Statistics of spike trains in conductance-based neural networks: Rigorous results

Por Cessac, Bruno
Publicado em 2011

On Dynamics of Integrate-and-Fire Neural Networks with Conductance Based Synapses

Por Cessac, Bruno, Viéville, Thierry
Publicado em 2008

Beyond dynamical mean-field theory of neural networks

Por Muratori, Massimiliano, Cessac, Bruno
Publicado em 2013

A maximum likelihood estimator of neural network synaptic weights

Por Taouali, Wahiba, Cessac, Bruno
Publicado em 2013

Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

Por Cofre, Rodrigo, Cessac, Bruno
Publicado em 2013

Revisiting time discretisation of spiking network models

Por Cessac, Bruno, Viéville, Thierry
Publicado no BMC Neurosci (2007)

A Constructive Mean-Field Analysis of Multi-Population Neural Networks with Random Synaptic Weights and Stochastic Inputs

Por Faugeras, Olivier, Touboul, Jonathan, Cessac, Bruno
Publicado em 2009

EnaS: a new software for neural population analysis in large scale spiking networks

Por Nasser, Hassan, Kraria, Selim, Cessac, Bruno
Publicado em 2013

How Gibbs distributions may naturally arise from synaptic adaptation mechanisms

Por Rostro-Gonzalez Horacio, Cessac Bruno, Vasquez Juan C, Vieville Thierry
Publicado em 2009-07-01

A super-resolution approach for receptive fields estimation of neuronal ensembles

Por Pamplona, Daniela, Hilgen, Gerrit, Cessac, Bruno, Sernagor, Evelyne, Kornprobst, Pierre
Publicado no BMC Neurosci (2015)

PRANAS: A New Platform for Retinal Analysis and Simulation

Por Cessac, Bruno, Kornprobst, Pierre, Kraria, Selim, Nasser, Hassan, Pamplona, Daniela, Portelli, Geoffrey, Viéville, Thierry
Publicado no Front Neuroinform (2017)

Pan-retinal characterisation of Light Responses from Ganglion Cells in the Developing Mouse Retina

Por Hilgen, Gerrit, Pirmoradian, Sahar, Pamplona, Daniela, Kornprobst, Pierre, Cessac, Bruno, Hennig, Matthias H., Sernagor, Evelyne
Publicado no Sci Rep (2017)