/arbitration

Code supporting the paper for "Neural Arbitration between Social and Individual Learning Systems"

Primary LanguageMATLABGNU General Public License v3.0GPL-3.0

Wager Social Learning fMRI Study

This code is associated with the following article: Diaconescu, Stacy et al., 2020, Neural arbitration between social and individual learning systems, eLife, 10.7554/eLife.54051

Master Thesis of Madeline Stecy (Sep 2015 - Feb 2016) Supervisor: Andreea Diaconescu Supervisor and Sponsor: Philippe Tobler Contributors: Lars Kasper, Christoph Mathys, Chris Burke, Zoltan Nagy Code Review: Lars Kasper

In total, 40 subjects were scanned and analyzed at the SNS lab in Zurich.

This repository contains the code for

  • fMRI preprocessing of the data (SPM 12)
    • in particular, batch reporting of preprocessing quality
  • behavioral modeling via the HGF
  • physiological noise modeling via the PhysIO toolbox
  • integration of behav/phys models into SPM GLM estimation

Installation

Getting Started

Run startup.m in the main code folder to set up the environment and wagad_main.m to run the analysis.