lacerbi/ibl-2020-tutorial

Tutorial on computational modeling and statistical model fitting part of the IBL Computational Neuroscience course (2020).

IBL tutorial on computational modeling and statistical model fitting

This tutorial is part of the internal IBL Computational Neuroscience Course organized by the International Brain Laboratory in Spring 2020. The tutorial instructor for this part of the course is Luigi Acerbi.

Tutorial instructions

• Clone or fork this GitHub repository, or download and unzip the tutorial folder somewhere on your computer.
• To run the tutorial, you will need a standard scientific Python 3.x installation with Jupyter notebook (such as Anaconda).
• You will also need the CMA-ES optimization algorithm (see here). You can install CMA-ES from the command line with pip install cma.
• Then open the Jupyter notebook ibl-intro-model-fitting-notebook.ipynb (you should have Jupyter notebook installed as part of Anaconda).

Additional materials

• Slides of the lectures are available here.
• For any additional question, please email the course instructor at luigi.acerbi@internationalbrainlab.org.

License

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