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StriatalLearning Library

Python Library to model learning of pattern classification task with striatal neurons. Work done during PhD thesis of Gaëtan Vignoud (Inria and CIRB, Collège de France) under the joint-supervision of Laurent Venance (CIRB, Collège de France) and Jonathan Touboul (Math Dept., Brandeis University). All experimental data was collected at the Dynamic and Pathophysiology of Neuronal Networks team at CIRB (https://www.college-de-france.fr/site/en-cirb/venance.htm).

For correspondence use, gaetan.vignoud@gmail.com, jtouboul@brandeis.edu, laurent.venance@college-de-france.fr

Articles/DMS_DLS

Scripts relevant to: Perez, Sylvie and Cui, Yihui and Vignoud, Gaëtan and Perrin, Elodie and Mendes, Alexandre and Touboul, Jonathan and Venance, Laurent, Striatum Expresses Region-Specific Plasticity Consistent with Distinct Memory Abilities. Available at SSRN: https://ssrn.com/abstract=3890377 or http://dx.doi.org/10.2139/ssrn.3890377

Articles/Sequential_Learning_Striatum

Scripts relevant to: Vignoud, Gaetan and Venance, Laurent and Touboul, Jonathan D., Anti-Hebbian plasticity drives sequence learning in striatum, to appear in Nature Communications Biology.

Python Environment

Install conda and use conda env create -file environment.yml