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Guillaume Hennequin

Showing results (1-10 of 19) with videos related to

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Elife|April 27, 2017
Neural networks subtract and conquerGuillaume Hennequin
Trends in Cognitive Sciences|October 18, 2018
Null Ain't Dull: New Perspectives on Motor CortexTa-Chu Kao, Guillaume Hennequin
Current Opinion in Neurobiology|September 29, 2019
Neuroscience out of control: control-theoretic perspectives on neural circuit dynamicsTa-Chu Kao, Guillaume Hennequin
Plos Computational Biology|November 19, 2013
Synaptic plasticity in neural networks needs homeostasis with a fast rate detectorFriedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Non-normal amplification in random balanced neuronal networksGuillaume Hennequin, Tim P Vogels, Wulfram Gerstner
Frontiers in Computational Neuroscience|December 17, 2010
STDP in Adaptive Neurons Gives Close-To-Optimal Information TransmissionGuillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister
Neuron|June 20, 2014
Optimal control of transient dynamics in balanced networks supports generation of complex movementsGuillaume Hennequin, Tim P Vogels, Wulfram Gerstner
Elife|September 24, 2024
When and why does motor preparation arise in recurrent neural network models of motor control?Marine Schimel, Ta-Chu Kao, Guillaume Hennequin
Nature Neuroscience|August 12, 2020
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inferenceRodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, et al.
Neuron|March 31, 2022
Adaptive erasure of spurious sequences in sensory cortical circuitsAlberto Bernacchia, József Fiser, Guillaume Hennequin, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Elife|April 27, 2017
Neural networks subtract and conquerGuillaume Hennequin
Trends in Cognitive Sciences|October 18, 2018
Null Ain't Dull: New Perspectives on Motor CortexTa-Chu Kao, Guillaume Hennequin
Current Opinion in Neurobiology|September 29, 2019
Neuroscience out of control: control-theoretic perspectives on neural circuit dynamicsTa-Chu Kao, Guillaume Hennequin
Plos Computational Biology|November 19, 2013
Synaptic plasticity in neural networks needs homeostasis with a fast rate detectorFriedemann Zenke, Guillaume Hennequin, Wulfram Gerstner
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 26, 2012
Non-normal amplification in random balanced neuronal networksGuillaume Hennequin, Tim P Vogels, Wulfram Gerstner
Frontiers in Computational Neuroscience|December 17, 2010
STDP in Adaptive Neurons Gives Close-To-Optimal Information TransmissionGuillaume Hennequin, Wulfram Gerstner, Jean-Pascal Pfister
Neuron|June 20, 2014
Optimal control of transient dynamics in balanced networks supports generation of complex movementsGuillaume Hennequin, Tim P Vogels, Wulfram Gerstner
Elife|September 24, 2024
When and why does motor preparation arise in recurrent neural network models of motor control?Marine Schimel, Ta-Chu Kao, Guillaume Hennequin
Nature Neuroscience|August 12, 2020
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inferenceRodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, et al.
Neuron|March 31, 2022
Adaptive erasure of spurious sequences in sensory cortical circuitsAlberto Bernacchia, József Fiser, Guillaume Hennequin, et al.
Pageof 2