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sfn2019's Introduction

SFN 2019: Uncertainty-based arbitration between incremental and episodic control over decisions

Jonathan Nicholas, Nathaniel Daw, Daphna Shohamy


This repository contains all analyses used to produce the results and figures presented.

  • PDF of the poster

  • analysis_mturk.ipynb: All behavioral analyses for the online participants

  • analysis_lab.ipynb: All behavioral and pupillometry analyses for the lab participants

  • utilities: Contains scripts with functions loaded by the notebooks:

    • behavioral_analysis_functions.py: Functions for loading/cleaning data and plotting the behavioral data
    • pupillometry_analysis_functions.py: Functions for loading, preprocessing, and plotting the eyetracking data

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