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Frontiers in Computational Neuroscience|February 4, 2020
Unsupervised Learning of Persistent and Sequential ActivityUlises Pereira, Nicolas BrunelNeuron|June 19, 2018
Attractor Dynamics in Networks with Learning Rules Inferred from In Vivo DataUlises Pereira, Nicolas BrunelProceedings of the National Academy of Sciences of the United States of America|November 12, 2020
Characteristics of sequential activity in networks with temporally asymmetric Hebbian learningMaxwell Gillett, Ulises Pereira, Nicolas BrunelCurrent 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.Nature Communications|July 4, 2026
Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortexKrithika Mohan, Ulises Pereira-Obilinovic, Stanislav Srednyak, et al.Cerebral Cortex (New York, N.Y. : 1991)|October 25, 2003
Dynamics and plasticity of stimulus-selective persistent activity in cortical network modelsNicolas BrunelNature Neuroscience|April 12, 2016
Is cortical connectivity optimized for storing information?Nicolas BrunelNeural Computation|April 6, 2006
How noise affects the synchronization properties of recurrent networks of inhibitory neuronsNicolas Brunel, David HanselChaos (Woodbury, N.Y.)|April 2, 2008
Sparsely synchronized neuronal oscillationsNicolas Brunel, Vincent HakimFrontiers in Computational Neuroscience|June 8, 2011
Dynamics of networks of excitatory and inhibitory neurons in response to time-dependent inputsErwan Ledoux, Nicolas BrunelPageof 11