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CPRO2_learning_release

Public code release for Mill & Cole 2023: "Neural representation dynamics reveal computational principles of cognitive task learning"

Author: Ravi Mill (rdm146@rutgers.edu)

Includes the Matlab (v2019a) function quantify_rule_type_subject.m, which quantifies the strength of compositional and conjunctive neural representations in block-to-block fMRI regional activations evoked by the C-PRO2 paradigm. The remaining files included with the repository are required for the function to run (see details below).

Top of the main function provides a detailed description of the function, as well as input and output variables.

DEPENDENCIES:

  1. Connectome workbench must be installed and accessible to your system path, including the command line version (wb_command), https://www.humanconnectome.org/software/get-connectome-workbench
  2. (Included with the repo) Relevant files from Matlab Gifti toolbox https://github.com/gllmflndn/gifti, allowing for opening (ciftiopen) and saving (ciftisave and ciftisavereset) HCP CIFTI files
  3. (Included with the repo) CAB-NP network partition .dlabel file (CortexSubcortex_ColeAnticevic_NetPartition_wSubcorGSR_parcels_LR.dlabel.nii) from https://github.com/ColeLab/ColeAnticevicNetPartition that links vertex/voxel data to affiliated Glasser atlas regions:

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