcoxon'\n",
+    "    draw_significance=False\n",
     ")\n",
     "figname = 'stim_field_spikes_11'\n",
     "fig.savefig(\n",
@@ -2636,7 +2597,7 @@
     "    results_stim_stim_30.base_in_field, \n",
     "    results_stim_stim_30.stim_in_field, \n",
     "    colors=['#7570b3', '#e7298a'],\n",
-    "    test='wilcoxon'\n",
+    "    draw_significance=False\n",
     ")\n",
     "figname = 'stim_field_spikes_30'\n",
     "fig.savefig(\n",
@@ -2650,229 +2611,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [],
    "source": [
-    "def summarize(data):\n",
-    "    return \"{:.2f} ± {:.2f} ({})\".format(data.mean(), data.sem(), sum(~np.isnan(data)))\n",
-    "\n",
-    "\n",
-    "def Wilcoxon(df, keys):\n",
-    "    '''\n",
-    "    Wilcoxon\n",
-    "    '''\n",
-    "    Uvalue, pvalue = scipy.stats.wilcoxon(\n",
-    "        df[keys[0]].dropna(), \n",
-    "        df[keys[1]].dropna(),\n",
-    "        alternative='two-sided')\n",
-    "\n",
-    "    return \"{:.2f}, {:.3f}\".format(Uvalue, pvalue)"
+    "results_all = {\n",
+    "    'Combined':results_stim_stim_all,\n",
+    "    '11 Hz': results_stim_stim_11,\n",
+    "    '30 Hz': results_stim_stim_30\n",
+    "}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'0.48 ± 0.02 (101)'"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "results_stim_stim_all.base_in_field.agg(summarize)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 49,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
\n",
-       "\n",
-       "\n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "  \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "    \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "      \n",
-       "    \n",
-       "  \n",
-       "
Combined11 Hz30 Hz
base_in_field0.48 ± 0.02 (101)0.47 ± 0.02 (61)0.48 ± 0.02 (40)
stim_in_field0.54 ± 0.01 (101)0.54 ± 0.02 (61)0.52 ± 0.02 (40)
MWU380.00, 0.000NaNNaN
\n",
-       "
"
-      ],
-      "text/plain": [
-       "                        Combined             11 Hz             30 Hz\n",
-       "base_in_field  0.48 ± 0.02 (101)  0.47 ± 0.02 (61)  0.48 ± 0.02 (40)\n",
-       "stim_in_field  0.54 ± 0.01 (101)  0.54 ± 0.02 (61)  0.52 ± 0.02 (40)\n",
-       "MWU                380.00, 0.000               NaN               NaN"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "stat = pd.DataFrame()\n",
-    "\n",
-    "stat['Combined'] = results_stim_stim_all.agg(summarize)\n",
-    "stat['11 Hz'] = results_stim_stim_11.agg(summarize)\n",
-    "stat['30 Hz'] = results_stim_stim_30.agg(summarize)\n",
-    "\n",
-    "stat.loc['W', 'Combined'] = Wilcoxon(results_stim_stim_all, ['base_in_field', 'stim_in_field'])\n",
-    "\n",
-    "stat\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# more in baseline than response"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 247,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=35.0, pvalue=6.155288245645252e-11)"
-      ]
-     },
-     "execution_count": 247,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 248,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=35.0, pvalue=3.077644122822626e-11)"
-      ]
-     },
-     "execution_count": 248,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field, alternative='less')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 249,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 249,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field).hist()"
+    "stat, _ = make_statistics_table(results_all, ['base_in_field', 'stim_in_field'])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 251,
+   "execution_count": 97,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.0628016121809225"
-      ]
-     },
-     "execution_count": 251,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "(results_stim_stim_11.base_in_field - results_stim_stim_11.stim_in_field).median()"
+    "stat.to_latex(output_path / \"statistics\" / \"statistics.tex\")\n",
+    "stat.to_csv(output_path / \"statistics\" / \"statistics.csv\")"
    ]
   },
   {
@@ -3143,295 +2909,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# more in baseline than response"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 190,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=12.0, pvalue=0.011007912955186742)"
-      ]
-     },
-     "execution_count": 190,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.base_in_field - results.stim_stim_in_field)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 191,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=93.0, pvalue=0.005503956477593371)"
-      ]
-     },
-     "execution_count": 191,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.base_in_field - results.stim_stim_in_field, alternative='greater')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 192,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 192,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(results.base_in_field - results.stim_stim_in_field).hist()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 153,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0.09670222033391301"
-      ]
-     },
-     "execution_count": 153,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "(results.base_in_field - results.stim_stim_in_field).median()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# more in baseline than total of stim"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 150,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=96.0, pvalue=0.32207523283525596)"
-      ]
-     },
-     "execution_count": 150,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.base_in_field - results.stim_in_field)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 151,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=157.0, pvalue=0.16103761641762798)"
-      ]
-     },
-     "execution_count": 151,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.base_in_field - results.stim_in_field, alternative='greater')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 152,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 152,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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blqdNq6NNqzMt7VjOtLTPe7eyub17945UQCnloSSPTnJxrfVjy6xzXZJ/muQ9tdZ/OUJd39y4ceMxJ510UmsRSZL5+fmRtgdgOuzatWuk7R944IHs3r37oVrrd7VsP8Se6OZ++vAK6+w8YN1WO3bv3p3t27dvP/iqAHBQJyfZ0brxECG6J6s/tzrSbm+t9cRRtgeAIQ1xYdG3+umRK6xzVD9tTnsAmDZDhOiD/fS4FdY5vp9+ZYD6AGAqDBGid/TT01ZYZ3HZXQPUBwBTYYgQvbWfPmuphaWUJyRZfMjCLQPUBwBTYYgQ/f1+en4ppSyx/JX99KZa670D1AcAU2HkEK213p3k2nSP/vtIKWXx4QsppVyS5A397FtHrQsApsnID1tIklLKcUk+k+SsdLe83J7ksemeUpQkv1BrvWrkigBgigwSosn/H1P0dUlemG5M0UfSDcp9da31I4NUAgBTZLAQBYD1ZqhBuQFg3RGiANBIiAJAIyEKAI2GGMWFKVRK+d4kb0rynCSPSfJAkk8meVut9UsDlH9ikm1JttVaf2jU8taCUsrmJK9P8uIkT0zyULor0H+t1vqHjWWekuQXkzwvyQlJvprkxiS/XGu9Y6VtZ904+nuJOj7Yl/+kWus9Q5S5Fo3ps/2MJK9Jcl6SE9MNibktyQfTjS29MEDTJ87VuTOolHJekv+WbmSdB5Pcl6SkGzz960kuqLV+foTyj0wXyM9JcvN6CNH+Fq4bkzwz3e1bf5lu0IXFR1peUWt9yyGWWZLc3JfzjSR3p7s97Nh04/P+k1rrpwb5AdaYcfT3EnW8Mslv9rPrNkTH9Nl+TZJ3pjvauTPdZ/v4JI/rV7k1yY/UWr858g8wYQ7nzphSyrFJPp4uQP9tkpNqrU9L9+G9Lt1DMK4rpWwaofzr0wXoevLudH9kPp/kjFrrD9RaT01yaZLdSa4opfzwagsrpWxM14/HJXl/uvfp6UlOSvLv071//6V/kMl6NGh/H6iU8tokvzFIS9e+oT/b5yZ5V7p8eUeSx9Zaz661Pj7JBUm+3Nf3H4b9MSZDiM6eV6cLyj+rtb6x1ro7SWqtDyX5iSRfTLe3c+mhFtz/Iv2fJM8drrnTr5RyRpJLknw7yUtrrdsXl9Va35/k7f3sFYdQ7CVJvifJ/Ul+uta6sy9vId17+D/SHYb/uVHbv9aMqb8Xyz6plPLhdH/k50Zv7do2pr5+Xbq+/a+11jfUWnftV+ZnkvxkP/viUsrJIzR/KgjR2XNZP/3tAxf0f6D/cz/7kkMptJRybZIb0h3i+ZPsOwy2Hrws3bOhP1tr3bbE8vf003P7c5yrcVk/ff+B54ZqrXuz77/0Q3qfZsQ4+jullIvTHVZ8QbrTGj8zakNnwDj6evEo1QeXWX5junOuSfK0VZY5tYToDCmlnJR9zyv+02VWu7mfnltKOeIQiv/BJF9L8qp0vyTraYD1xWH+luzT/kKt+/rZZx+ssFLKo5I8Y6Uys+99On0W/ls/RIP2937OTrI5yQeSbEl3Xn+9G8dn+0VJXpHuaMpS9j8CsGF1zZxers6dLYsj6OxN8lfLrHNvP51Pt1f5hVWWfUWSj9Zav5EkS496N7MW+3Wlvro33T8wT15FeY9PctRBytyebjCHDX2Z25dZbxYN3d+L/iTJ2bXW25OklHJaS+NmzKB9XWv9dpI/Oshqz0tyTP9668HKnHZCdLac0E+/uf95iAN8bb/Xx2eVIVprvWaEdq11i/361RXWWezX4w+hvGXLrLXuKaV8I92Vuqspc5YM3d9Jklrrp5tbNLvG0tfLKaU8Ot1Vu0nyv2bhNi4hOqVKKddk3wn41fgH6Q5VJd3tEcvZud/rzcuuxf4OpV9X06f7rzNUmbNk6P5meYetr/s7An4v3e12e5K8dpTypoVzorNlzyGu7ybh1TmUfl1Nn3qfVjZ0f7O8w9LXpZSjknw0yY/133p9rfXmFTZZM4To9PoX6c4brPbrL5J8q9/2yBXKPWq/1zuGbfLMOpR+XU2ffmu/10OVOUuG7m+WN/a+LqWckOTTSf5R/61fqrW+c4VN1hSHc6dUf05zufOaSyqlPNi/PKaUckSt9ZElVtv/vMZ6usJ2FA+mu/d2pQcfLPbravr0wf1eH5fkbw9coX8Yw987hDJnydD9zfLG2tellKemuwr6tHR7sj9fa33XoZYzzeyJzpbFk/SPyr5Hdh3otH76cNbXFZ+jWOzX01ZYZ3HZXQcrrNb65XSP+VupzJOz7/L/g5Y5Ywbtb1Y0tr4upZyf5JZ++4eTvHDWAjQRojOl1vr1dDeTJ/vu/zrQD/bTW2uth3pubr26tZ8u2aellCdk3z8tt6yyzP+5UpnZ9z7d14fuejKO/mZpY+nrUsqz0+2BPibd1b0X1Fo/PEI7p5YQnT2/109fceCC/uq4n+pnrzlcDZoBv99Pzy9L3yD7yn56U6313lWWufg+vXyZ5xgvlnnNKsubJePob5Y2eF+XUp6Y7vndRyX5v0nOrbV+dtSGTishOnuuTneO7bxSytWLf6BLKceke1LL6emen/uB/TcqpWwupTyl/3LbwH5qrXcnuTbd4dWPlFIWb1BPKeWSJG/oZ9964LallDP6Pj3pgEW/m+4e3dOTXNu/PymlbCqlXJ3kh9Id8v31oX+eaTem/mYJY+rr30p3Pn9nkotqrXUsjZ8SLiyaMbXWr5RSXpZuxJZXJXlpKeWL6e7NOiZdwD5/iYuOnpHkM/3r5yT548PT4jXj1UnO6r/uLKXcnu6CjMXHLP5CrfW/L7Hdjf0678u+5+Wm1vpwKeUl6Z5H/IIkP1pKuTP7hkJbSHJxrfVr31Hi+jBof7Oiwfq6lPK0dCO1JN3VvL9xkKebvW2osWEnxZ7oDKq1Xp/uwc4fSjc+4Penu5T9fUnOqbWu+UdtHW59mD0ryVvSXWDx1HRXNN6U5AW11qsayvxcuue5/na6f27OTjeaxnVJntmPeLEujaO/WdrAfb3/83WPS3LuQb7+/qjtnzSDcgNAI3uiANBIiAJAIyEKAI2EKAA0EqIA0EiIAkAjIQoAjYQoADQSogDQSIgCQCMhCgCNhCgANBKiANBIiAJAIyEKAI2EKAA0EqIA0EiIAkAjIQoAjf4foGd3amOjMqcAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(results.base_in_field - results.stim_in_field).hist()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# greater than chance"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 143,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=160.0, pvalue=0.13838602372323838)"
-      ]
-     },
-     "execution_count": 143,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.base_in_field - 0.5, alternative='greater') # most fall within the field"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 144,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 144,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(results.base_in_field - 0.5).hist()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 145,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "WilcoxonResult(statistic=101.0, pvalue=0.7961290925328811)"
-      ]
-     },
-     "execution_count": 145,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "wilcoxon(results.stim_stim_in_field - 0.5, alternative='greater') # most fall within the field"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 146,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       ""
-      ]
-     },
-     "execution_count": 146,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "(results.stim_stim_in_field - 0.5).hist()"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 139,
@@ -3479,746 +2956,6 @@
     "cb.set_label('Baseline gridness')"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 64,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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action_basebaseline_baseentity_basefrequency_basei_baseii_basesession_basestim_location_basestimulated_basetag_base...information_rate_stiminformation_specificity_stimhead_mean_ang_stimhead_mean_vec_len_stimspacing_stimorientation_stimt_e_peak_stimp_e_peak_stimt_i_peak_stimp_i_peak_stim
01833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.0667740.3024045.5390690.1035520.34214210.007980NaNNaNNaNNaN
11833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.5536750.1068605.2841250.1516400.36143014.743563NaNNaNNaNNaN
21833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.9148060.0855795.6505860.1020100.47780351.952957NaNNaNNaNNaN
31833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.6814610.1545062.6015500.0155700.3437840.000000NaNNaNNaNNaN
41833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...1.0219320.3491521.1964460.1371360.34440313.240520NaNNaNNaNNaN
51833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.7353410.0435883.4181230.0550510.40534846.468801NaNNaNNaNNaN
61833-010719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8576980.2697692.3403440.1376020.35131113.240520NaNNaNNaNNaN
71833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.4427800.5858542.3214380.2201390.3872575.440332NaNNaNNaNNaN
81833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8629730.1838970.0693310.0919810.3661469.462322NaNNaNNaNNaN
91833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8735610.1030533.6681890.0694080.43476270.559965NaNNaNNaNNaN
101833-050619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.6787980.0548023.7260410.0145190.3556656.009006NaNNaNNaNNaN
111834-010319-1True1834NaNTrueFalse1NaNFalsebaseline i...0.8586561.3591644.8087600.1759710.54752139.093859NaNNaNNaNNaN
121833-120619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8028340.4247485.0359400.1325870.3843578.972627NaNNaNNaNNaN
131833-120619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.9287960.1511463.4732570.0427330.39278411.309932NaNNaNNaNNaN
141834-220319-1True1834NaNTrueFalse1NaNFalsebaseline i...1.1740190.0593984.8153050.0310140.5901350.000000NaNNaNNaNNaN
151834-220319-1True1834NaNTrueFalse1NaNFalsebaseline i...1.9189540.6274024.2416430.0740060.70764729.054604NaNNaNNaNNaN
161839-060619-1True1839NaNTrueFalse1NaNFalsebaseline i...0.8970830.0602460.8917950.0301900.49148348.576334NaNNaNNaNNaN
171849-110319-1True1849NaNTrueFalse1NaNFalsebaseline i...0.3989430.1466480.2220760.1025390.64359826.565051NaNNaNNaNNaN
181833-020719-1True1833NaNTrueFalse1NaNFalsebaseline i...0.8764950.1153991.0121560.0033920.35624912.528808NaNNaNNaNNaN
191833-020719-1True1833NaNTrueFalse1NaNFalsebaseline i...1.4291780.1079375.3698240.0953420.3441019.462322NaNNaNNaNNaN
201833-200619-1True1833NaNTrueFalse1NaNFalsebaseline i...1.1928820.4271880.0391460.1990680.3904196.009006NaNNaNNaNNaN
211833-200619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.4110130.0378155.1070940.0296900.3749186.009006NaNNaNNaNNaN
\n",
-       "
22 rows × 87 columns
\n",
-       "
"
-      ],
-      "text/plain": [
-       "      action_base  baseline_base  entity_base  frequency_base  i_base  \\\n",
-       "0   1833-260619-1           True         1833             NaN    True   \n",
-       "1   1833-260619-1           True         1833             NaN    True   \n",
-       "2   1833-260619-1           True         1833             NaN    True   \n",
-       "3   1833-260619-1           True         1833             NaN    True   \n",
-       "4   1833-010719-1           True         1833             NaN    True   \n",
-       "5   1833-010719-1           True         1833             NaN    True   \n",
-       "6   1833-010719-1           True         1833             NaN    True   \n",
-       "7   1833-050619-1           True         1833             NaN    True   \n",
-       "8   1833-050619-1           True         1833             NaN    True   \n",
-       "9   1833-050619-1           True         1833             NaN    True   \n",
-       "10  1833-050619-1           True         1833             NaN    True   \n",
-       "11  1834-010319-1           True         1834             NaN    True   \n",
-       "12  1833-120619-1           True         1833             NaN    True   \n",
-       "13  1833-120619-1           True         1833             NaN    True   \n",
-       "14  1834-220319-1           True         1834             NaN    True   \n",
-       "15  1834-220319-1           True         1834             NaN    True   \n",
-       "16  1839-060619-1           True         1839             NaN    True   \n",
-       "17  1849-110319-1           True         1849             NaN    True   \n",
-       "18  1833-020719-1           True         1833             NaN    True   \n",
-       "19  1833-020719-1           True         1833             NaN    True   \n",
-       "20  1833-200619-1           True         1833             NaN    True   \n",
-       "21  1833-200619-1           True         1833             NaN    True   \n",
-       "\n",
-       "    ii_base  session_base stim_location_base  stimulated_base    tag_base  \\\n",
-       "0     False             1                NaN            False  baseline i   \n",
-       "1     False             1                NaN            False  baseline i   \n",
-       "2     False             1                NaN            False  baseline i   \n",
-       "3     False             1                NaN            False  baseline i   \n",
-       "4     False             1                NaN            False  baseline i   \n",
-       "5     False             1                NaN            False  baseline i   \n",
-       "6     False             1                NaN            False  baseline i   \n",
-       "7     False             1                NaN            False  baseline i   \n",
-       "8     False             1                NaN            False  baseline i   \n",
-       "9     False             1                NaN            False  baseline i   \n",
-       "10    False             1                NaN            False  baseline i   \n",
-       "11    False             1                NaN            False  baseline i   \n",
-       "12    False             1                NaN            False  baseline i   \n",
-       "13    False             1                NaN            False  baseline i   \n",
-       "14    False             1                NaN            False  baseline i   \n",
-       "15    False             1                NaN            False  baseline i   \n",
-       "16    False             1                NaN            False  baseline i   \n",
-       "17    False             1                NaN            False  baseline i   \n",
-       "18    False             1                NaN            False  baseline i   \n",
-       "19    False             1                NaN            False  baseline i   \n",
-       "20    False             1                NaN            False  baseline i   \n",
-       "21    False             1                NaN            False  baseline i   \n",
-       "\n",
-       "    ...  information_rate_stim information_specificity_stim  \\\n",
-       "0   ...               1.066774                     0.302404   \n",
-       "1   ...               0.553675                     0.106860   \n",
-       "2   ...               0.914806                     0.085579   \n",
-       "3   ...               0.681461                     0.154506   \n",
-       "4   ...               1.021932                     0.349152   \n",
-       "5   ...               0.735341                     0.043588   \n",
-       "6   ...               0.857698                     0.269769   \n",
-       "7   ...               1.442780                     0.585854   \n",
-       "8   ...               0.862973                     0.183897   \n",
-       "9   ...               0.873561                     0.103053   \n",
-       "10  ...               0.678798                     0.054802   \n",
-       "11  ...               0.858656                     1.359164   \n",
-       "12  ...               0.802834                     0.424748   \n",
-       "13  ...               0.928796                     0.151146   \n",
-       "14  ...               1.174019                     0.059398   \n",
-       "15  ...               1.918954                     0.627402   \n",
-       "16  ...               0.897083                     0.060246   \n",
-       "17  ...               0.398943                     0.146648   \n",
-       "18  ...               0.876495                     0.115399   \n",
-       "19  ...               1.429178                     0.107937   \n",
-       "20  ...               1.192882                     0.427188   \n",
-       "21  ...               0.411013                     0.037815   \n",
-       "\n",
-       "    head_mean_ang_stim  head_mean_vec_len_stim  spacing_stim  \\\n",
-       "0             5.539069                0.103552      0.342142   \n",
-       "1             5.284125                0.151640      0.361430   \n",
-       "2             5.650586                0.102010      0.477803   \n",
-       "3             2.601550                0.015570      0.343784   \n",
-       "4             1.196446                0.137136      0.344403   \n",
-       "5             3.418123                0.055051      0.405348   \n",
-       "6             2.340344                0.137602      0.351311   \n",
-       "7             2.321438                0.220139      0.387257   \n",
-       "8             0.069331                0.091981      0.366146   \n",
-       "9             3.668189                0.069408      0.434762   \n",
-       "10            3.726041                0.014519      0.355665   \n",
-       "11            4.808760                0.175971      0.547521   \n",
-       "12            5.035940                0.132587      0.384357   \n",
-       "13            3.473257                0.042733      0.392784   \n",
-       "14            4.815305                0.031014      0.590135   \n",
-       "15            4.241643                0.074006      0.707647   \n",
-       "16            0.891795                0.030190      0.491483   \n",
-       "17            0.222076                0.102539      0.643598   \n",
-       "18            1.012156                0.003392      0.356249   \n",
-       "19            5.369824                0.095342      0.344101   \n",
-       "20            0.039146                0.199068      0.390419   \n",
-       "21            5.107094                0.029690      0.374918   \n",
-       "\n",
-       "    orientation_stim  t_e_peak_stim p_e_peak_stim  t_i_peak_stim  \\\n",
-       "0          10.007980            NaN           NaN            NaN   \n",
-       "1          14.743563            NaN           NaN            NaN   \n",
-       "2          51.952957            NaN           NaN            NaN   \n",
-       "3           0.000000            NaN           NaN            NaN   \n",
-       "4          13.240520            NaN           NaN            NaN   \n",
-       "5          46.468801            NaN           NaN            NaN   \n",
-       "6          13.240520            NaN           NaN            NaN   \n",
-       "7           5.440332            NaN           NaN            NaN   \n",
-       "8           9.462322            NaN           NaN            NaN   \n",
-       "9          70.559965            NaN           NaN            NaN   \n",
-       "10          6.009006            NaN           NaN            NaN   \n",
-       "11         39.093859            NaN           NaN            NaN   \n",
-       "12          8.972627            NaN           NaN            NaN   \n",
-       "13         11.309932            NaN           NaN            NaN   \n",
-       "14          0.000000            NaN           NaN            NaN   \n",
-       "15         29.054604            NaN           NaN            NaN   \n",
-       "16         48.576334            NaN           NaN            NaN   \n",
-       "17         26.565051            NaN           NaN            NaN   \n",
-       "18         12.528808            NaN           NaN            NaN   \n",
-       "19          9.462322            NaN           NaN            NaN   \n",
-       "20          6.009006            NaN           NaN            NaN   \n",
-       "21          6.009006            NaN           NaN            NaN   \n",
-       "\n",
-       "    p_i_peak_stim  \n",
-       "0             NaN  \n",
-       "1             NaN  \n",
-       "2             NaN  \n",
-       "3             NaN  \n",
-       "4             NaN  \n",
-       "5             NaN  \n",
-       "6             NaN  \n",
-       "7             NaN  \n",
-       "8             NaN  \n",
-       "9             NaN  \n",
-       "10            NaN  \n",
-       "11            NaN  \n",
-       "12            NaN  \n",
-       "13            NaN  \n",
-       "14            NaN  \n",
-       "15            NaN  \n",
-       "16            NaN  \n",
-       "17            NaN  \n",
-       "18            NaN  \n",
-       "19            NaN  \n",
-       "20            NaN  \n",
-       "21            NaN  \n",
-       "\n",
-       "[22 rows x 87 columns]"
-      ]
-     },
-     "execution_count": 64,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "baseline_i.merge(stimulated_11, on='unit_day', suffixes=['_base', '_stim'])"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -4228,7 +2965,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 344,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4237,13 +2974,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 345,
+   "execution_count": 99,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.svg',\n",
+       "['/media/storage/expipe/septum-mec/actions/spikes-in-field/data/statistics/statistics.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/statistics/statistics.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.svg',\n",
        " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.svg',\n",
        " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.svg',\n",
        " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.png',\n",
@@ -4253,7 +2992,7 @@
        " '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.png']"
       ]
      },
-     "execution_count": 345,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4264,7 +3003,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 346,
+   "execution_count": 100,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4299,5 +3038,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/actions/spikes-in-field/data/figures/stim_field_spikes_11.png b/actions/spikes-in-field/data/figures/stim_field_spikes_11.png
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