Timothée Masquelier
Timothée Masquelier
CNRS Researcher (CR1), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)
Verified email at cnrs.fr - Homepage
Title
Cited by
Cited by
Year
Unsupervised learning of visual features through spike timing dependent plasticity
T Masquelier, SJ Thorpe
PLoS Computational Biology 3 (2), e31, 2007
4432007
On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex
C Zamarreño-Ramos, LA Camuñas-Mesa, JA Pérez-Carrasco, ...
Frontiers in neuroscience 5, 2011
422*2011
STDP and STDP variations with memristors for spiking neuromorphic learning systems
T Serrano-Gotarredona, T Masquelier, T Prodromakis, G Indiveri, ...
Frontiers in Neuroscience 7, 2013
3092013
STDP-based spiking deep convolutional neural networks for object recognition
SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier
Neural Networks, 2017
2772017
Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains
T Masquelier, R Guyonneau, SJ Thorpe
PloS one 3 (1), e1377, 2008
2682008
Competitive STDP-based spike pattern learning
T Masquelier, R Guyonneau, SJ Thorpe
Neural computation 21 (5), 1259-1276, 2009
2662009
Deep learning in spiking neural networks
A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida
Neural Networks 111, 47-63, 2019
2162019
Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme
T Masquelier, E Hugues, G Deco, SJ Thorpe
The Journal of Neuroscience 29 (43), 13484-13493, 2009
1482009
Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model
T Masquelier
Journal of computational neuroscience 32 (3), 425-441, 2012
1182012
Deep networks can resemble human feed-forward vision in invariant object recognition
SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier
Scientific reports 6, 32672, 2016
1142016
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition
SR Kheradpisheh, M Ganjtabesh, T Masquelier
Neurocomputing 205, 382-392, 2016
792016
First-spike-based visual categorization using reward-modulated STDP
M Mozafari, SR Kheradpisheh, T Masquelier, A Nowzari-Dalini, ...
IEEE transactions on neural networks and learning systems 29 (12), 6178-6190, 2018
642018
Neural variability, or lack thereof
T Masquelier
Frontiers in computational neuroscience 7, 7, 2013
612013
Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks
M Mozafari, M Ganjtabesh, A Nowzari-Dalini, SJ Thorpe, T Masquelier
Pattern Recognition 94, 87-95, 2019
56*2019
Learning complex cell invariance from natural videos: A plausibility proof
T Masquelier, T Serre, S Thorpe, T Poggio
MASSACHUSETTS INST OF TECH CAMBRIDGE COMPUTER SCIENCE AND ARTIFICIAL …, 2007
452007
Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity
T Masquelier, SJ Thorpe
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
412010
The role of rhythmic neural synchronization in rest and task conditions
G Deco, A Buehlmann, T Masquelier, E Hugues
Frontiers in human neuroscience 5, 2011
382011
STDP allows fast rate-modulated coding with Poisson-like spike trains
M Gilson, T Masquelier, E Hugues
PLoS Computational Biology 7 (10), e1002231, 2011
332011
Hardware implementation of convolutional STDP for on-line visual feature learning
A Yousefzadeh, T Masquelier, T Serrano-Gotarredona, ...
Circuits and Systems (ISCAS), 2017 IEEE International Symposium on, 1-4, 2017
282017
Acquisition of visual features through probabilistic spike-timing-dependent plasticity
A Tavanaei, T Masquelier, AS Maida
2016 International Joint Conference on Neural Networks (IJCNN), 307-314, 2016
272016
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Articles 1–20