Analysis scripts (mostly in R) for the analysis of the pacman dataset. While pacman_ieeg has the python scripts for analyses that are (nearly) only brain data, these analyses include both pure behavioral analyses and both brain/behavior analyses.
Basic analyses showing normative behavior in the pilot sample and validation that the timing and online task works as expected. See normative behavior files and analysis/task_validation_sanity_checks/
Method to dynamically predict avoidance behavior in the pacman data using continuous predictors-- including possible brain measures. See analysis/survival/README.md for details
Uses task behavior to predict neural responses via linear mixed effects models. See analysis/frequency_analyses/README.md for details
Implements trial-by-trial theta correlations between different electrode pairs and compares to a null distribution. See analysis/connectivity/README.md for details
Analyses the prolific clinical sample recruited in Fall 2023. See analysis/clinical/README.md for details