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.
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Lab retreat, Septemeber 2011
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Current Topics
Bayesian Inference in Neural Computation
Computational Models of Drug Addiction
Recurrent network mechanisms in sensory processing and working memory