Code for Humans Adopt Different Exploration Strategies Depending on the Environment

Python code for generating figures and running the analysis

This repository contains:

  • Code to generate the figures for the paper
  • Summary data (i.e., averaged) for the 30 participants
  • Code to fit the models used in the paper
  • Code to classify trials as exploration or exploitation
  • Code is adopted to work in both stationary and non-stationary environments

Paper was published in Computational Brain and Behaviour in 2023. Made at the University of Alberta, 2023

Thomas Donald Ferguson
Thomas Donald Ferguson
Postdoctoral Researcher, Data Analyst, Computational Neuroscientist