https://github.com/lacerbi/workshop-bristol-2019
Introductory workshop to modeling and model fitting in psychophysics and neuroscience
https://github.com/lacerbi/workshop-bristol-2019
computational-neuroscience matlab modeling optimization tutorial
Last synced: about 1 year ago
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Introductory workshop to modeling and model fitting in psychophysics and neuroscience
- Host: GitHub
- URL: https://github.com/lacerbi/workshop-bristol-2019
- Owner: lacerbi
- License: mit
- Created: 2019-05-08T06:18:58.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2019-05-09T13:02:56.000Z (about 7 years ago)
- Last Synced: 2025-04-01T05:11:17.123Z (about 1 year ago)
- Topics: computational-neuroscience, matlab, modeling, optimization, tutorial
- Language: MATLAB
- Size: 3 MB
- Stars: 11
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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](http://luigiacerbi.com/tutorials/)).
- **Tutorial slides** are available [here](https://github.com/lacerbi/workshop-bristol-2019/blob/master/docs/acerbi-bristol-workshop-may2019.pdf).
- The **main script** for the tutorial is [ModelingTutorial.m](https://github.com/lacerbi/workshop-bristol-2019/blob/master/ModelingTutorial.m).
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
**Example: Optimization of Rosenbrock's function with BADS** 
For more visualizations of optimization algorithms at work, see [here](https://github.com/lacerbi/optimviz).
## License
Code and scripts in this repository are released under the terms of the [MIT License](https://github.com/lacerbi/workshop-bristol-2019/blob/master/LICENSE).