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Timothée Masquelier

Showing results (21-30 of 36) with videos related to

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Frontiers in Neuroscience|October 13, 2022
Analyzing time-to-first-spike coding schemes: A theoretical approachLina Bonilla, Jacques Gautrais, Simon Thorpe, et al.
Frontiers in Neuroscience|July 30, 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per NeuronMilad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 30, 2009
Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning schemeTimothée Masquelier, Etienne Hugues, Gustavo Deco, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 23, 2018
Emergence of Binocular Disparity Selectivity through Hebbian LearningTushar Chauhan, Timothée Masquelier, Alexandre Montlibert, et al.
Frontiers in Computational Neuroscience|September 20, 2016
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition HarderSaeed R Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Scientific Reports|September 8, 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object RecognitionSaeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 13, 2018
STDP-based spiking deep convolutional neural networks for object recognitionSaeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, et al.
Frontiers in Psychology|August 10, 2017
Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes LongerMatin N Ashtiani, Saeed R Kheradpisheh, Timothée Masquelier, et al.
Frontiers in Neuroscience|May 30, 2023
Optical flow estimation from event-based cameras and spiking neural networksJavier Cuadrado, Ulysse Rançon, Benoit R Cottereau, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 26, 2019
Deep learning in spiking neural networksAmirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, et al.
Pageof 4

Showing results (21-30 of 36) with videos related to

Sort By:
Pageof 4
Frontiers in Neuroscience|October 13, 2022
Analyzing time-to-first-spike coding schemes: A theoretical approachLina Bonilla, Jacques Gautrais, Simon Thorpe, et al.
Frontiers in Neuroscience|July 30, 2019
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per NeuronMilad Mozafari, Mohammad Ganjtabesh, Abbas Nowzari-Dalini, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 30, 2009
Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning schemeTimothée Masquelier, Etienne Hugues, Gustavo Deco, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 23, 2018
Emergence of Binocular Disparity Selectivity through Hebbian LearningTushar Chauhan, Timothée Masquelier, Alexandre Montlibert, et al.
Frontiers in Computational Neuroscience|September 20, 2016
Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition HarderSaeed R Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Scientific Reports|September 8, 2016
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object RecognitionSaeed Reza Kheradpisheh, Masoud Ghodrati, Mohammad Ganjtabesh, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 13, 2018
STDP-based spiking deep convolutional neural networks for object recognitionSaeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, et al.
Frontiers in Psychology|August 10, 2017
Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes LongerMatin N Ashtiani, Saeed R Kheradpisheh, Timothée Masquelier, et al.
Frontiers in Neuroscience|May 30, 2023
Optical flow estimation from event-based cameras and spiking neural networksJavier Cuadrado, Ulysse Rançon, Benoit R Cottereau, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 26, 2019
Deep learning in spiking neural networksAmirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, et al.
Pageof 4