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.
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