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Introductory workshop to modeling and model fitting in psychophysics and neuroscience
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README.md

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:

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 Example: Optimization of Rosenbrock's function with BADS

For more visualizations of optimization algorithms at work, see here.

License

Code and scripts in this repository are released under the terms of the MIT License.

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