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Elife|May 11, 2023
Interplay between external inputs and recurrent dynamics during movement preparation and execution in a network model of motor cortexLudovica Bachschmid-Romano, Nicholas G Hatsopoulos, Nicolas BrunelProceedings of the National Academy of Sciences of the United States of America|June 22, 2007
Efficient supervised learning in networks with binary synapsesCarlo Baldassi, Alfredo Braunstein, Nicolas Brunel, et al.Plos Computational Biology|August 21, 2015
A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural NetworksAlireza Alemi, Carlo Baldassi, Nicolas Brunel, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 6, 2003
Firing-rate resonance in a generalized integrate-and-fire neuron with subthreshold resonanceNicolas Brunel, Vincent Hakim, Magnus J E RichardsonCurrent Opinion in Neurobiology|February 5, 2014
Single neuron dynamics and computationNicolas Brunel, Vincent Hakim, Magnus J E RichardsonProceedings of the National Academy of Sciences of the United States of America|December 17, 2020
Synaptic plasticity rules with physiological calcium levelsYanis Inglebert, Johnatan Aljadeff, Nicolas Brunel, et al.Journal of Neurophysiology|March 4, 2003
From subthreshold to firing-rate resonanceMagnus J E Richardson, Nicolas Brunel, Vincent HakimPlos Computational Biology|January 30, 2023
Bayesian reconstruction of memories stored in neural networks from their connectivitySebastian Goldt, Florent Krzakala, Lenka Zdeborová, et al.Trends in Neurosciences|November 7, 2007
What can we learn from synaptic weight distributions?Boris Barbour, Nicolas Brunel, Vincent Hakim, et al.Current Opinion in Neurobiology|June 27, 2021
From synapse to network: models of information storage and retrieval in neural circuitsJohnatan Aljadeff, Maxwell Gillett, Ulises Pereira Obilinovic, et al.Pageof 593