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statistics update

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Mikkel Elle Lepperød 2019-12-16 16:16:33 +01:00
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actions/comparisons-gridcells/data/statistics/statistics.csv
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\begin{tabular}{lllll}
\toprule
{} & Baseline I & Stimulated & MWU & PRS \\
\midrule
Average rate & 8.61 ± 0.75 (71) & 8.39 ± 0.60 (102) & 3599.00, 0.947 & 0.55, 0.764 \\
Gridness & 0.51 ± 0.04 (71) & 0.44 ± 0.04 (102) & 3208.00, 0.203 & 0.13, 0.141 \\
Sparsity & 0.61 ± 0.02 (71) & 0.66 ± 0.02 (102) & 4170.00, 0.091 & 0.06, 0.179 \\
Selectivity & 5.91 ± 0.37 (71) & 5.98 ± 0.37 (102) & 3460.00, 0.620 & 0.10, 0.869 \\
Information specificity & 0.25 ± 0.03 (71) & 0.22 ± 0.02 (102) & 2944.00, 0.037 & 0.05, 0.033 \\
Max rate & 36.55 ± 1.78 (71) & 33.72 ± 1.31 (102) & 3291.00, 0.309 & 3.19, 0.195 \\
Information rate & 1.30 ± 0.07 (71) & 0.96 ± 0.06 (102) & 2385.00, 0.000 & 0.32, 0.000 \\
Interspike interval cv & 2.42 ± 0.10 (71) & 2.22 ± 0.08 (102) & 3034.00, 0.070 & 0.12, 0.392 \\
In-field mean rate & 14.43 ± 1.00 (71) & 12.94 ± 0.71 (102) & 3368.00, 0.436 & 0.39, 0.812 \\
Out-field mean rate & 6.05 ± 0.62 (71) & 6.12 ± 0.53 (102) & 3600.00, 0.950 & 0.08, 0.946 \\
Burst event ratio & 0.22 ± 0.01 (71) & 0.20 ± 0.01 (102) & 3090.00, 0.102 & 0.02, 0.124 \\
Specificity & 0.48 ± 0.03 (71) & 0.46 ± 0.02 (102) & 3268.00, 0.277 & 0.06, 0.356 \\
Speed score & 0.14 ± 0.01 (71) & 0.10 ± 0.01 (102) & 2546.00, 0.001 & 0.05, 0.000 \\
\bottomrule
\end{tabular}
,Baseline I,Stimulated,MWU,PRS
Average rate,8.61 ± 0.75 (71),8.39 ± 0.60 (102),"3599.00, 0.947","0.55, 0.757"
Gridness,0.51 ± 0.04 (71),0.44 ± 0.04 (102),"3208.00, 0.203","0.13, 0.145"
Sparsity,0.61 ± 0.02 (71),0.66 ± 0.02 (102),"4170.00, 0.091","0.06, 0.179"
Selectivity,5.91 ± 0.37 (71),5.98 ± 0.37 (102),"3460.00, 0.620","0.10, 0.874"
Information specificity,0.25 ± 0.03 (71),0.22 ± 0.02 (102),"2944.00, 0.037","0.05, 0.034"
Max rate,36.55 ± 1.78 (71),33.72 ± 1.31 (102),"3291.00, 0.309","3.19, 0.194"
Information rate,1.30 ± 0.07 (71),0.96 ± 0.06 (102),"2385.00, 0.000","0.32, 0.001"
Interspike interval cv,2.42 ± 0.10 (71),2.22 ± 0.08 (102),"3034.00, 0.070","0.12, 0.398"
In-field mean rate,14.43 ± 1.00 (71),12.94 ± 0.71 (102),"3368.00, 0.436","0.39, 0.817"
Out-field mean rate,6.05 ± 0.62 (71),6.12 ± 0.53 (102),"3600.00, 0.950","0.08, 0.944"
Burst event ratio,0.22 ± 0.01 (71),0.20 ± 0.01 (102),"3090.00, 0.102","0.02, 0.129"
Specificity,0.48 ± 0.03 (71),0.46 ± 0.02 (102),"3268.00, 0.277","0.06, 0.360"
Speed score,0.14 ± 0.01 (71),0.10 ± 0.01 (102),"2546.00, 0.001","0.05, 0.000"

1 \begin{tabular}{lllll} Baseline I Stimulated MWU PRS
2 \toprule Average rate 8.61 ± 0.75 (71) 8.39 ± 0.60 (102) 3599.00, 0.947 0.55, 0.757
3 {} & Baseline I & Stimulated & MWU & PRS \\ Gridness 0.51 ± 0.04 (71) 0.44 ± 0.04 (102) 3208.00, 0.203 0.13, 0.145
4 \midrule Sparsity 0.61 ± 0.02 (71) 0.66 ± 0.02 (102) 4170.00, 0.091 0.06, 0.179
5 Average rate & 8.61 ± 0.75 (71) & 8.39 ± 0.60 (102) & 3599.00, 0.947 & 0.55, 0.764 \\ Selectivity 5.91 ± 0.37 (71) 5.98 ± 0.37 (102) 3460.00, 0.620 0.10, 0.874
6 Gridness & 0.51 ± 0.04 (71) & 0.44 ± 0.04 (102) & 3208.00, 0.203 & 0.13, 0.141 \\ Information specificity 0.25 ± 0.03 (71) 0.22 ± 0.02 (102) 2944.00, 0.037 0.05, 0.034
7 Sparsity & 0.61 ± 0.02 (71) & 0.66 ± 0.02 (102) & 4170.00, 0.091 & 0.06, 0.179 \\ Max rate 36.55 ± 1.78 (71) 33.72 ± 1.31 (102) 3291.00, 0.309 3.19, 0.194
8 Selectivity & 5.91 ± 0.37 (71) & 5.98 ± 0.37 (102) & 3460.00, 0.620 & 0.10, 0.869 \\ Information rate 1.30 ± 0.07 (71) 0.96 ± 0.06 (102) 2385.00, 0.000 0.32, 0.001
9 Information specificity & 0.25 ± 0.03 (71) & 0.22 ± 0.02 (102) & 2944.00, 0.037 & 0.05, 0.033 \\ Interspike interval cv 2.42 ± 0.10 (71) 2.22 ± 0.08 (102) 3034.00, 0.070 0.12, 0.398
10 Max rate & 36.55 ± 1.78 (71) & 33.72 ± 1.31 (102) & 3291.00, 0.309 & 3.19, 0.195 \\ In-field mean rate 14.43 ± 1.00 (71) 12.94 ± 0.71 (102) 3368.00, 0.436 0.39, 0.817
11 Information rate & 1.30 ± 0.07 (71) & 0.96 ± 0.06 (102) & 2385.00, 0.000 & 0.32, 0.000 \\ Out-field mean rate 6.05 ± 0.62 (71) 6.12 ± 0.53 (102) 3600.00, 0.950 0.08, 0.944
12 Interspike interval cv & 2.42 ± 0.10 (71) & 2.22 ± 0.08 (102) & 3034.00, 0.070 & 0.12, 0.392 \\ Burst event ratio 0.22 ± 0.01 (71) 0.20 ± 0.01 (102) 3090.00, 0.102 0.02, 0.129
13 In-field mean rate & 14.43 ± 1.00 (71) & 12.94 ± 0.71 (102) & 3368.00, 0.436 & 0.39, 0.812 \\ Specificity 0.48 ± 0.03 (71) 0.46 ± 0.02 (102) 3268.00, 0.277 0.06, 0.360
14 Out-field mean rate & 6.05 ± 0.62 (71) & 6.12 ± 0.53 (102) & 3600.00, 0.950 & 0.08, 0.946 \\ Speed score 0.14 ± 0.01 (71) 0.10 ± 0.01 (102) 2546.00, 0.001 0.05, 0.000
Burst event ratio & 0.22 ± 0.01 (71) & 0.20 ± 0.01 (102) & 3090.00, 0.102 & 0.02, 0.124 \\
Specificity & 0.48 ± 0.03 (71) & 0.46 ± 0.02 (102) & 3268.00, 0.277 & 0.06, 0.356 \\
Speed score & 0.14 ± 0.01 (71) & 0.10 ± 0.01 (102) & 2546.00, 0.001 & 0.05, 0.000 \\
\bottomrule
\end{tabular}

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actions/comparisons-gridcells/data/statistics/statistics.tex
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\toprule
{} & Baseline I & Stimulated & MWU & PRS \\
\midrule
Average rate & 8.61 ± 0.75 (71) & 8.39 ± 0.60 (102) & 3599.00, 0.947 & 0.55, 0.764 \\
Gridness & 0.51 ± 0.04 (71) & 0.44 ± 0.04 (102) & 3208.00, 0.203 & 0.13, 0.141 \\
Average rate & 8.61 ± 0.75 (71) & 8.39 ± 0.60 (102) & 3599.00, 0.947 & 0.55, 0.757 \\
Gridness & 0.51 ± 0.04 (71) & 0.44 ± 0.04 (102) & 3208.00, 0.203 & 0.13, 0.145 \\
Sparsity & 0.61 ± 0.02 (71) & 0.66 ± 0.02 (102) & 4170.00, 0.091 & 0.06, 0.179 \\
Selectivity & 5.91 ± 0.37 (71) & 5.98 ± 0.37 (102) & 3460.00, 0.620 & 0.10, 0.869 \\
Information specificity & 0.25 ± 0.03 (71) & 0.22 ± 0.02 (102) & 2944.00, 0.037 & 0.05, 0.033 \\
Max rate & 36.55 ± 1.78 (71) & 33.72 ± 1.31 (102) & 3291.00, 0.309 & 3.19, 0.195 \\
Information rate & 1.30 ± 0.07 (71) & 0.96 ± 0.06 (102) & 2385.00, 0.000 & 0.32, 0.000 \\
Interspike interval cv & 2.42 ± 0.10 (71) & 2.22 ± 0.08 (102) & 3034.00, 0.070 & 0.12, 0.392 \\
In-field mean rate & 14.43 ± 1.00 (71) & 12.94 ± 0.71 (102) & 3368.00, 0.436 & 0.39, 0.812 \\
Out-field mean rate & 6.05 ± 0.62 (71) & 6.12 ± 0.53 (102) & 3600.00, 0.950 & 0.08, 0.946 \\
Burst event ratio & 0.22 ± 0.01 (71) & 0.20 ± 0.01 (102) & 3090.00, 0.102 & 0.02, 0.124 \\
Specificity & 0.48 ± 0.03 (71) & 0.46 ± 0.02 (102) & 3268.00, 0.277 & 0.06, 0.356 \\
Selectivity & 5.91 ± 0.37 (71) & 5.98 ± 0.37 (102) & 3460.00, 0.620 & 0.10, 0.874 \\
Information specificity & 0.25 ± 0.03 (71) & 0.22 ± 0.02 (102) & 2944.00, 0.037 & 0.05, 0.034 \\
Max rate & 36.55 ± 1.78 (71) & 33.72 ± 1.31 (102) & 3291.00, 0.309 & 3.19, 0.194 \\
Information rate & 1.30 ± 0.07 (71) & 0.96 ± 0.06 (102) & 2385.00, 0.000 & 0.32, 0.001 \\
Interspike interval cv & 2.42 ± 0.10 (71) & 2.22 ± 0.08 (102) & 3034.00, 0.070 & 0.12, 0.398 \\
In-field mean rate & 14.43 ± 1.00 (71) & 12.94 ± 0.71 (102) & 3368.00, 0.436 & 0.39, 0.817 \\
Out-field mean rate & 6.05 ± 0.62 (71) & 6.12 ± 0.53 (102) & 3600.00, 0.950 & 0.08, 0.944 \\
Burst event ratio & 0.22 ± 0.01 (71) & 0.20 ± 0.01 (102) & 3090.00, 0.102 & 0.02, 0.129 \\
Specificity & 0.48 ± 0.03 (71) & 0.46 ± 0.02 (102) & 3268.00, 0.277 & 0.06, 0.360 \\
Speed score & 0.14 ± 0.01 (71) & 0.10 ± 0.01 (102) & 2546.00, 0.001 & 0.05, 0.000 \\
\bottomrule
\end{tabular}

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actions/comparisons-gridcells/data/statistics/statistics_11.csv
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\begin{tabular}{lllll}
\toprule
{} & Baseline I & 11 Hz & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 8.80 ± 0.85 (58) & 1781.00, 0.813 & 0.04, 0.972 \\
Gridness & 0.53 ± 0.05 (63) & 0.41 ± 0.05 (58) & 1459.00, 0.057 & 0.21, 0.043 \\
Sparsity & 0.63 ± 0.02 (63) & 0.67 ± 0.03 (58) & 2138.00, 0.107 & 0.07, 0.119 \\
Selectivity & 5.76 ± 0.40 (63) & 5.69 ± 0.50 (58) & 1687.00, 0.469 & 0.00, 0.982 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.03 (58) & 1452.00, 0.052 & 0.06, 0.032 \\
Max rate & 37.39 ± 1.91 (63) & 33.11 ± 1.85 (58) & 1538.00, 0.134 & 4.06, 0.122 \\
Information rate & 1.31 ± 0.08 (63) & 0.94 ± 0.08 (58) & 1143.00, 0.000 & 0.32, 0.003 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.19 ± 0.12 (58) & 1462.00, 0.059 & 0.18, 0.135 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.27 ± 1.04 (58) & 1633.00, 0.315 & 0.77, 0.688 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 6.57 ± 0.77 (58) & 1795.00, 0.870 & 0.47, 0.724 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.22 ± 0.01 (58) & 1897.00, 0.718 & 0.00, 0.824 \\
Specificity & 0.47 ± 0.03 (63) & 0.44 ± 0.03 (58) & 1605.00, 0.250 & 0.06, 0.398 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (58) & 1378.00, 0.020 & 0.04, 0.023 \\
\bottomrule
\end{tabular}
,Baseline I,11 Hz,MWU,PRS
Average rate,8.96 ± 0.80 (63),8.80 ± 0.85 (58),"1781.00, 0.813","0.04, 0.968"
Gridness,0.53 ± 0.05 (63),0.41 ± 0.05 (58),"1459.00, 0.057","0.21, 0.041"
Sparsity,0.63 ± 0.02 (63),0.67 ± 0.03 (58),"2138.00, 0.107","0.07, 0.128"
Selectivity,5.76 ± 0.40 (63),5.69 ± 0.50 (58),"1687.00, 0.469","0.00, 0.983"
Information specificity,0.24 ± 0.03 (63),0.21 ± 0.03 (58),"1452.00, 0.052","0.06, 0.030"
Max rate,37.39 ± 1.91 (63),33.11 ± 1.85 (58),"1538.00, 0.134","4.06, 0.125"
Information rate,1.31 ± 0.08 (63),0.94 ± 0.08 (58),"1143.00, 0.000","0.32, 0.004"
Interspike interval cv,2.39 ± 0.10 (63),2.19 ± 0.12 (58),"1462.00, 0.059","0.18, 0.139"
In-field mean rate,14.88 ± 1.05 (63),13.27 ± 1.04 (58),"1633.00, 0.315","0.77, 0.690"
Out-field mean rate,6.37 ± 0.67 (63),6.57 ± 0.77 (58),"1795.00, 0.870","0.47, 0.719"
Burst event ratio,0.22 ± 0.01 (63),0.22 ± 0.01 (58),"1897.00, 0.718","0.00, 0.824"
Specificity,0.47 ± 0.03 (63),0.44 ± 0.03 (58),"1605.00, 0.250","0.06, 0.414"
Speed score,0.14 ± 0.01 (63),0.11 ± 0.01 (58),"1378.00, 0.020","0.04, 0.022"

1 \begin{tabular}{lllll} Baseline I 11 Hz MWU PRS
2 \toprule Average rate 8.96 ± 0.80 (63) 8.80 ± 0.85 (58) 1781.00, 0.813 0.04, 0.968
3 {} & Baseline I & 11 Hz & MWU & PRS \\ Gridness 0.53 ± 0.05 (63) 0.41 ± 0.05 (58) 1459.00, 0.057 0.21, 0.041
4 \midrule Sparsity 0.63 ± 0.02 (63) 0.67 ± 0.03 (58) 2138.00, 0.107 0.07, 0.128
5 Average rate & 8.96 ± 0.80 (63) & 8.80 ± 0.85 (58) & 1781.00, 0.813 & 0.04, 0.972 \\ Selectivity 5.76 ± 0.40 (63) 5.69 ± 0.50 (58) 1687.00, 0.469 0.00, 0.983
6 Gridness & 0.53 ± 0.05 (63) & 0.41 ± 0.05 (58) & 1459.00, 0.057 & 0.21, 0.043 \\ Information specificity 0.24 ± 0.03 (63) 0.21 ± 0.03 (58) 1452.00, 0.052 0.06, 0.030
7 Sparsity & 0.63 ± 0.02 (63) & 0.67 ± 0.03 (58) & 2138.00, 0.107 & 0.07, 0.119 \\ Max rate 37.39 ± 1.91 (63) 33.11 ± 1.85 (58) 1538.00, 0.134 4.06, 0.125
8 Selectivity & 5.76 ± 0.40 (63) & 5.69 ± 0.50 (58) & 1687.00, 0.469 & 0.00, 0.982 \\ Information rate 1.31 ± 0.08 (63) 0.94 ± 0.08 (58) 1143.00, 0.000 0.32, 0.004
9 Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.03 (58) & 1452.00, 0.052 & 0.06, 0.032 \\ Interspike interval cv 2.39 ± 0.10 (63) 2.19 ± 0.12 (58) 1462.00, 0.059 0.18, 0.139
10 Max rate & 37.39 ± 1.91 (63) & 33.11 ± 1.85 (58) & 1538.00, 0.134 & 4.06, 0.122 \\ In-field mean rate 14.88 ± 1.05 (63) 13.27 ± 1.04 (58) 1633.00, 0.315 0.77, 0.690
11 Information rate & 1.31 ± 0.08 (63) & 0.94 ± 0.08 (58) & 1143.00, 0.000 & 0.32, 0.003 \\ Out-field mean rate 6.37 ± 0.67 (63) 6.57 ± 0.77 (58) 1795.00, 0.870 0.47, 0.719
12 Interspike interval cv & 2.39 ± 0.10 (63) & 2.19 ± 0.12 (58) & 1462.00, 0.059 & 0.18, 0.135 \\ Burst event ratio 0.22 ± 0.01 (63) 0.22 ± 0.01 (58) 1897.00, 0.718 0.00, 0.824
13 In-field mean rate & 14.88 ± 1.05 (63) & 13.27 ± 1.04 (58) & 1633.00, 0.315 & 0.77, 0.688 \\ Specificity 0.47 ± 0.03 (63) 0.44 ± 0.03 (58) 1605.00, 0.250 0.06, 0.414
14 Out-field mean rate & 6.37 ± 0.67 (63) & 6.57 ± 0.77 (58) & 1795.00, 0.870 & 0.47, 0.724 \\ Speed score 0.14 ± 0.01 (63) 0.11 ± 0.01 (58) 1378.00, 0.020 0.04, 0.022
Burst event ratio & 0.22 ± 0.01 (63) & 0.22 ± 0.01 (58) & 1897.00, 0.718 & 0.00, 0.824 \\
Specificity & 0.47 ± 0.03 (63) & 0.44 ± 0.03 (58) & 1605.00, 0.250 & 0.06, 0.398 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (58) & 1378.00, 0.020 & 0.04, 0.023 \\
\bottomrule
\end{tabular}

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actions/comparisons-gridcells/data/statistics/statistics_11.tex
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\toprule
{} & Baseline I & 11 Hz & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 8.80 ± 0.85 (58) & 1781.00, 0.813 & 0.04, 0.972 \\
Gridness & 0.53 ± 0.05 (63) & 0.41 ± 0.05 (58) & 1459.00, 0.057 & 0.21, 0.043 \\
Sparsity & 0.63 ± 0.02 (63) & 0.67 ± 0.03 (58) & 2138.00, 0.107 & 0.07, 0.119 \\
Selectivity & 5.76 ± 0.40 (63) & 5.69 ± 0.50 (58) & 1687.00, 0.469 & 0.00, 0.982 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.03 (58) & 1452.00, 0.052 & 0.06, 0.032 \\
Max rate & 37.39 ± 1.91 (63) & 33.11 ± 1.85 (58) & 1538.00, 0.134 & 4.06, 0.122 \\
Information rate & 1.31 ± 0.08 (63) & 0.94 ± 0.08 (58) & 1143.00, 0.000 & 0.32, 0.003 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.19 ± 0.12 (58) & 1462.00, 0.059 & 0.18, 0.135 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.27 ± 1.04 (58) & 1633.00, 0.315 & 0.77, 0.688 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 6.57 ± 0.77 (58) & 1795.00, 0.870 & 0.47, 0.724 \\
Average rate & 8.96 ± 0.80 (63) & 8.80 ± 0.85 (58) & 1781.00, 0.813 & 0.04, 0.968 \\
Gridness & 0.53 ± 0.05 (63) & 0.41 ± 0.05 (58) & 1459.00, 0.057 & 0.21, 0.041 \\
Sparsity & 0.63 ± 0.02 (63) & 0.67 ± 0.03 (58) & 2138.00, 0.107 & 0.07, 0.128 \\
Selectivity & 5.76 ± 0.40 (63) & 5.69 ± 0.50 (58) & 1687.00, 0.469 & 0.00, 0.983 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.03 (58) & 1452.00, 0.052 & 0.06, 0.030 \\
Max rate & 37.39 ± 1.91 (63) & 33.11 ± 1.85 (58) & 1538.00, 0.134 & 4.06, 0.125 \\
Information rate & 1.31 ± 0.08 (63) & 0.94 ± 0.08 (58) & 1143.00, 0.000 & 0.32, 0.004 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.19 ± 0.12 (58) & 1462.00, 0.059 & 0.18, 0.139 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.27 ± 1.04 (58) & 1633.00, 0.315 & 0.77, 0.690 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 6.57 ± 0.77 (58) & 1795.00, 0.870 & 0.47, 0.719 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.22 ± 0.01 (58) & 1897.00, 0.718 & 0.00, 0.824 \\
Specificity & 0.47 ± 0.03 (63) & 0.44 ± 0.03 (58) & 1605.00, 0.250 & 0.06, 0.398 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (58) & 1378.00, 0.020 & 0.04, 0.023 \\
Specificity & 0.47 ± 0.03 (63) & 0.44 ± 0.03 (58) & 1605.00, 0.250 & 0.06, 0.414 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (58) & 1378.00, 0.020 & 0.04, 0.022 \\
\bottomrule
\end{tabular}

33
actions/comparisons-gridcells/data/statistics/statistics_11_vs_30.csv
View File

@ -1,19 +1,14 @@
\begin{tabular}{lllll}
\toprule
{} & 11 Hz & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.80 ± 0.85 (58) & 7.61 ± 0.87 (38) & 1010.00, 0.493 & 0.23, 0.893 \\
Gridness & 0.41 ± 0.05 (58) & 0.48 ± 0.06 (38) & 1259.00, 0.241 & 0.13, 0.094 \\
Sparsity & 0.67 ± 0.03 (58) & 0.64 ± 0.03 (38) & 1002.00, 0.456 & 0.04, 0.561 \\
Selectivity & 5.69 ± 0.50 (58) & 6.42 ± 0.60 (38) & 1260.00, 0.238 & 0.85, 0.335 \\
Information specificity & 0.21 ± 0.03 (58) & 0.22 ± 0.03 (38) & 1231.00, 0.336 & 0.01, 0.732 \\
Max rate & 33.11 ± 1.85 (58) & 33.49 ± 1.89 (38) & 1136.00, 0.802 & 0.07, 0.993 \\
Information rate & 0.94 ± 0.08 (58) & 0.98 ± 0.09 (38) & 1171.00, 0.608 & 0.01, 0.789 \\
Interspike interval cv & 2.19 ± 0.12 (58) & 2.23 ± 0.11 (38) & 1228.00, 0.347 & 0.17, 0.328 \\
In-field mean rate & 13.27 ± 1.04 (58) & 12.21 ± 0.98 (38) & 1058.00, 0.744 & 0.97, 0.637 \\
Out-field mean rate & 6.57 ± 0.77 (58) & 5.36 ± 0.73 (38) & 1019.00, 0.537 & 0.04, 0.958 \\
Burst event ratio & 0.22 ± 0.01 (58) & 0.16 ± 0.01 (38) & 552.00, 0.000 & 0.06, 0.000 \\
Specificity & 0.44 ± 0.03 (58) & 0.48 ± 0.04 (38) & 1233.00, 0.328 & 0.07, 0.380 \\
Speed score & 0.11 ± 0.01 (58) & 0.11 ± 0.01 (38) & 1022.00, 0.551 & 0.02, 0.144 \\
\bottomrule
\end{tabular}
,11 Hz,30 Hz,MWU,PRS
Average rate,8.80 ± 0.85 (58),7.61 ± 0.87 (38),"1010.00, 0.493","0.23, 0.892"
Gridness,0.41 ± 0.05 (58),0.48 ± 0.06 (38),"1259.00, 0.241","0.13, 0.099"
Sparsity,0.67 ± 0.03 (58),0.64 ± 0.03 (38),"1002.00, 0.456","0.04, 0.557"
Selectivity,5.69 ± 0.50 (58),6.42 ± 0.60 (38),"1260.00, 0.238","0.85, 0.340"
Information specificity,0.21 ± 0.03 (58),0.22 ± 0.03 (38),"1231.00, 0.336","0.01, 0.727"
Max rate,33.11 ± 1.85 (58),33.49 ± 1.89 (38),"1136.00, 0.802","0.07, 0.994"
Information rate,0.94 ± 0.08 (58),0.98 ± 0.09 (38),"1171.00, 0.608","0.01, 0.784"
Interspike interval cv,2.19 ± 0.12 (58),2.23 ± 0.11 (38),"1228.00, 0.347","0.17, 0.338"
In-field mean rate,13.27 ± 1.04 (58),12.21 ± 0.98 (38),"1058.00, 0.744","0.97, 0.634"
Out-field mean rate,6.57 ± 0.77 (58),5.36 ± 0.73 (38),"1019.00, 0.537","0.04, 0.959"
Burst event ratio,0.22 ± 0.01 (58),0.16 ± 0.01 (38),"552.00, 0.000","0.06, 0.000"
Specificity,0.44 ± 0.03 (58),0.48 ± 0.04 (38),"1233.00, 0.328","0.07, 0.371"
Speed score,0.11 ± 0.01 (58),0.11 ± 0.01 (38),"1022.00, 0.551","0.02, 0.144"

1 \begin{tabular}{lllll} 11 Hz 30 Hz MWU PRS
2 \toprule Average rate 8.80 ± 0.85 (58) 7.61 ± 0.87 (38) 1010.00, 0.493 0.23, 0.892
3 {} & 11 Hz & 30 Hz & MWU & PRS \\ Gridness 0.41 ± 0.05 (58) 0.48 ± 0.06 (38) 1259.00, 0.241 0.13, 0.099
4 \midrule Sparsity 0.67 ± 0.03 (58) 0.64 ± 0.03 (38) 1002.00, 0.456 0.04, 0.557
5 Average rate & 8.80 ± 0.85 (58) & 7.61 ± 0.87 (38) & 1010.00, 0.493 & 0.23, 0.893 \\ Selectivity 5.69 ± 0.50 (58) 6.42 ± 0.60 (38) 1260.00, 0.238 0.85, 0.340
6 Gridness & 0.41 ± 0.05 (58) & 0.48 ± 0.06 (38) & 1259.00, 0.241 & 0.13, 0.094 \\ Information specificity 0.21 ± 0.03 (58) 0.22 ± 0.03 (38) 1231.00, 0.336 0.01, 0.727
7 Sparsity & 0.67 ± 0.03 (58) & 0.64 ± 0.03 (38) & 1002.00, 0.456 & 0.04, 0.561 \\ Max rate 33.11 ± 1.85 (58) 33.49 ± 1.89 (38) 1136.00, 0.802 0.07, 0.994
8 Selectivity & 5.69 ± 0.50 (58) & 6.42 ± 0.60 (38) & 1260.00, 0.238 & 0.85, 0.335 \\ Information rate 0.94 ± 0.08 (58) 0.98 ± 0.09 (38) 1171.00, 0.608 0.01, 0.784
9 Information specificity & 0.21 ± 0.03 (58) & 0.22 ± 0.03 (38) & 1231.00, 0.336 & 0.01, 0.732 \\ Interspike interval cv 2.19 ± 0.12 (58) 2.23 ± 0.11 (38) 1228.00, 0.347 0.17, 0.338
10 Max rate & 33.11 ± 1.85 (58) & 33.49 ± 1.89 (38) & 1136.00, 0.802 & 0.07, 0.993 \\ In-field mean rate 13.27 ± 1.04 (58) 12.21 ± 0.98 (38) 1058.00, 0.744 0.97, 0.634
11 Information rate & 0.94 ± 0.08 (58) & 0.98 ± 0.09 (38) & 1171.00, 0.608 & 0.01, 0.789 \\ Out-field mean rate 6.57 ± 0.77 (58) 5.36 ± 0.73 (38) 1019.00, 0.537 0.04, 0.959
12 Interspike interval cv & 2.19 ± 0.12 (58) & 2.23 ± 0.11 (38) & 1228.00, 0.347 & 0.17, 0.328 \\ Burst event ratio 0.22 ± 0.01 (58) 0.16 ± 0.01 (38) 552.00, 0.000 0.06, 0.000
13 In-field mean rate & 13.27 ± 1.04 (58) & 12.21 ± 0.98 (38) & 1058.00, 0.744 & 0.97, 0.637 \\ Specificity 0.44 ± 0.03 (58) 0.48 ± 0.04 (38) 1233.00, 0.328 0.07, 0.371
14 Out-field mean rate & 6.57 ± 0.77 (58) & 5.36 ± 0.73 (38) & 1019.00, 0.537 & 0.04, 0.958 \\ Speed score 0.11 ± 0.01 (58) 0.11 ± 0.01 (38) 1022.00, 0.551 0.02, 0.144
Burst event ratio & 0.22 ± 0.01 (58) & 0.16 ± 0.01 (38) & 552.00, 0.000 & 0.06, 0.000 \\
Specificity & 0.44 ± 0.03 (58) & 0.48 ± 0.04 (38) & 1233.00, 0.328 & 0.07, 0.380 \\
Speed score & 0.11 ± 0.01 (58) & 0.11 ± 0.01 (38) & 1022.00, 0.551 & 0.02, 0.144 \\
\bottomrule
\end{tabular}

22
actions/comparisons-gridcells/data/statistics/statistics_11_vs_30.tex
View File

@ -2,18 +2,18 @@
\toprule
{} & 11 Hz & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.80 ± 0.85 (58) & 7.61 ± 0.87 (38) & 1010.00, 0.493 & 0.23, 0.893 \\
Gridness & 0.41 ± 0.05 (58) & 0.48 ± 0.06 (38) & 1259.00, 0.241 & 0.13, 0.094 \\
Sparsity & 0.67 ± 0.03 (58) & 0.64 ± 0.03 (38) & 1002.00, 0.456 & 0.04, 0.561 \\
Selectivity & 5.69 ± 0.50 (58) & 6.42 ± 0.60 (38) & 1260.00, 0.238 & 0.85, 0.335 \\
Information specificity & 0.21 ± 0.03 (58) & 0.22 ± 0.03 (38) & 1231.00, 0.336 & 0.01, 0.732 \\
Max rate & 33.11 ± 1.85 (58) & 33.49 ± 1.89 (38) & 1136.00, 0.802 & 0.07, 0.993 \\
Information rate & 0.94 ± 0.08 (58) & 0.98 ± 0.09 (38) & 1171.00, 0.608 & 0.01, 0.789 \\
Interspike interval cv & 2.19 ± 0.12 (58) & 2.23 ± 0.11 (38) & 1228.00, 0.347 & 0.17, 0.328 \\
In-field mean rate & 13.27 ± 1.04 (58) & 12.21 ± 0.98 (38) & 1058.00, 0.744 & 0.97, 0.637 \\
Out-field mean rate & 6.57 ± 0.77 (58) & 5.36 ± 0.73 (38) & 1019.00, 0.537 & 0.04, 0.958 \\
Average rate & 8.80 ± 0.85 (58) & 7.61 ± 0.87 (38) & 1010.00, 0.493 & 0.23, 0.892 \\
Gridness & 0.41 ± 0.05 (58) & 0.48 ± 0.06 (38) & 1259.00, 0.241 & 0.13, 0.099 \\
Sparsity & 0.67 ± 0.03 (58) & 0.64 ± 0.03 (38) & 1002.00, 0.456 & 0.04, 0.557 \\
Selectivity & 5.69 ± 0.50 (58) & 6.42 ± 0.60 (38) & 1260.00, 0.238 & 0.85, 0.340 \\
Information specificity & 0.21 ± 0.03 (58) & 0.22 ± 0.03 (38) & 1231.00, 0.336 & 0.01, 0.727 \\
Max rate & 33.11 ± 1.85 (58) & 33.49 ± 1.89 (38) & 1136.00, 0.802 & 0.07, 0.994 \\
Information rate & 0.94 ± 0.08 (58) & 0.98 ± 0.09 (38) & 1171.00, 0.608 & 0.01, 0.784 \\
Interspike interval cv & 2.19 ± 0.12 (58) & 2.23 ± 0.11 (38) & 1228.00, 0.347 & 0.17, 0.338 \\
In-field mean rate & 13.27 ± 1.04 (58) & 12.21 ± 0.98 (38) & 1058.00, 0.744 & 0.97, 0.634 \\
Out-field mean rate & 6.57 ± 0.77 (58) & 5.36 ± 0.73 (38) & 1019.00, 0.537 & 0.04, 0.959 \\
Burst event ratio & 0.22 ± 0.01 (58) & 0.16 ± 0.01 (38) & 552.00, 0.000 & 0.06, 0.000 \\
Specificity & 0.44 ± 0.03 (58) & 0.48 ± 0.04 (38) & 1233.00, 0.328 & 0.07, 0.380 \\
Specificity & 0.44 ± 0.03 (58) & 0.48 ± 0.04 (38) & 1233.00, 0.328 & 0.07, 0.371 \\
Speed score & 0.11 ± 0.01 (58) & 0.11 ± 0.01 (38) & 1022.00, 0.551 & 0.02, 0.144 \\
\bottomrule
\end{tabular}

33
actions/comparisons-gridcells/data/statistics/statistics_30.csv
View File

@ -1,19 +1,14 @@
\begin{tabular}{lllll}
\toprule
{} & Baseline II & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.29 ± 0.87 (52) & 7.61 ± 0.87 (38) & 958.00, 0.810 & 0.27, 0.800 \\
Gridness & 0.54 ± 0.04 (52) & 0.48 ± 0.06 (38) & 914.00, 0.548 & 0.04, 0.601 \\
Sparsity & 0.63 ± 0.03 (52) & 0.64 ± 0.03 (38) & 1040.00, 0.674 & 0.06, 0.393 \\
Selectivity & 5.96 ± 0.46 (52) & 6.42 ± 0.60 (38) & 1019.00, 0.803 & 0.20, 0.847 \\
Information specificity & 0.21 ± 0.02 (52) & 0.22 ± 0.03 (38) & 950.00, 0.759 & 0.04, 0.502 \\
Max rate & 36.27 ± 2.34 (52) & 33.49 ± 1.89 (38) & 943.00, 0.716 & 2.90, 0.555 \\
Information rate & 1.13 ± 0.08 (52) & 0.98 ± 0.09 (38) & 827.00, 0.190 & 0.07, 0.334 \\
Interspike interval cv & 2.37 ± 0.09 (52) & 2.23 ± 0.11 (38) & 869.00, 0.333 & 0.17, 0.476 \\
In-field mean rate & 13.79 ± 1.12 (52) & 12.21 ± 0.98 (38) & 912.00, 0.537 & 1.06, 0.455 \\
Out-field mean rate & 5.80 ± 0.72 (52) & 5.36 ± 0.73 (38) & 959.00, 0.816 & 0.13, 0.912 \\
Burst event ratio & 0.20 ± 0.01 (52) & 0.16 ± 0.01 (38) & 676.00, 0.011 & 0.05, 0.006 \\
Specificity & 0.47 ± 0.03 (52) & 0.48 ± 0.04 (38) & 976.00, 0.925 & 0.00, 0.987 \\
Speed score & 0.12 ± 0.01 (52) & 0.11 ± 0.01 (38) & 784.00, 0.096 & 0.01, 0.230 \\
\bottomrule
\end{tabular}
,Baseline II,30 Hz,MWU,PRS
Average rate,8.29 ± 0.87 (52),7.61 ± 0.87 (38),"958.00, 0.810","0.27, 0.808"
Gridness,0.54 ± 0.04 (52),0.48 ± 0.06 (38),"914.00, 0.548","0.04, 0.598"
Sparsity,0.63 ± 0.03 (52),0.64 ± 0.03 (38),"1040.00, 0.674","0.06, 0.398"
Selectivity,5.96 ± 0.46 (52),6.42 ± 0.60 (38),"1019.00, 0.803","0.20, 0.845"
Information specificity,0.21 ± 0.02 (52),0.22 ± 0.03 (38),"950.00, 0.759","0.04, 0.506"
Max rate,36.27 ± 2.34 (52),33.49 ± 1.89 (38),"943.00, 0.716","2.90, 0.565"
Information rate,1.13 ± 0.08 (52),0.98 ± 0.09 (38),"827.00, 0.190","0.07, 0.335"
Interspike interval cv,2.37 ± 0.09 (52),2.23 ± 0.11 (38),"869.00, 0.333","0.17, 0.482"
In-field mean rate,13.79 ± 1.12 (52),12.21 ± 0.98 (38),"912.00, 0.537","1.06, 0.444"
Out-field mean rate,5.80 ± 0.72 (52),5.36 ± 0.73 (38),"959.00, 0.816","0.13, 0.912"
Burst event ratio,0.20 ± 0.01 (52),0.16 ± 0.01 (38),"676.00, 0.011","0.05, 0.009"
Specificity,0.47 ± 0.03 (52),0.48 ± 0.04 (38),"976.00, 0.925","0.00, 0.988"
Speed score,0.12 ± 0.01 (52),0.11 ± 0.01 (38),"784.00, 0.096","0.01, 0.242"

1 \begin{tabular}{lllll} Baseline II 30 Hz MWU PRS
2 \toprule Average rate 8.29 ± 0.87 (52) 7.61 ± 0.87 (38) 958.00, 0.810 0.27, 0.808
3 {} & Baseline II & 30 Hz & MWU & PRS \\ Gridness 0.54 ± 0.04 (52) 0.48 ± 0.06 (38) 914.00, 0.548 0.04, 0.598
4 \midrule Sparsity 0.63 ± 0.03 (52) 0.64 ± 0.03 (38) 1040.00, 0.674 0.06, 0.398
5 Average rate & 8.29 ± 0.87 (52) & 7.61 ± 0.87 (38) & 958.00, 0.810 & 0.27, 0.800 \\ Selectivity 5.96 ± 0.46 (52) 6.42 ± 0.60 (38) 1019.00, 0.803 0.20, 0.845
6 Gridness & 0.54 ± 0.04 (52) & 0.48 ± 0.06 (38) & 914.00, 0.548 & 0.04, 0.601 \\ Information specificity 0.21 ± 0.02 (52) 0.22 ± 0.03 (38) 950.00, 0.759 0.04, 0.506
7 Sparsity & 0.63 ± 0.03 (52) & 0.64 ± 0.03 (38) & 1040.00, 0.674 & 0.06, 0.393 \\ Max rate 36.27 ± 2.34 (52) 33.49 ± 1.89 (38) 943.00, 0.716 2.90, 0.565
8 Selectivity & 5.96 ± 0.46 (52) & 6.42 ± 0.60 (38) & 1019.00, 0.803 & 0.20, 0.847 \\ Information rate 1.13 ± 0.08 (52) 0.98 ± 0.09 (38) 827.00, 0.190 0.07, 0.335
9 Information specificity & 0.21 ± 0.02 (52) & 0.22 ± 0.03 (38) & 950.00, 0.759 & 0.04, 0.502 \\ Interspike interval cv 2.37 ± 0.09 (52) 2.23 ± 0.11 (38) 869.00, 0.333 0.17, 0.482
10 Max rate & 36.27 ± 2.34 (52) & 33.49 ± 1.89 (38) & 943.00, 0.716 & 2.90, 0.555 \\ In-field mean rate 13.79 ± 1.12 (52) 12.21 ± 0.98 (38) 912.00, 0.537 1.06, 0.444
11 Information rate & 1.13 ± 0.08 (52) & 0.98 ± 0.09 (38) & 827.00, 0.190 & 0.07, 0.334 \\ Out-field mean rate 5.80 ± 0.72 (52) 5.36 ± 0.73 (38) 959.00, 0.816 0.13, 0.912
12 Interspike interval cv & 2.37 ± 0.09 (52) & 2.23 ± 0.11 (38) & 869.00, 0.333 & 0.17, 0.476 \\ Burst event ratio 0.20 ± 0.01 (52) 0.16 ± 0.01 (38) 676.00, 0.011 0.05, 0.009
13 In-field mean rate & 13.79 ± 1.12 (52) & 12.21 ± 0.98 (38) & 912.00, 0.537 & 1.06, 0.455 \\ Specificity 0.47 ± 0.03 (52) 0.48 ± 0.04 (38) 976.00, 0.925 0.00, 0.988
14 Out-field mean rate & 5.80 ± 0.72 (52) & 5.36 ± 0.73 (38) & 959.00, 0.816 & 0.13, 0.912 \\ Speed score 0.12 ± 0.01 (52) 0.11 ± 0.01 (38) 784.00, 0.096 0.01, 0.242
Burst event ratio & 0.20 ± 0.01 (52) & 0.16 ± 0.01 (38) & 676.00, 0.011 & 0.05, 0.006 \\
Specificity & 0.47 ± 0.03 (52) & 0.48 ± 0.04 (38) & 976.00, 0.925 & 0.00, 0.987 \\
Speed score & 0.12 ± 0.01 (52) & 0.11 ± 0.01 (38) & 784.00, 0.096 & 0.01, 0.230 \\
\bottomrule
\end{tabular}

24
actions/comparisons-gridcells/data/statistics/statistics_30.tex
View File

@ -2,18 +2,18 @@
\toprule
{} & Baseline II & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.29 ± 0.87 (52) & 7.61 ± 0.87 (38) & 958.00, 0.810 & 0.27, 0.800 \\
Gridness & 0.54 ± 0.04 (52) & 0.48 ± 0.06 (38) & 914.00, 0.548 & 0.04, 0.601 \\
Sparsity & 0.63 ± 0.03 (52) & 0.64 ± 0.03 (38) & 1040.00, 0.674 & 0.06, 0.393 \\
Selectivity & 5.96 ± 0.46 (52) & 6.42 ± 0.60 (38) & 1019.00, 0.803 & 0.20, 0.847 \\
Information specificity & 0.21 ± 0.02 (52) & 0.22 ± 0.03 (38) & 950.00, 0.759 & 0.04, 0.502 \\
Max rate & 36.27 ± 2.34 (52) & 33.49 ± 1.89 (38) & 943.00, 0.716 & 2.90, 0.555 \\
Information rate & 1.13 ± 0.08 (52) & 0.98 ± 0.09 (38) & 827.00, 0.190 & 0.07, 0.334 \\
Interspike interval cv & 2.37 ± 0.09 (52) & 2.23 ± 0.11 (38) & 869.00, 0.333 & 0.17, 0.476 \\
In-field mean rate & 13.79 ± 1.12 (52) & 12.21 ± 0.98 (38) & 912.00, 0.537 & 1.06, 0.455 \\
Average rate & 8.29 ± 0.87 (52) & 7.61 ± 0.87 (38) & 958.00, 0.810 & 0.27, 0.808 \\
Gridness & 0.54 ± 0.04 (52) & 0.48 ± 0.06 (38) & 914.00, 0.548 & 0.04, 0.598 \\
Sparsity & 0.63 ± 0.03 (52) & 0.64 ± 0.03 (38) & 1040.00, 0.674 & 0.06, 0.398 \\
Selectivity & 5.96 ± 0.46 (52) & 6.42 ± 0.60 (38) & 1019.00, 0.803 & 0.20, 0.845 \\
Information specificity & 0.21 ± 0.02 (52) & 0.22 ± 0.03 (38) & 950.00, 0.759 & 0.04, 0.506 \\
Max rate & 36.27 ± 2.34 (52) & 33.49 ± 1.89 (38) & 943.00, 0.716 & 2.90, 0.565 \\
Information rate & 1.13 ± 0.08 (52) & 0.98 ± 0.09 (38) & 827.00, 0.190 & 0.07, 0.335 \\
Interspike interval cv & 2.37 ± 0.09 (52) & 2.23 ± 0.11 (38) & 869.00, 0.333 & 0.17, 0.482 \\
In-field mean rate & 13.79 ± 1.12 (52) & 12.21 ± 0.98 (38) & 912.00, 0.537 & 1.06, 0.444 \\
Out-field mean rate & 5.80 ± 0.72 (52) & 5.36 ± 0.73 (38) & 959.00, 0.816 & 0.13, 0.912 \\
Burst event ratio & 0.20 ± 0.01 (52) & 0.16 ± 0.01 (38) & 676.00, 0.011 & 0.05, 0.006 \\
Specificity & 0.47 ± 0.03 (52) & 0.48 ± 0.04 (38) & 976.00, 0.925 & 0.00, 0.987 \\
Speed score & 0.12 ± 0.01 (52) & 0.11 ± 0.01 (38) & 784.00, 0.096 & 0.01, 0.230 \\
Burst event ratio & 0.20 ± 0.01 (52) & 0.16 ± 0.01 (38) & 676.00, 0.011 & 0.05, 0.009 \\
Specificity & 0.47 ± 0.03 (52) & 0.48 ± 0.04 (38) & 976.00, 0.925 & 0.00, 0.988 \\
Speed score & 0.12 ± 0.01 (52) & 0.11 ± 0.01 (38) & 784.00, 0.096 & 0.01, 0.242 \\
\bottomrule
\end{tabular}

33
actions/comparisons-gridcells/data/statistics/statistics_b_i_30.csv
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@ -1,19 +1,14 @@
\begin{tabular}{lllll}
\toprule
{} & Baseline I & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 7.61 ± 0.87 (38) & 1081.00, 0.418 & 0.27, 0.806 \\
Gridness & 0.53 ± 0.05 (63) & 0.48 ± 0.06 (38) & 1094.00, 0.472 & 0.08, 0.361 \\
Sparsity & 0.63 ± 0.02 (63) & 0.64 ± 0.03 (38) & 1261.00, 0.656 & 0.03, 0.638 \\
Selectivity & 5.76 ± 0.40 (63) & 6.42 ± 0.60 (38) & 1276.00, 0.582 & 0.86, 0.293 \\
Information specificity & 0.24 ± 0.03 (63) & 0.22 ± 0.03 (38) & 1076.00, 0.398 & 0.05, 0.165 \\
Max rate & 37.39 ± 1.91 (63) & 33.49 ± 1.89 (38) & 1027.00, 0.235 & 3.99, 0.188 \\
Information rate & 1.31 ± 0.08 (63) & 0.98 ± 0.09 (38) & 797.00, 0.005 & 0.32, 0.047 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.23 ± 0.11 (38) & 1100.00, 0.499 & 0.01, 0.993 \\
In-field mean rate & 14.88 ± 1.05 (63) & 12.21 ± 0.98 (38) & 1018.00, 0.211 & 1.74, 0.276 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.36 ± 0.73 (38) & 1079.00, 0.410 & 0.51, 0.631 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.16 ± 0.01 (38) & 675.00, 0.000 & 0.05, 0.003 \\
Specificity & 0.47 ± 0.03 (63) & 0.48 ± 0.04 (38) & 1206.00, 0.952 & 0.01, 0.873 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (38) & 835.00, 0.011 & 0.06, 0.004 \\
\bottomrule
\end{tabular}
,Baseline I,30 Hz,MWU,PRS
Average rate,8.96 ± 0.80 (63),7.61 ± 0.87 (38),"1081.00, 0.418","0.27, 0.804"
Gridness,0.53 ± 0.05 (63),0.48 ± 0.06 (38),"1094.00, 0.472","0.08, 0.354"
Sparsity,0.63 ± 0.02 (63),0.64 ± 0.03 (38),"1261.00, 0.656","0.03, 0.648"
Selectivity,5.76 ± 0.40 (63),6.42 ± 0.60 (38),"1276.00, 0.582","0.86, 0.292"
Information specificity,0.24 ± 0.03 (63),0.22 ± 0.03 (38),"1076.00, 0.398","0.05, 0.159"
Max rate,37.39 ± 1.91 (63),33.49 ± 1.89 (38),"1027.00, 0.235","3.99, 0.191"
Information rate,1.31 ± 0.08 (63),0.98 ± 0.09 (38),"797.00, 0.005","0.32, 0.049"
Interspike interval cv,2.39 ± 0.10 (63),2.23 ± 0.11 (38),"1100.00, 0.499","0.01, 0.991"
In-field mean rate,14.88 ± 1.05 (63),12.21 ± 0.98 (38),"1018.00, 0.211","1.74, 0.273"
Out-field mean rate,6.37 ± 0.67 (63),5.36 ± 0.73 (38),"1079.00, 0.410","0.51, 0.641"
Burst event ratio,0.22 ± 0.01 (63),0.16 ± 0.01 (38),"675.00, 0.000","0.05, 0.004"
Specificity,0.47 ± 0.03 (63),0.48 ± 0.04 (38),"1206.00, 0.952","0.01, 0.875"
Speed score,0.14 ± 0.01 (63),0.11 ± 0.01 (38),"835.00, 0.011","0.06, 0.004"

1 \begin{tabular}{lllll} Baseline I 30 Hz MWU PRS
2 \toprule Average rate 8.96 ± 0.80 (63) 7.61 ± 0.87 (38) 1081.00, 0.418 0.27, 0.804
3 {} & Baseline I & 30 Hz & MWU & PRS \\ Gridness 0.53 ± 0.05 (63) 0.48 ± 0.06 (38) 1094.00, 0.472 0.08, 0.354
4 \midrule Sparsity 0.63 ± 0.02 (63) 0.64 ± 0.03 (38) 1261.00, 0.656 0.03, 0.648
5 Average rate & 8.96 ± 0.80 (63) & 7.61 ± 0.87 (38) & 1081.00, 0.418 & 0.27, 0.806 \\ Selectivity 5.76 ± 0.40 (63) 6.42 ± 0.60 (38) 1276.00, 0.582 0.86, 0.292
6 Gridness & 0.53 ± 0.05 (63) & 0.48 ± 0.06 (38) & 1094.00, 0.472 & 0.08, 0.361 \\ Information specificity 0.24 ± 0.03 (63) 0.22 ± 0.03 (38) 1076.00, 0.398 0.05, 0.159
7 Sparsity & 0.63 ± 0.02 (63) & 0.64 ± 0.03 (38) & 1261.00, 0.656 & 0.03, 0.638 \\ Max rate 37.39 ± 1.91 (63) 33.49 ± 1.89 (38) 1027.00, 0.235 3.99, 0.191
8 Selectivity & 5.76 ± 0.40 (63) & 6.42 ± 0.60 (38) & 1276.00, 0.582 & 0.86, 0.293 \\ Information rate 1.31 ± 0.08 (63) 0.98 ± 0.09 (38) 797.00, 0.005 0.32, 0.049
9 Information specificity & 0.24 ± 0.03 (63) & 0.22 ± 0.03 (38) & 1076.00, 0.398 & 0.05, 0.165 \\ Interspike interval cv 2.39 ± 0.10 (63) 2.23 ± 0.11 (38) 1100.00, 0.499 0.01, 0.991
10 Max rate & 37.39 ± 1.91 (63) & 33.49 ± 1.89 (38) & 1027.00, 0.235 & 3.99, 0.188 \\ In-field mean rate 14.88 ± 1.05 (63) 12.21 ± 0.98 (38) 1018.00, 0.211 1.74, 0.273
11 Information rate & 1.31 ± 0.08 (63) & 0.98 ± 0.09 (38) & 797.00, 0.005 & 0.32, 0.047 \\ Out-field mean rate 6.37 ± 0.67 (63) 5.36 ± 0.73 (38) 1079.00, 0.410 0.51, 0.641
12 Interspike interval cv & 2.39 ± 0.10 (63) & 2.23 ± 0.11 (38) & 1100.00, 0.499 & 0.01, 0.993 \\ Burst event ratio 0.22 ± 0.01 (63) 0.16 ± 0.01 (38) 675.00, 0.000 0.05, 0.004
13 In-field mean rate & 14.88 ± 1.05 (63) & 12.21 ± 0.98 (38) & 1018.00, 0.211 & 1.74, 0.276 \\ Specificity 0.47 ± 0.03 (63) 0.48 ± 0.04 (38) 1206.00, 0.952 0.01, 0.875
14 Out-field mean rate & 6.37 ± 0.67 (63) & 5.36 ± 0.73 (38) & 1079.00, 0.410 & 0.51, 0.631 \\ Speed score 0.14 ± 0.01 (63) 0.11 ± 0.01 (38) 835.00, 0.011 0.06, 0.004
Burst event ratio & 0.22 ± 0.01 (63) & 0.16 ± 0.01 (38) & 675.00, 0.000 & 0.05, 0.003 \\
Specificity & 0.47 ± 0.03 (63) & 0.48 ± 0.04 (38) & 1206.00, 0.952 & 0.01, 0.873 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (38) & 835.00, 0.011 & 0.06, 0.004 \\
\bottomrule
\end{tabular}

24
actions/comparisons-gridcells/data/statistics/statistics_b_i_30.tex
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@ -2,18 +2,18 @@
\toprule
{} & Baseline I & 30 Hz & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 7.61 ± 0.87 (38) & 1081.00, 0.418 & 0.27, 0.806 \\
Gridness & 0.53 ± 0.05 (63) & 0.48 ± 0.06 (38) & 1094.00, 0.472 & 0.08, 0.361 \\
Sparsity & 0.63 ± 0.02 (63) & 0.64 ± 0.03 (38) & 1261.00, 0.656 & 0.03, 0.638 \\
Selectivity & 5.76 ± 0.40 (63) & 6.42 ± 0.60 (38) & 1276.00, 0.582 & 0.86, 0.293 \\
Information specificity & 0.24 ± 0.03 (63) & 0.22 ± 0.03 (38) & 1076.00, 0.398 & 0.05, 0.165 \\
Max rate & 37.39 ± 1.91 (63) & 33.49 ± 1.89 (38) & 1027.00, 0.235 & 3.99, 0.188 \\
Information rate & 1.31 ± 0.08 (63) & 0.98 ± 0.09 (38) & 797.00, 0.005 & 0.32, 0.047 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.23 ± 0.11 (38) & 1100.00, 0.499 & 0.01, 0.993 \\
In-field mean rate & 14.88 ± 1.05 (63) & 12.21 ± 0.98 (38) & 1018.00, 0.211 & 1.74, 0.276 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.36 ± 0.73 (38) & 1079.00, 0.410 & 0.51, 0.631 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.16 ± 0.01 (38) & 675.00, 0.000 & 0.05, 0.003 \\
Specificity & 0.47 ± 0.03 (63) & 0.48 ± 0.04 (38) & 1206.00, 0.952 & 0.01, 0.873 \\
Average rate & 8.96 ± 0.80 (63) & 7.61 ± 0.87 (38) & 1081.00, 0.418 & 0.27, 0.804 \\
Gridness & 0.53 ± 0.05 (63) & 0.48 ± 0.06 (38) & 1094.00, 0.472 & 0.08, 0.354 \\
Sparsity & 0.63 ± 0.02 (63) & 0.64 ± 0.03 (38) & 1261.00, 0.656 & 0.03, 0.648 \\
Selectivity & 5.76 ± 0.40 (63) & 6.42 ± 0.60 (38) & 1276.00, 0.582 & 0.86, 0.292 \\
Information specificity & 0.24 ± 0.03 (63) & 0.22 ± 0.03 (38) & 1076.00, 0.398 & 0.05, 0.159 \\
Max rate & 37.39 ± 1.91 (63) & 33.49 ± 1.89 (38) & 1027.00, 0.235 & 3.99, 0.191 \\
Information rate & 1.31 ± 0.08 (63) & 0.98 ± 0.09 (38) & 797.00, 0.005 & 0.32, 0.049 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.23 ± 0.11 (38) & 1100.00, 0.499 & 0.01, 0.991 \\
In-field mean rate & 14.88 ± 1.05 (63) & 12.21 ± 0.98 (38) & 1018.00, 0.211 & 1.74, 0.273 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.36 ± 0.73 (38) & 1079.00, 0.410 & 0.51, 0.641 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.16 ± 0.01 (38) & 675.00, 0.000 & 0.05, 0.004 \\
Specificity & 0.47 ± 0.03 (63) & 0.48 ± 0.04 (38) & 1206.00, 0.952 & 0.01, 0.875 \\
Speed score & 0.14 ± 0.01 (63) & 0.11 ± 0.01 (38) & 835.00, 0.011 & 0.06, 0.004 \\
\bottomrule
\end{tabular}

33
actions/comparisons-gridcells/data/statistics/statistics_base_i_vs_base_ii.csv
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@ -1,19 +1,14 @@
\begin{tabular}{lllll}
\toprule
{} & Baseline I & Baseline II & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 8.29 ± 0.87 (52) & 1756.00, 0.509 & 0.55, 0.674 \\
Gridness & 0.53 ± 0.05 (63) & 0.54 ± 0.04 (52) & 1664.00, 0.886 & 0.04, 0.550 \\
Sparsity & 0.63 ± 0.02 (63) & 0.63 ± 0.03 (52) & 1652.00, 0.940 & 0.03, 0.648 \\
Selectivity & 5.76 ± 0.40 (63) & 5.96 ± 0.46 (52) & 1542.00, 0.592 & 0.66, 0.360 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.02 (52) & 1718.00, 0.655 & 0.01, 0.812 \\
Max rate & 37.39 ± 1.91 (63) & 36.27 ± 2.34 (52) & 1757.00, 0.505 & 1.09, 0.610 \\
Information rate & 1.31 ± 0.08 (63) & 1.13 ± 0.08 (52) & 1929.00, 0.103 & 0.25, 0.140 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.37 ± 0.09 (52) & 1572.00, 0.713 & 0.16, 0.479 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.79 ± 1.12 (52) & 1763.00, 0.484 & 0.68, 0.690 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.80 ± 0.72 (52) & 1737.00, 0.580 & 0.38, 0.586 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.20 ± 0.01 (52) & 1834.00, 0.272 & 0.01, 0.681 \\
Specificity & 0.47 ± 0.03 (63) & 0.47 ± 0.03 (52) & 1588.00, 0.781 & 0.01, 0.765 \\
Speed score & 0.14 ± 0.01 (63) & 0.12 ± 0.01 (52) & 1943.00, 0.087 & 0.04, 0.017 \\
\bottomrule
\end{tabular}
,Baseline I,Baseline II,MWU,PRS
Average rate,8.96 ± 0.80 (63),8.29 ± 0.87 (52),"1756.00, 0.509","0.55, 0.678"
Gridness,0.53 ± 0.05 (63),0.54 ± 0.04 (52),"1664.00, 0.886","0.04, 0.545"
Sparsity,0.63 ± 0.02 (63),0.63 ± 0.03 (52),"1652.00, 0.940","0.03, 0.648"
Selectivity,5.76 ± 0.40 (63),5.96 ± 0.46 (52),"1542.00, 0.592","0.66, 0.360"
Information specificity,0.24 ± 0.03 (63),0.21 ± 0.02 (52),"1718.00, 0.655","0.01, 0.814"
Max rate,37.39 ± 1.91 (63),36.27 ± 2.34 (52),"1757.00, 0.505","1.09, 0.612"
Information rate,1.31 ± 0.08 (63),1.13 ± 0.08 (52),"1929.00, 0.103","0.25, 0.142"
Interspike interval cv,2.39 ± 0.10 (63),2.37 ± 0.09 (52),"1572.00, 0.713","0.16, 0.479"
In-field mean rate,14.88 ± 1.05 (63),13.79 ± 1.12 (52),"1763.00, 0.484","0.68, 0.685"
Out-field mean rate,6.37 ± 0.67 (63),5.80 ± 0.72 (52),"1737.00, 0.580","0.38, 0.577"
Burst event ratio,0.22 ± 0.01 (63),0.20 ± 0.01 (52),"1834.00, 0.272","0.01, 0.670"
Specificity,0.47 ± 0.03 (63),0.47 ± 0.03 (52),"1588.00, 0.781","0.01, 0.766"
Speed score,0.14 ± 0.01 (63),0.12 ± 0.01 (52),"1943.00, 0.087","0.04, 0.015"

1 \begin{tabular}{lllll} Baseline I Baseline II MWU PRS
2 \toprule Average rate 8.96 ± 0.80 (63) 8.29 ± 0.87 (52) 1756.00, 0.509 0.55, 0.678
3 {} & Baseline I & Baseline II & MWU & PRS \\ Gridness 0.53 ± 0.05 (63) 0.54 ± 0.04 (52) 1664.00, 0.886 0.04, 0.545
4 \midrule Sparsity 0.63 ± 0.02 (63) 0.63 ± 0.03 (52) 1652.00, 0.940 0.03, 0.648
5 Average rate & 8.96 ± 0.80 (63) & 8.29 ± 0.87 (52) & 1756.00, 0.509 & 0.55, 0.674 \\ Selectivity 5.76 ± 0.40 (63) 5.96 ± 0.46 (52) 1542.00, 0.592 0.66, 0.360
6 Gridness & 0.53 ± 0.05 (63) & 0.54 ± 0.04 (52) & 1664.00, 0.886 & 0.04, 0.550 \\ Information specificity 0.24 ± 0.03 (63) 0.21 ± 0.02 (52) 1718.00, 0.655 0.01, 0.814
7 Sparsity & 0.63 ± 0.02 (63) & 0.63 ± 0.03 (52) & 1652.00, 0.940 & 0.03, 0.648 \\ Max rate 37.39 ± 1.91 (63) 36.27 ± 2.34 (52) 1757.00, 0.505 1.09, 0.612
8 Selectivity & 5.76 ± 0.40 (63) & 5.96 ± 0.46 (52) & 1542.00, 0.592 & 0.66, 0.360 \\ Information rate 1.31 ± 0.08 (63) 1.13 ± 0.08 (52) 1929.00, 0.103 0.25, 0.142
9 Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.02 (52) & 1718.00, 0.655 & 0.01, 0.812 \\ Interspike interval cv 2.39 ± 0.10 (63) 2.37 ± 0.09 (52) 1572.00, 0.713 0.16, 0.479
10 Max rate & 37.39 ± 1.91 (63) & 36.27 ± 2.34 (52) & 1757.00, 0.505 & 1.09, 0.610 \\ In-field mean rate 14.88 ± 1.05 (63) 13.79 ± 1.12 (52) 1763.00, 0.484 0.68, 0.685
11 Information rate & 1.31 ± 0.08 (63) & 1.13 ± 0.08 (52) & 1929.00, 0.103 & 0.25, 0.140 \\ Out-field mean rate 6.37 ± 0.67 (63) 5.80 ± 0.72 (52) 1737.00, 0.580 0.38, 0.577
12 Interspike interval cv & 2.39 ± 0.10 (63) & 2.37 ± 0.09 (52) & 1572.00, 0.713 & 0.16, 0.479 \\ Burst event ratio 0.22 ± 0.01 (63) 0.20 ± 0.01 (52) 1834.00, 0.272 0.01, 0.670
13 In-field mean rate & 14.88 ± 1.05 (63) & 13.79 ± 1.12 (52) & 1763.00, 0.484 & 0.68, 0.690 \\ Specificity 0.47 ± 0.03 (63) 0.47 ± 0.03 (52) 1588.00, 0.781 0.01, 0.766
14 Out-field mean rate & 6.37 ± 0.67 (63) & 5.80 ± 0.72 (52) & 1737.00, 0.580 & 0.38, 0.586 \\ Speed score 0.14 ± 0.01 (63) 0.12 ± 0.01 (52) 1943.00, 0.087 0.04, 0.015
Burst event ratio & 0.22 ± 0.01 (63) & 0.20 ± 0.01 (52) & 1834.00, 0.272 & 0.01, 0.681 \\
Specificity & 0.47 ± 0.03 (63) & 0.47 ± 0.03 (52) & 1588.00, 0.781 & 0.01, 0.765 \\
Speed score & 0.14 ± 0.01 (63) & 0.12 ± 0.01 (52) & 1943.00, 0.087 & 0.04, 0.017 \\
\bottomrule
\end{tabular}

20
actions/comparisons-gridcells/data/statistics/statistics_base_i_vs_base_ii.tex
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@ -2,18 +2,18 @@
\toprule
{} & Baseline I & Baseline II & MWU & PRS \\
\midrule
Average rate & 8.96 ± 0.80 (63) & 8.29 ± 0.87 (52) & 1756.00, 0.509 & 0.55, 0.674 \\
Gridness & 0.53 ± 0.05 (63) & 0.54 ± 0.04 (52) & 1664.00, 0.886 & 0.04, 0.550 \\
Average rate & 8.96 ± 0.80 (63) & 8.29 ± 0.87 (52) & 1756.00, 0.509 & 0.55, 0.678 \\
Gridness & 0.53 ± 0.05 (63) & 0.54 ± 0.04 (52) & 1664.00, 0.886 & 0.04, 0.545 \\
Sparsity & 0.63 ± 0.02 (63) & 0.63 ± 0.03 (52) & 1652.00, 0.940 & 0.03, 0.648 \\
Selectivity & 5.76 ± 0.40 (63) & 5.96 ± 0.46 (52) & 1542.00, 0.592 & 0.66, 0.360 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.02 (52) & 1718.00, 0.655 & 0.01, 0.812 \\
Max rate & 37.39 ± 1.91 (63) & 36.27 ± 2.34 (52) & 1757.00, 0.505 & 1.09, 0.610 \\
Information rate & 1.31 ± 0.08 (63) & 1.13 ± 0.08 (52) & 1929.00, 0.103 & 0.25, 0.140 \\
Information specificity & 0.24 ± 0.03 (63) & 0.21 ± 0.02 (52) & 1718.00, 0.655 & 0.01, 0.814 \\
Max rate & 37.39 ± 1.91 (63) & 36.27 ± 2.34 (52) & 1757.00, 0.505 & 1.09, 0.612 \\
Information rate & 1.31 ± 0.08 (63) & 1.13 ± 0.08 (52) & 1929.00, 0.103 & 0.25, 0.142 \\
Interspike interval cv & 2.39 ± 0.10 (63) & 2.37 ± 0.09 (52) & 1572.00, 0.713 & 0.16, 0.479 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.79 ± 1.12 (52) & 1763.00, 0.484 & 0.68, 0.690 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.80 ± 0.72 (52) & 1737.00, 0.580 & 0.38, 0.586 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.20 ± 0.01 (52) & 1834.00, 0.272 & 0.01, 0.681 \\
Specificity & 0.47 ± 0.03 (63) & 0.47 ± 0.03 (52) & 1588.00, 0.781 & 0.01, 0.765 \\
Speed score & 0.14 ± 0.01 (63) & 0.12 ± 0.01 (52) & 1943.00, 0.087 & 0.04, 0.017 \\
In-field mean rate & 14.88 ± 1.05 (63) & 13.79 ± 1.12 (52) & 1763.00, 0.484 & 0.68, 0.685 \\
Out-field mean rate & 6.37 ± 0.67 (63) & 5.80 ± 0.72 (52) & 1737.00, 0.580 & 0.38, 0.577 \\
Burst event ratio & 0.22 ± 0.01 (63) & 0.20 ± 0.01 (52) & 1834.00, 0.272 & 0.01, 0.670 \\
Specificity & 0.47 ± 0.03 (63) & 0.47 ± 0.03 (52) & 1588.00, 0.781 & 0.01, 0.766 \\
Speed score & 0.14 ± 0.01 (63) & 0.12 ± 0.01 (52) & 1943.00, 0.087 & 0.04, 0.015 \\
\bottomrule
\end{tabular}

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,Baseline I vs baseline II,Baseline I vs stim I,Baseline II vs stim II,Baseline I vs stim II
Spatial shift,"526.00, 0.099","688.00, 0.718","689.00, 0.725","276.00, 0.098"
Difference in gridness,"819.00, 0.213","841.00, 0.270","757.00, 0.769","495.00, 0.173"
Relative change in max rate,"777.00, 0.345","833.00, 0.251","786.00, 0.491","543.00, 0.032"
Relative change in mean rate,"691.00, 0.936","887.00, 0.094","649.00, 0.522","347.00, 0.551"
1 Baseline I vs baseline II Baseline I vs stim I Baseline II vs stim II Baseline I vs stim II
2 Spatial shift 526.00, 0.099 688.00, 0.718 689.00, 0.725 276.00, 0.098
3 Difference in gridness 819.00, 0.213 841.00, 0.270 757.00, 0.769 495.00, 0.173
4 Relative change in max rate 777.00, 0.345 833.00, 0.251 786.00, 0.491 543.00, 0.032
5 Relative change in mean rate 691.00, 0.936 887.00, 0.094 649.00, 0.522 347.00, 0.551

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actions/longitudinal-comparisons-gridcells/data/statistics/MWU.tex Normal file
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\begin{tabular}{lllll}
\toprule
{} & Baseline I vs baseline II & Baseline I vs stim I & Baseline II vs stim II & Baseline I vs stim II \\
\midrule
Spatial shift & 526.00, 0.099 & 688.00, 0.718 & 689.00, 0.725 & 276.00, 0.098 \\
Difference in gridness & 819.00, 0.213 & 841.00, 0.270 & 757.00, 0.769 & 495.00, 0.173 \\
Relative change in max rate & 777.00, 0.345 & 833.00, 0.251 & 786.00, 0.491 & 543.00, 0.032 \\
Relative change in mean rate & 691.00, 0.936 & 887.00, 0.094 & 649.00, 0.522 & 347.00, 0.551 \\
\bottomrule
\end{tabular}

5
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@ -0,0 +1,5 @@
,Baseline I vs baseline II,Baseline I vs stim I,Baseline II vs stim II,Baseline I vs stim II
Spatial shift,"0.00, 0.186","0.00, 0.887","0.00, 0.572","0.00, 0.240"
Difference in gridness,"0.07, 0.220","0.20, 0.003","0.05, 0.474","0.31, 0.001"
Relative change in max rate,"0.12, 0.138","0.03, 0.726","0.05, 0.579","0.20, 0.038"
Relative change in mean rate,"0.04, 0.417","0.13, 0.005","0.01, 0.689","0.02, 0.711"
1 Baseline I vs baseline II Baseline I vs stim I Baseline II vs stim II Baseline I vs stim II
2 Spatial shift 0.00, 0.186 0.00, 0.887 0.00, 0.572 0.00, 0.240
3 Difference in gridness 0.07, 0.220 0.20, 0.003 0.05, 0.474 0.31, 0.001
4 Relative change in max rate 0.12, 0.138 0.03, 0.726 0.05, 0.579 0.20, 0.038
5 Relative change in mean rate 0.04, 0.417 0.13, 0.005 0.01, 0.689 0.02, 0.711

10
actions/longitudinal-comparisons-gridcells/data/statistics/PRS.tex Normal file
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@ -0,0 +1,10 @@
\begin{tabular}{lllll}
\toprule
{} & Baseline I vs baseline II & Baseline I vs stim I & Baseline II vs stim II & Baseline I vs stim II \\
\midrule
Spatial shift & 0.00, 0.186 & 0.00, 0.887 & 0.00, 0.572 & 0.00, 0.240 \\
Difference in gridness & 0.07, 0.220 & 0.20, 0.003 & 0.05, 0.474 & 0.31, 0.001 \\
Relative change in max rate & 0.12, 0.138 & 0.03, 0.726 & 0.05, 0.579 & 0.20, 0.038 \\
Relative change in mean rate & 0.04, 0.417 & 0.13, 0.005 & 0.01, 0.689 & 0.02, 0.711 \\
\bottomrule
\end{tabular}

5
actions/longitudinal-comparisons-gridcells/data/statistics/summary.csv Normal file
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@ -0,0 +1,5 @@
,Baseline I vs baseline I,Baseline I vs baseline II,Baseline I vs stim I,Baseline II vs stim II,Baseline I vs stim II
Spatial shift,0.03 ± 0.01 (66),0.03 ± 0.00 (21),0.02 ± 0.00 (22),0.02 ± 0.00 (22),0.03 ± 0.00 (12)
Difference in gridness,-0.02 ± 0.03 (66),-0.05 ± 0.08 (21),-0.09 ± 0.11 (22),-0.03 ± 0.09 (22),-0.20 ± 0.14 (12)
Relative change in max rate,0.05 ± 0.03 (65),0.00 ± 0.07 (21),-0.04 ± 0.07 (22),0.03 ± 0.07 (22),-0.12 ± 0.09 (12)
Relative change in mean rate,0.02 ± 0.03 (65),0.09 ± 0.11 (21),-0.03 ± 0.08 (22),0.10 ± 0.08 (22),0.20 ± 0.16 (12)
1 Baseline I vs baseline I Baseline I vs baseline II Baseline I vs stim I Baseline II vs stim II Baseline I vs stim II
2 Spatial shift 0.03 ± 0.01 (66) 0.03 ± 0.00 (21) 0.02 ± 0.00 (22) 0.02 ± 0.00 (22) 0.03 ± 0.00 (12)
3 Difference in gridness -0.02 ± 0.03 (66) -0.05 ± 0.08 (21) -0.09 ± 0.11 (22) -0.03 ± 0.09 (22) -0.20 ± 0.14 (12)
4 Relative change in max rate 0.05 ± 0.03 (65) 0.00 ± 0.07 (21) -0.04 ± 0.07 (22) 0.03 ± 0.07 (22) -0.12 ± 0.09 (12)
5 Relative change in mean rate 0.02 ± 0.03 (65) 0.09 ± 0.11 (21) -0.03 ± 0.08 (22) 0.10 ± 0.08 (22) 0.20 ± 0.16 (12)

10
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@ -0,0 +1,10 @@
\begin{tabular}{llllll}
\toprule
{} & Baseline I vs baseline I & Baseline I vs baseline II & Baseline I vs stim I & Baseline II vs stim II & Baseline I vs stim II \\
\midrule
Spatial shift & 0.03 ± 0.01 (66) & 0.03 ± 0.00 (21) & 0.02 ± 0.00 (22) & 0.02 ± 0.00 (22) & 0.03 ± 0.00 (12) \\
Difference in gridness & -0.02 ± 0.03 (66) & -0.05 ± 0.08 (21) & -0.09 ± 0.11 (22) & -0.03 ± 0.09 (22) & -0.20 ± 0.14 (12) \\
Relative change in max rate & 0.05 ± 0.03 (65) & 0.00 ± 0.07 (21) & -0.04 ± 0.07 (22) & 0.03 ± 0.07 (22) & -0.12 ± 0.09 (12) \\
Relative change in mean rate & 0.02 ± 0.03 (65) & 0.09 ± 0.11 (21) & -0.03 ± 0.08 (22) & 0.10 ± 0.08 (22) & 0.20 ± 0.16 (12) \\
\bottomrule
\end{tabular}

328
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@ -13115,7 +13115,7 @@ div#notebook {
<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">load_ext</span> autoreload
@ -13129,7 +13129,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[167]:</div>
<div class="prompt input_prompt">In&nbsp;[3]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
@ -13173,6 +13173,30 @@ div#notebook {
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
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<div class="output_subarea output_stream output_stderr output_text">
<pre>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)
</pre>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
@ -13189,7 +13213,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[3]:</div>
<div class="prompt input_prompt">In&nbsp;[4]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># %matplotlib notebook</span>
@ -13203,7 +13227,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[4]:</div>
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">project_path</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">project_path</span><span class="p">()</span>
@ -13229,7 +13253,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">statistics_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">&#39;calculate-statistics&#39;</span><span class="p">]</span>
@ -13252,7 +13276,7 @@ div#notebook {
<div class="output_area">
<div class="prompt output_prompt">Out[5]:</div>
<div class="prompt output_prompt">Out[6]:</div>
@ -13433,7 +13457,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">statistics</span><span class="p">[</span><span class="s1">&#39;unit_day&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">statistics</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">unit_idnum</span><span class="p">)</span> <span class="o">+</span> <span class="s1">&#39;_&#39;</span> <span class="o">+</span> <span class="n">x</span><span class="o">.</span><span class="n">action</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="p">)[</span><span class="mi">1</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
@ -13446,7 +13470,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="prompt input_prompt">In&nbsp;[8]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stim_response_action</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">&#39;stimulus-response&#39;</span><span class="p">]</span>
@ -13460,7 +13484,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[8]:</div>
<div class="prompt input_prompt">In&nbsp;[9]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">statistics</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">merge</span><span class="p">(</span><span class="n">statistics</span><span class="p">,</span> <span class="n">stim_response_results</span><span class="p">,</span> <span class="n">how</span><span class="o">=</span><span class="s1">&#39;left&#39;</span><span class="p">)</span>
@ -13473,7 +13497,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[9]:</div>
<div class="prompt input_prompt">In&nbsp;[10]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s1">&#39;N cells:&#39;</span><span class="p">,</span><span class="n">statistics</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
@ -13504,7 +13528,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[10]:</div>
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">shuffling</span> <span class="o">=</span> <span class="n">actions</span><span class="p">[</span><span class="s1">&#39;shuffling&#39;</span><span class="p">]</span>
@ -13522,7 +13546,7 @@ div#notebook {
<div class="output_area">
<div class="prompt output_prompt">Out[10]:</div>
<div class="prompt output_prompt">Out[11]:</div>
@ -13630,7 +13654,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[11]:</div>
<div class="prompt input_prompt">In&nbsp;[12]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">action_columns</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;action&#39;</span><span class="p">,</span> <span class="s1">&#39;channel_group&#39;</span><span class="p">,</span> <span class="s1">&#39;unit_name&#39;</span><span class="p">]</span>
@ -13651,7 +13675,7 @@ div#notebook {
<div class="output_area">
<div class="prompt output_prompt">Out[11]:</div>
<div class="prompt output_prompt">Out[12]:</div>
@ -13839,7 +13863,7 @@ div#notebook {
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[12]:</div>
<div class="prompt input_prompt">In&nbsp;[13]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data</span><span class="o">.</span><span class="n">groupby</span><span class="p">(</span><span class="s1">&#39;stimulated&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">count</span><span class="p">()[</span><span class="s1">&#39;action&#39;</span><span class="p">]</span>
@ -13855,7 +13879,7 @@ div#notebook {
<div class="output_area">
<div class="prompt output_prompt">Out[12]:</div>
<div class="prompt output_prompt">Out[13]:</div>
@ -13882,7 +13906,7 @@ Name: action, dtype: int64</pre>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[13]:</div>
<div class="prompt input_prompt">In&nbsp;[14]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">query</span> <span class="o">=</span> <span class="p">(</span>
@ -13929,7 +13953,7 @@ Number of animals 4
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[193]:</div>
<div class="prompt input_prompt">In&nbsp;[17]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">once_a_gridcell</span> <span class="o">=</span> <span class="n">statistics</span><span class="p">[</span><span class="n">statistics</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">sessions_above_threshold</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">values</span><span class="p">)]</span>
@ -13942,21 +13966,7 @@ Number of animals 4
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[172]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">once_a_gridcell</span> <span class="o">=</span> <span class="n">statistics</span><span class="p">[</span><span class="n">statistics</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span>
<span class="n">sessions_above_threshold</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;baseline and Hz11&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">values</span><span class="p">)]</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[194]:</div>
<div class="prompt input_prompt">In&nbsp;[18]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;Number of gridcells&quot;</span><span class="p">,</span> <span class="n">once_a_gridcell</span><span class="o">.</span><span class="n">unit_idnum</span><span class="o">.</span><span class="n">nunique</span><span class="p">())</span>
@ -13998,7 +14008,7 @@ Number of animals 4
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[195]:</div>
<div class="prompt input_prompt">In&nbsp;[19]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_i</span> <span class="o">=</span> <span class="n">once_a_gridcell</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s1">&#39;baseline and Hz11&#39;</span><span class="p">)</span>
@ -14042,7 +14052,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[196]:</div>
<div class="prompt input_prompt">In&nbsp;[20]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_ids</span> <span class="o">=</span> <span class="n">baseline_i</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span>
@ -14055,7 +14065,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[197]:</div>
<div class="prompt input_prompt">In&nbsp;[21]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_ids</span>
@ -14071,7 +14081,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
<div class="output_area">
<div class="prompt output_prompt">Out[197]:</div>
<div class="prompt output_prompt">Out[21]:</div>
@ -14103,7 +14113,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[198]:</div>
<div class="prompt input_prompt">In&nbsp;[22]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stimulated_11_sub</span> <span class="o">=</span> <span class="n">stimulated_11</span><span class="p">[</span><span class="n">stimulated_11</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">baseline_ids</span><span class="p">)]</span>
@ -14116,7 +14126,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[199]:</div>
<div class="prompt input_prompt">In&nbsp;[23]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_ids_11</span> <span class="o">=</span> <span class="n">stimulated_11_sub</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">unique</span><span class="p">()</span>
@ -14129,7 +14139,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[200]:</div>
<div class="prompt input_prompt">In&nbsp;[24]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">baseline_i_sub</span> <span class="o">=</span> <span class="n">baseline_i</span><span class="p">[</span><span class="n">baseline_i</span><span class="o">.</span><span class="n">unit_day</span><span class="o">.</span><span class="n">isin</span><span class="p">(</span><span class="n">baseline_ids_11</span><span class="p">)]</span>
@ -14149,7 +14159,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[201]:</div>
<div class="prompt input_prompt">In&nbsp;[25]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">max_speed</span> <span class="o">=</span> <span class="o">.</span><span class="mi">5</span> <span class="c1"># m/s only used for speed score</span>
@ -14175,7 +14185,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[202]:</div>
<div class="prompt input_prompt">In&nbsp;[26]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_loader</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">Data</span><span class="p">(</span>
@ -14193,7 +14203,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[203]:</div>
<div class="prompt input_prompt">In&nbsp;[27]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">find_grid_fields</span><span class="p">(</span><span class="n">rate_map</span><span class="p">,</span> <span class="n">sigma</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mf">2.5</span><span class="p">):</span>
@ -14229,7 +14239,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">get_data</span><span class="p">(</span><span class="n">row</span><span class="p">):</span>
@ -14262,7 +14272,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">compute_field_spikes</span><span class="p">(</span><span class="n">row</span><span class="p">,</span> <span class="n">plot</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">z1</span><span class="o">=</span><span class="mf">5e-3</span><span class="p">,</span> <span class="n">z2</span><span class="o">=</span><span class="mf">11e-3</span><span class="p">,</span> <span class="n">surrogate_fields</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
@ -14348,7 +14358,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">plot_stim_field_spikes</span><span class="p">(</span><span class="n">row</span><span class="p">,</span> <span class="n">t1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">t2</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span> <span class="n">z1_base</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">z2_base</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">z1_stim</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">z2_stim</span><span class="o">=</span><span class="mi">11</span><span class="p">,</span> <span class="n">colors</span><span class="o">=</span><span class="p">[</span><span class="s1">&#39;k&#39;</span><span class="p">,</span><span class="s1">&#39;r&#39;</span><span class="p">]):</span>
@ -15661,7 +15671,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">&#39;axes&#39;</span><span class="p">,</span> <span class="n">titlesize</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
@ -15714,7 +15724,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class="prompt input_prompt">In&nbsp;[254]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_11</span> <span class="o">=</span> <span class="p">[]</span>
@ -15742,7 +15752,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class="prompt input_prompt">In&nbsp;[257]:</div>
<div class="prompt input_prompt">In&nbsp;[33]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_11</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results_stim_stim_11</span><span class="p">)</span>
@ -15759,7 +15769,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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@ -15856,7 +15866,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class="prompt input_prompt">In&nbsp;[255]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_30</span> <span class="o">=</span> <span class="p">[]</span>
@ -15884,7 +15894,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
</div>
<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In&nbsp;[258]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_30</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">results_stim_stim_30</span><span class="p">)</span>
@ -15901,7 +15911,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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@ -16142,7 +16152,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class="prompt input_prompt">In&nbsp;[336]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_all</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">results_stim_stim_11</span><span class="p">,</span> <span class="n">results_stim_stim_30</span><span class="p">])</span>
@ -16155,7 +16165,7 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">rc</span><span class="p">(</span><span class="s1">&#39;axes&#39;</span><span class="p">,</span> <span class="n">titlesize</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
@ -16273,16 +16283,147 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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<div class=" highlight hl-ipython3"><pre><span></span>
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">summarize</span><span class="p">(</span><span class="n">data</span><span class="p">):</span>
<span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:.2f}</span><span class="s2"> ± </span><span class="si">{:.2f}</span><span class="s2"> (</span><span class="si">{}</span><span class="s2">)&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span> <span class="n">data</span><span class="o">.</span><span class="n">sem</span><span class="p">(),</span> <span class="nb">sum</span><span class="p">(</span><span class="o">~</span><span class="n">np</span><span class="o">.</span><span class="n">isnan</span><span class="p">(</span><span class="n">data</span><span class="p">)))</span>
<span class="k">def</span> <span class="nf">Wilcoxon</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">keys</span><span class="p">):</span>
<span class="sd">&#39;&#39;&#39;</span>
<span class="sd"> Wilcoxon</span>
<span class="sd"> &#39;&#39;&#39;</span>
<span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span> <span class="o">=</span> <span class="n">scipy</span><span class="o">.</span><span class="n">stats</span><span class="o">.</span><span class="n">wilcoxon</span><span class="p">(</span>
<span class="n">df</span><span class="p">[</span><span class="n">keys</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
<span class="n">df</span><span class="p">[</span><span class="n">keys</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span><span class="o">.</span><span class="n">dropna</span><span class="p">(),</span>
<span class="n">alternative</span><span class="o">=</span><span class="s1">&#39;two-sided&#39;</span><span class="p">)</span>
<span class="k">return</span> <span class="s2">&quot;</span><span class="si">{:.2f}</span><span class="s2">, </span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">Uvalue</span><span class="p">,</span> <span class="n">pvalue</span><span class="p">)</span>
</pre></div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">results_stim_stim_all</span><span class="o">.</span><span class="n">base_in_field</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
</pre></div>
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<pre>&#39;0.48 ± 0.02 (101)&#39;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">stat</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">()</span>
<span class="n">stat</span><span class="p">[</span><span class="s1">&#39;Combined&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results_stim_stim_all</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
<span class="n">stat</span><span class="p">[</span><span class="s1">&#39;11 Hz&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results_stim_stim_11</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
<span class="n">stat</span><span class="p">[</span><span class="s1">&#39;30 Hz&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">results_stim_stim_30</span><span class="o">.</span><span class="n">agg</span><span class="p">(</span><span class="n">summarize</span><span class="p">)</span>
<span class="n">stat</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="s1">&#39;W&#39;</span><span class="p">,</span> <span class="s1">&#39;Combined&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">Wilcoxon</span><span class="p">(</span><span class="n">results_stim_stim_all</span><span class="p">,</span> <span class="p">[</span><span class="s1">&#39;base_in_field&#39;</span><span class="p">,</span> <span class="s1">&#39;stim_in_field&#39;</span><span class="p">])</span>
<span class="n">stat</span>
</pre></div>
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<div>
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>Combined</th>
<th>11 Hz</th>
<th>30 Hz</th>
</tr>
</thead>
<tbody>
<tr>
<th>base_in_field</th>
<td>0.48 ± 0.02 (101)</td>
<td>0.47 ± 0.02 (61)</td>
<td>0.48 ± 0.02 (40)</td>
</tr>
<tr>
<th>stim_in_field</th>
<td>0.54 ± 0.01 (101)</td>
<td>0.54 ± 0.02 (61)</td>
<td>0.52 ± 0.02 (40)</td>
</tr>
<tr>
<th>MWU</th>
<td>380.00, 0.000</td>
<td>NaN</td>
<td>NaN</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
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@ -17820,6 +17961,79 @@ Number of gridcells in stimulated 30Hz ms sessions 40
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</div>
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<h1 id="save-to-expipe">save to expipe<a class="anchor-link" href="#save-to-expipe">&#182;</a></h1>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">action</span> <span class="o">=</span> <span class="n">project</span><span class="o">.</span><span class="n">require_action</span><span class="p">(</span><span class="s2">&quot;spikes-in-field&quot;</span><span class="p">)</span>
</pre></div>
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</div>
</div>
</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">copy_tree</span><span class="p">(</span><span class="n">output_path</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">action</span><span class="o">.</span><span class="n">data_path</span><span class="p">()))</span>
</pre></div>
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<pre>[&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.svg&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.svg&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.svg&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_example.png&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_combined.svg&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_combined.png&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.png&#39;,
&#39;/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.png&#39;]</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">septum_mec</span><span class="o">.</span><span class="n">analysis</span><span class="o">.</span><span class="n">registration</span><span class="o">.</span><span class="n">store_notebook</span><span class="p">(</span><span class="n">action</span><span class="p">,</span> <span class="s2">&quot;20_spikes_in_field.ipynb&quot;</span><span class="p">)</span>
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@ -2,7 +2,7 @@
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@ -12,9 +12,23 @@
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@ -763,7 +777,7 @@
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{
"cell_type": "code",
"execution_count": 13,
"execution_count": 14,
"metadata": {},
"outputs": [
{
@ -796,7 +810,7 @@
},
{
"cell_type": "code",
"execution_count": 193,
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
@ -805,17 +819,7 @@
},
{
"cell_type": "code",
"execution_count": 172,
"metadata": {},
"outputs": [],
"source": [
"once_a_gridcell = statistics[statistics.unit_day.isin(\n",
" sessions_above_threshold.query('baseline and Hz11').unit_day.values)]"
]
},
{
"cell_type": "code",
"execution_count": 194,
"execution_count": 18,
"metadata": {},
"outputs": [
{
@ -843,7 +847,7 @@
},
{
"cell_type": "code",
"execution_count": 195,
"execution_count": 19,
"metadata": {},
"outputs": [
{
@ -873,7 +877,7 @@
},
{
"cell_type": "code",
"execution_count": 196,
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
@ -882,7 +886,7 @@
},
{
"cell_type": "code",
"execution_count": 197,
"execution_count": 21,
"metadata": {},
"outputs": [
{
@ -906,7 +910,7 @@
" '253_200619', '304_200619', '932_280219'], dtype=object)"
]
},
"execution_count": 197,
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
@ -917,7 +921,7 @@
},
{
"cell_type": "code",
"execution_count": 198,
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
@ -926,7 +930,7 @@
},
{
"cell_type": "code",
"execution_count": 199,
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
@ -935,7 +939,7 @@
},
{
"cell_type": "code",
"execution_count": 200,
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
@ -951,7 +955,7 @@
},
{
"cell_type": "code",
"execution_count": 201,
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
@ -973,7 +977,7 @@
},
{
"cell_type": "code",
"execution_count": 202,
"execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
@ -987,7 +991,7 @@
},
{
"cell_type": "code",
"execution_count": 203,
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
@ -1019,7 +1023,7 @@
},
{
"cell_type": "code",
"execution_count": 204,
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
@ -1048,7 +1052,7 @@
},
{
"cell_type": "code",
"execution_count": 205,
"execution_count": 29,
"metadata": {
"scrolled": false
},
@ -1132,7 +1136,7 @@
},
{
"cell_type": "code",
"execution_count": 342,
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
@ -2041,7 +2045,7 @@
},
{
"cell_type": "code",
"execution_count": 343,
"execution_count": 31,
"metadata": {},
"outputs": [
{
@ -2081,7 +2085,7 @@
},
{
"cell_type": "code",
"execution_count": 254,
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
@ -2105,7 +2109,7 @@
},
{
"cell_type": "code",
"execution_count": 257,
"execution_count": 33,
"metadata": {},
"outputs": [
{
@ -2211,7 +2215,7 @@
"[61 rows x 2 columns]"
]
},
"execution_count": 257,
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
@ -2223,7 +2227,7 @@
},
{
"cell_type": "code",
"execution_count": 255,
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
@ -2247,7 +2251,7 @@
},
{
"cell_type": "code",
"execution_count": 258,
"execution_count": 35,
"metadata": {
"scrolled": true
},
@ -2526,7 +2530,7 @@
"39 0.526316 0.660650"
]
},
"execution_count": 258,
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
@ -2538,7 +2542,7 @@
},
{
"cell_type": "code",
"execution_count": 336,
"execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
@ -2547,7 +2551,7 @@
},
{
"cell_type": "code",
"execution_count": 339,
"execution_count": 37,
"metadata": {},
"outputs": [
{
@ -2646,10 +2650,124 @@
},
{
"cell_type": "code",
"execution_count": 115,
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": []
"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)"
]
},
{
"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": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Combined</th>\n",
" <th>11 Hz</th>\n",
" <th>30 Hz</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>base_in_field</th>\n",
" <td>0.48 ± 0.02 (101)</td>\n",
" <td>0.47 ± 0.02 (61)</td>\n",
" <td>0.48 ± 0.02 (40)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>stim_in_field</th>\n",
" <td>0.54 ± 0.01 (101)</td>\n",
" <td>0.54 ± 0.02 (61)</td>\n",
" <td>0.52 ± 0.02 (40)</td>\n",
" </tr>\n",
" <tr>\n",
" <th>MWU</th>\n",
" <td>380.00, 0.000</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"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",
@ -4101,6 +4219,58 @@
"baseline_i.merge(stimulated_11, on='unit_day', suffixes=['_base', '_stim'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# save to expipe"
]
},
{
"cell_type": "code",
"execution_count": 344,
"metadata": {},
"outputs": [],
"source": [
"action = project.require_action(\"spikes-in-field\")"
]
},
{
"cell_type": "code",
"execution_count": 345,
"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/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",
" '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_combined.svg',\n",
" '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_combined.png',\n",
" '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_30.png',\n",
" '/media/storage/expipe/septum-mec/actions/spikes-in-field/data/figures/stim_field_spikes_11.png']"
]
},
"execution_count": 345,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"copy_tree(output_path, str(action.data_path()))"
]
},
{
"cell_type": "code",
"execution_count": 346,
"metadata": {},
"outputs": [],
"source": [
"septum_mec.analysis.registration.store_notebook(action, \"20_spikes_in_field.ipynb\")"
]
},
{
"cell_type": "code",
"execution_count": null,

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,Combined,11 Hz,30 Hz
base_in_field,0.48 ± 0.02 (101),0.47 ± 0.02 (61),0.48 ± 0.02 (40)
stim_in_field,0.54 ± 0.01 (101),0.54 ± 0.02 (61),0.52 ± 0.02 (40)
Wilcoxon,"380.00, 0.000","35.00, 0.000","143.00, 0.000"
1 Combined 11 Hz 30 Hz
2 base_in_field 0.48 ± 0.02 (101) 0.47 ± 0.02 (61) 0.48 ± 0.02 (40)
3 stim_in_field 0.54 ± 0.01 (101) 0.54 ± 0.02 (61) 0.52 ± 0.02 (40)
4 Wilcoxon 380.00, 0.000 35.00, 0.000 143.00, 0.000

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\begin{tabular}{llll}
\toprule
{} & Combined & 11 Hz & 30 Hz \\
\midrule
base\_in\_field & 0.48 ± 0.02 (101) & 0.47 ± 0.02 (61) & 0.48 ± 0.02 (40) \\
stim\_in\_field & 0.54 ± 0.01 (101) & 0.54 ± 0.02 (61) & 0.52 ± 0.02 (40) \\
Wilcoxon & 380.00, 0.000 & 35.00, 0.000 & 143.00, 0.000 \\
\bottomrule
\end{tabular}

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\begin{tabular}{lllllllll}
\toprule
{} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\
\midrule
Baseline I & 0.25 ± 0.02 (48) & 0.18 ± 0.02 (48) & 7.78 ± 0.09 (48) & 1.79 ± 0.33 (46) & NaN & NaN & NaN & NaN \\
11 Hz & 0.08 ± 0.00 (44) & 0.03 ± 0.00 (44) & 7.55 ± 0.12 (44) & 5.80 ± 0.50 (43) & 0.05 ± 0.00 (44) & 0.16 ± 0.00 (44) & 0.51 ± 0.04 (44) & 7.14 ± 0.81 (44) \\
Baseline II & 0.24 ± 0.02 (34) & 0.17 ± 0.02 (34) & 7.96 ± 0.09 (34) & 1.23 ± 0.22 (33) & NaN & NaN & NaN & NaN \\
30 Hz & 0.04 ± 0.00 (34) & 0.02 ± 0.00 (34) & 7.74 ± 0.19 (34) & 5.88 ± 0.64 (31) & 0.16 ± 0.02 (34) & 0.14 ± 0.00 (34) & 1.54 ± 0.16 (34) & 45.30 ± 6.54 (34) \\
MWU Baseline I 11 Hz & 2075.00, 0.000 & 2102.00, 0.000 & 1201.50, 0.256 & 253.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline I 11 Hz & 0.15, 0.000 & 0.12, 0.000 & 0.05, 0.679 & 4.74, 0.000 & NaN & NaN & NaN & NaN \\
MWU Baseline I Baseline II & 860.00, 0.682 & 850.00, 0.753 & 645.50, 0.108 & 805.00, 0.651 & NaN & NaN & NaN & NaN \\
PRS Baseline I Baseline II & 0.00, 0.954 & 0.01, 0.612 & 0.30, 0.008 & 0.05, 0.582 & NaN & NaN & NaN & NaN \\
MWU Baseline I 30 Hz & 1629.00, 0.000 & 1629.00, 0.000 & 781.50, 0.749 & 225.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline I 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.20, 0.416 & 4.84, 0.000 & NaN & NaN & NaN & NaN \\
MWU 11 Hz Baseline II & 22.00, 0.000 & 10.00, 0.000 & 524.50, 0.024 & 1328.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS 11 Hz Baseline II & 0.15, 0.000 & 0.12, 0.000 & 0.35, 0.019 & 4.79, 0.000 & NaN & NaN & NaN & NaN \\
MWU 11 Hz 30 Hz & 1299.00, 0.000 & 1275.00, 0.000 & 657.00, 0.361 & 664.00, 0.983 & 248.00, 0.000 & 1408.00, 0.000 & 236.00, 0.000 & 202.00, 0.000 \\
PRS 11 Hz 30 Hz & 0.04, 0.000 & 0.01, 0.000 & 0.25, 0.523 & 0.10, 0.912 & 0.11, 0.000 & 0.02, 0.000 & 1.09, 0.000 & 31.00, 0.000 \\
MWU Baseline II 30 Hz & 1154.00, 0.000 & 1154.00, 0.000 & 604.00, 0.754 & 108.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline II 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.10, 0.582 & 4.89, 0.000 & NaN & NaN & NaN & NaN \\
\bottomrule
\end{tabular}
,Theta energy,Theta peak,Theta freq,Theta half width,Stim energy,Stim half width,Stim p max,Stim strength
Baseline I,0.25 ± 0.02 (48),0.18 ± 0.02 (48),7.78 ± 0.09 (48),1.79 ± 0.33 (46),,,,
11 Hz,0.08 ± 0.00 (44),0.03 ± 0.00 (44),7.55 ± 0.12 (44),5.80 ± 0.50 (43),0.05 ± 0.00 (44),0.16 ± 0.00 (44),0.51 ± 0.04 (44),7.14 ± 0.81 (44)
Baseline II,0.24 ± 0.02 (34),0.17 ± 0.02 (34),7.96 ± 0.09 (34),1.23 ± 0.22 (33),,,,
30 Hz,0.04 ± 0.00 (34),0.02 ± 0.00 (34),7.74 ± 0.19 (34),5.88 ± 0.64 (31),0.16 ± 0.02 (34),0.14 ± 0.00 (34),1.54 ± 0.16 (34),45.30 ± 6.54 (34)
MWU Baseline I 11 Hz,"2075.00, 0.000","2102.00, 0.000","1201.50, 0.256","253.00, 0.000",,,,
PRS Baseline I 11 Hz,"0.15, 0.000","0.12, 0.000","0.05, 0.686","4.74, 0.000",,,,
MWU Baseline I Baseline II,"860.00, 0.682","850.00, 0.753","645.50, 0.108","805.00, 0.651",,,,
PRS Baseline I Baseline II,"0.00, 0.955","0.01, 0.597","0.30, 0.009","0.05, 0.584",,,,
MWU Baseline I 30 Hz,"1629.00, 0.000","1629.00, 0.000","781.50, 0.749","225.00, 0.000",,,,
PRS Baseline I 30 Hz,"0.19, 0.000","0.13, 0.000","0.20, 0.416","4.84, 0.000",,,,
MWU 11 Hz Baseline II,"22.00, 0.000","10.00, 0.000","524.50, 0.024","1328.00, 0.000",,,,
PRS 11 Hz Baseline II,"0.15, 0.000","0.12, 0.000","0.35, 0.020","4.79, 0.000",,,,
MWU 11 Hz 30 Hz,"1299.00, 0.000","1275.00, 0.000","657.00, 0.361","664.00, 0.983","248.00, 0.000","1408.00, 0.000","236.00, 0.000","202.00, 0.000"
PRS 11 Hz 30 Hz,"0.04, 0.000","0.01, 0.000","0.25, 0.510","0.10, 0.909","0.11, 0.000","0.02, 0.000","1.09, 0.000","31.00, 0.000"
MWU Baseline II 30 Hz,"1154.00, 0.000","1154.00, 0.000","604.00, 0.754","108.00, 0.000",,,,
PRS Baseline II 30 Hz,"0.19, 0.000","0.13, 0.000","0.10, 0.577","4.89, 0.000",,,,

1 \begin{tabular}{lllllllll} Theta energy Theta peak Theta freq Theta half width Stim energy Stim half width Stim p max Stim strength
2 \toprule Baseline I 0.25 ± 0.02 (48) 0.18 ± 0.02 (48) 7.78 ± 0.09 (48) 1.79 ± 0.33 (46)
3 {} & Theta energy & Theta peak & Theta freq & Theta half width & Stim energy & Stim half width & Stim p max & Stim strength \\ 11 Hz 0.08 ± 0.00 (44) 0.03 ± 0.00 (44) 7.55 ± 0.12 (44) 5.80 ± 0.50 (43) 0.05 ± 0.00 (44) 0.16 ± 0.00 (44) 0.51 ± 0.04 (44) 7.14 ± 0.81 (44)
4 \midrule Baseline II 0.24 ± 0.02 (34) 0.17 ± 0.02 (34) 7.96 ± 0.09 (34) 1.23 ± 0.22 (33)
5 Baseline I & 0.25 ± 0.02 (48) & 0.18 ± 0.02 (48) & 7.78 ± 0.09 (48) & 1.79 ± 0.33 (46) & NaN & NaN & NaN & NaN \\ 30 Hz 0.04 ± 0.00 (34) 0.02 ± 0.00 (34) 7.74 ± 0.19 (34) 5.88 ± 0.64 (31) 0.16 ± 0.02 (34) 0.14 ± 0.00 (34) 1.54 ± 0.16 (34) 45.30 ± 6.54 (34)
6 11 Hz & 0.08 ± 0.00 (44) & 0.03 ± 0.00 (44) & 7.55 ± 0.12 (44) & 5.80 ± 0.50 (43) & 0.05 ± 0.00 (44) & 0.16 ± 0.00 (44) & 0.51 ± 0.04 (44) & 7.14 ± 0.81 (44) \\ MWU Baseline I 11 Hz 2075.00, 0.000 2102.00, 0.000 1201.50, 0.256 253.00, 0.000
7 Baseline II & 0.24 ± 0.02 (34) & 0.17 ± 0.02 (34) & 7.96 ± 0.09 (34) & 1.23 ± 0.22 (33) & NaN & NaN & NaN & NaN \\ PRS Baseline I 11 Hz 0.15, 0.000 0.12, 0.000 0.05, 0.686 4.74, 0.000
8 30 Hz & 0.04 ± 0.00 (34) & 0.02 ± 0.00 (34) & 7.74 ± 0.19 (34) & 5.88 ± 0.64 (31) & 0.16 ± 0.02 (34) & 0.14 ± 0.00 (34) & 1.54 ± 0.16 (34) & 45.30 ± 6.54 (34) \\ MWU Baseline I Baseline II 860.00, 0.682 850.00, 0.753 645.50, 0.108 805.00, 0.651
9 MWU Baseline I 11 Hz & 2075.00, 0.000 & 2102.00, 0.000 & 1201.50, 0.256 & 253.00, 0.000 & NaN & NaN & NaN & NaN \\ PRS Baseline I Baseline II 0.00, 0.955 0.01, 0.597 0.30, 0.009 0.05, 0.584
10 PRS Baseline I 11 Hz & 0.15, 0.000 & 0.12, 0.000 & 0.05, 0.679 & 4.74, 0.000 & NaN & NaN & NaN & NaN \\ MWU Baseline I 30 Hz 1629.00, 0.000 1629.00, 0.000 781.50, 0.749 225.00, 0.000
11 MWU Baseline I Baseline II & 860.00, 0.682 & 850.00, 0.753 & 645.50, 0.108 & 805.00, 0.651 & NaN & NaN & NaN & NaN \\ PRS Baseline I 30 Hz 0.19, 0.000 0.13, 0.000 0.20, 0.416 4.84, 0.000
12 PRS Baseline I Baseline II & 0.00, 0.954 & 0.01, 0.612 & 0.30, 0.008 & 0.05, 0.582 & NaN & NaN & NaN & NaN \\ MWU 11 Hz Baseline II 22.00, 0.000 10.00, 0.000 524.50, 0.024 1328.00, 0.000
13 MWU Baseline I 30 Hz & 1629.00, 0.000 & 1629.00, 0.000 & 781.50, 0.749 & 225.00, 0.000 & NaN & NaN & NaN & NaN \\ PRS 11 Hz Baseline II 0.15, 0.000 0.12, 0.000 0.35, 0.020 4.79, 0.000
14 PRS Baseline I 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.20, 0.416 & 4.84, 0.000 & NaN & NaN & NaN & NaN \\ MWU 11 Hz 30 Hz 1299.00, 0.000 1275.00, 0.000 657.00, 0.361 664.00, 0.983 248.00, 0.000 1408.00, 0.000 236.00, 0.000 202.00, 0.000
15 MWU 11 Hz Baseline II & 22.00, 0.000 & 10.00, 0.000 & 524.50, 0.024 & 1328.00, 0.000 & NaN & NaN & NaN & NaN \\ PRS 11 Hz 30 Hz 0.04, 0.000 0.01, 0.000 0.25, 0.510 0.10, 0.909 0.11, 0.000 0.02, 0.000 1.09, 0.000 31.00, 0.000
16 PRS 11 Hz Baseline II & 0.15, 0.000 & 0.12, 0.000 & 0.35, 0.019 & 4.79, 0.000 & NaN & NaN & NaN & NaN \\ MWU Baseline II 30 Hz 1154.00, 0.000 1154.00, 0.000 604.00, 0.754 108.00, 0.000
17 MWU 11 Hz 30 Hz & 1299.00, 0.000 & 1275.00, 0.000 & 657.00, 0.361 & 664.00, 0.983 & 248.00, 0.000 & 1408.00, 0.000 & 236.00, 0.000 & 202.00, 0.000 \\ PRS Baseline II 30 Hz 0.19, 0.000 0.13, 0.000 0.10, 0.577 4.89, 0.000
PRS 11 Hz 30 Hz & 0.04, 0.000 & 0.01, 0.000 & 0.25, 0.523 & 0.10, 0.912 & 0.11, 0.000 & 0.02, 0.000 & 1.09, 0.000 & 31.00, 0.000 \\
MWU Baseline II 30 Hz & 1154.00, 0.000 & 1154.00, 0.000 & 604.00, 0.754 & 108.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline II 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.10, 0.582 & 4.89, 0.000 & NaN & NaN & NaN & NaN \\
\bottomrule
\end{tabular}

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@ -7,16 +7,16 @@ Baseline I & 0.25 ± 0.02 (48) & 0.18 ± 0.02 (48) & 7.78 ±
Baseline II & 0.24 ± 0.02 (34) & 0.17 ± 0.02 (34) & 7.96 ± 0.09 (34) & 1.23 ± 0.22 (33) & NaN & NaN & NaN & NaN \\
30 Hz & 0.04 ± 0.00 (34) & 0.02 ± 0.00 (34) & 7.74 ± 0.19 (34) & 5.88 ± 0.64 (31) & 0.16 ± 0.02 (34) & 0.14 ± 0.00 (34) & 1.54 ± 0.16 (34) & 45.30 ± 6.54 (34) \\
MWU Baseline I 11 Hz & 2075.00, 0.000 & 2102.00, 0.000 & 1201.50, 0.256 & 253.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline I 11 Hz & 0.15, 0.000 & 0.12, 0.000 & 0.05, 0.679 & 4.74, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline I 11 Hz & 0.15, 0.000 & 0.12, 0.000 & 0.05, 0.686 & 4.74, 0.000 & NaN & NaN & NaN & NaN \\
MWU Baseline I Baseline II & 860.00, 0.682 & 850.00, 0.753 & 645.50, 0.108 & 805.00, 0.651 & NaN & NaN & NaN & NaN \\
PRS Baseline I Baseline II & 0.00, 0.954 & 0.01, 0.612 & 0.30, 0.008 & 0.05, 0.582 & NaN & NaN & NaN & NaN \\
PRS Baseline I Baseline II & 0.00, 0.955 & 0.01, 0.597 & 0.30, 0.009 & 0.05, 0.584 & NaN & NaN & NaN & NaN \\
MWU Baseline I 30 Hz & 1629.00, 0.000 & 1629.00, 0.000 & 781.50, 0.749 & 225.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline I 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.20, 0.416 & 4.84, 0.000 & NaN & NaN & NaN & NaN \\
MWU 11 Hz Baseline II & 22.00, 0.000 & 10.00, 0.000 & 524.50, 0.024 & 1328.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS 11 Hz Baseline II & 0.15, 0.000 & 0.12, 0.000 & 0.35, 0.019 & 4.79, 0.000 & NaN & NaN & NaN & NaN \\
PRS 11 Hz Baseline II & 0.15, 0.000 & 0.12, 0.000 & 0.35, 0.020 & 4.79, 0.000 & NaN & NaN & NaN & NaN \\
MWU 11 Hz 30 Hz & 1299.00, 0.000 & 1275.00, 0.000 & 657.00, 0.361 & 664.00, 0.983 & 248.00, 0.000 & 1408.00, 0.000 & 236.00, 0.000 & 202.00, 0.000 \\
PRS 11 Hz 30 Hz & 0.04, 0.000 & 0.01, 0.000 & 0.25, 0.523 & 0.10, 0.912 & 0.11, 0.000 & 0.02, 0.000 & 1.09, 0.000 & 31.00, 0.000 \\
PRS 11 Hz 30 Hz & 0.04, 0.000 & 0.01, 0.000 & 0.25, 0.510 & 0.10, 0.909 & 0.11, 0.000 & 0.02, 0.000 & 1.09, 0.000 & 31.00, 0.000 \\
MWU Baseline II 30 Hz & 1154.00, 0.000 & 1154.00, 0.000 & 604.00, 0.754 & 108.00, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline II 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.10, 0.582 & 4.89, 0.000 & NaN & NaN & NaN & NaN \\
PRS Baseline II 30 Hz & 0.19, 0.000 & 0.13, 0.000 & 0.10, 0.577 & 4.89, 0.000 & NaN & NaN & NaN & NaN \\
\bottomrule
\end{tabular}

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