The Group for Neural Theory was founded in 2005 as part of the Départment d'Etudes Cognitives (DEC) at the Ecole Normale Supérieure (ENS) in Paris. Since January 2009, we are also affiliated with the INSERM Unité 960 (Laboratoire de Neurosciences Cognitives). Our main research goal is to understand the basis of information processing in the brain by identifying links between neural dynamics and neural function. To that end, we investigate a broad range of topics in computational neuroscience, including models of probabilistic inference, feature integration, and statistical learning in neuronal architectures; models of drug addiction; models of spiking and non-spiking recurrent networks; models of short-term memory and decision-making; spike-based learning algorithms; short-term synaptic plasticity; among others.

Lab retreat, Septemeber 2011

Current Topics

Bayesian Inference in Neural Computation

Computational Models of Drug Addiction

Recurrent network mechanisms in sensory processing and working memory

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© Group for Neural Theory - October 20, 2011