Neuronal algorithms

IBENS



Axe 3 : Réseaux neuronaux, modélisation et intelligence artificielle

Team research topics:  Our group is part of a movement aiming to understand the functions of the brain at cellular and network levels, making use of recent technological breakthroughs in electrophysiology, imaging and optogenetics.

A specificity of our approach is the ability to combine in vitro, in vivo and computational techniques, and we are applying these to study the brain and in particular the cerebellum, a highly organised brain structure involved in the learning and execution of fast, coordinated movements.

We are currently focusing on testing in vivo a new theory we have developed for cerebellar learning, which is based upon a cellular/network implementation of a stochastic gradient descent algorithm; this is explained in our extensive bioRxiv preprint Bouvier et al. (2016). 

Main techniques used:

We combine in vitro, in vivo and computational techniques.

Address :
46 Rue d'Ulm, 75005, Paris

Team leader :
Boris Barbour
Name of co-team leader :

Administrative Contact Name :
VILLA Tommaso

Website : Cliquez ici
Key words : #Cervelet #synapse #apprentissage #plasticité #Cerebellum #synapse #learning #plasticity
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