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Neural Computation|August 20, 2002
Dynamics of the firing probability of noisy integrate-and-fire neuronsNicolas Fourcaud, Nicolas BrunelPlos Computational Biology|February 26, 2013
Optimal properties of analog perceptrons with excitatory weightsClaudia Clopath, Nicolas BrunelFrontiers in Computational Neuroscience|October 24, 2008
Irregular persistent activity induced by synaptic excitatory feedbackFrancesca Barbieri, Nicolas BrunelElife|August 28, 2024
Dynamic control of sequential retrieval speed in networks with heterogeneous learning rulesMaxwell Gillett, Nicolas BrunelPlos Computational Biology|February 2, 2011
From spiking neuron models to linear-nonlinear modelsSrdjan Ostojic, Nicolas BrunelFrontiers in Computational Neuroscience|October 16, 2010
Mechanisms of induction and maintenance of spike-timing dependent plasticity in biophysical synapse modelsMichael Graupner, Nicolas BrunelJournal of Cognitive Neuroscience|November 20, 2008
Semantic priming in a cortical network modelNicolas Brunel, Frédéric LavigneFrontiers in Neuroscience|November 5, 2008
Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex?Francesca Barbieri, Nicolas BrunelProceedings of the National Academy of Sciences of the United States of America|February 24, 2012
Calcium-based plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic locationMichael Graupner, Nicolas BrunelPhysical Review. E|June 16, 2022
Storage capacity of networks with discrete synapses and sparsely encoded memoriesYu Feng, Nicolas BrunelPageof 11