Using Python for Computational Modelling of Human Data
Given at the University of Alberta

A Jupyter notebook (written in Python) that provides an introduction into validating computational models and fitting models to human data.
This notebook demonstrates:
- How to validate models using parameter recovery
- How to validate models using model recovery
- How to fit human data to a series of models
- How to simulate human performance using computational models
- How to adjudicate between different models
Made for a tutorial given in the Department of Computing Science at the University of Alberta, 2024