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statistical_learning

Relational Learning Data processing

This project seeks to investigate how cognitive maps form during statistical learning, using intrcranial EEG (iEEG) data and a single parameter model of behavior. (this is a work in progress)

File Organization

/scripts: scripts that will reproduce main figures and analyses
/functions: functions called in scripts
/data: folder for data and analyses

Preprocessing

Behavior

iEEG

Analysis

Behavior

Analysis

Required Packages

Python (v3.6.3)

pandas=0.23.1
numpy=1.17.0
matplotlib=2.2.2
seaborn=0.9.0
networkx=2.0
scipy=1.3.3

R (v3.4.0)

nationalparkcolors_0.1.0
reshape_0.8.8
lm.beta_1.5-1
plyr_1.8.6
wesanderson_0.3.6
RColorBrewer_1.1-2
lmerTest_3.1-3
lme4_1.1-21
Matrix_1.2-9
aplpack_1.3.3
lmPerm_2.1.0
coin_1.2-1
survival_2.41-3
dplyr_1.0.5
ggplot2_3.3.3

Matlab (v2020A)

fieldtrip-20170830 https://www.fieldtriptoolbox.org/
brainnet viewer (for plotting) https://www.nitrc.org/projects/bnv/
eeglab (for plotting) https://sccn.ucsd.edu/eeglab/download.php

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