Introduction to modeling and model fitting in psychophysics and neuroscience (2019)
This repository contains materials for an introductory workshop to modeling and model fitting in psychophysics and neuroscience (with a focus on optimization and maximum-likelihood fitting), part of which I presented at the Bristol Neuroscience group in May 2019. I gave slightly different versions of this tutorial at several other institutions and summer schools (see here).
To run some of the model-fitting algorithms in the tutorial you need to download and install the following MATLAB toolboxes:
- Bayesian Adaptive Direct Search (BADS): https://github.com/lacerbi/bads
- Variational Bayesian Monte Carlo (VBMC): https://github.com/lacerbi/vbmc
For more info about my work in computational neuroscience and machine learning, follow me on Twitter: https://twitter.com/AcerbiLuigi
For more visualizations of optimization algorithms at work, see here.
Code and scripts in this repository are released under the terms of the MIT License.