Timothée Masquelier

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Saeed Reza KheradpishehShahid Beheshti UniversityVerified email at sbu.ac.ir
Mohammad GANJTABESHProfessor of Computer Science (University of Tehran)Verified email at ut.ac.ir
Zhaofei YuPeking UniversityVerified email at pku.edu.cn
Bernabe Linares-BarrancoInstituto de Microelectrónica de Sevilla, IMSE-CNM, Universidad de Sevilla, CSICVerified email at imse-cnm.csic.es
Yonghong TianProfessor, School of CS and School of ECE at Peking University, Pengcheng Laboratory, IEEE FellowVerified email at pku.edu.cn
Wei Fang (方维)Peking UniversityVerified email at pku.edu.cn
serrano-gotarredonaInstituto de Microlectronica de Sevilla, CSIC, Universidad de SevillaVerified email at imse-cnm.csic.es
Milad MozafariResearch Scientist at Torus AIVerified email at torus-actions.fr
Tiejun HuangProfessor,School of EE&CS, Peking UniversityVerified email at pku.edu.cn
Amir TavanaeiAmazonVerified email at amazon.com
Anthony S. MaidaSchool of Computing and Informatics, UL LafayetteVerified email at louisiana.edu
Abbas Nowzari-Daliniassociate prof., university of tehranVerified email at ut.ac.ir
GUSTAVO DECOUniversity Pompeu Fabra - Center for Brain and Cognition - ICREAVerified email at upf.edu
Yanqi Chen (陈彦骐)Ph.D., School of Computer Science, Peking UniversityVerified email at pku.edu.cn
Rudy GuyonneauDirector of Research, OryxLABSVerified email at oryxlabs.com
Thomas PellegriniLecturer, University of Toulouse, IRITVerified email at irit.fr
Benoit R CottereauCNRS research director (DR2) at CerCo (Toulouse, France) and IPAL (Singapore) laboratoriesVerified email at cnrs.fr
Ismail Khalfaoui-HassaniPostdoctoral researcher, Forschungszentrum JülichVerified email at fz-juelich.de
Giacomo IndiveriInstitute of Neuroinformatics, University of Zurich and ETH ZurichVerified email at ini.uzh.ch
Themis ProdromakisRegius Chair of Engineering, Centre for Electronics Frontiers, University of EdinburghVerified email at ed.ac.uk

Timothée Masquelier

CNRS Researcher (DR2), Cerco (CNRS-UT3), TMBI (Univ. Toulouse)

Verified email at cnrs.fr - Homepage

AI computational neuroscience deep learning spiking neural networks vision


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Deep learning in spiking neural networks A Tavanaei, M Ghodrati, SR Kheradpisheh, T Masquelier, A Maida Neural Networks 111, 47-63, 2019	1243	2019
STDP-based spiking deep convolutional neural networks for object recognition SR Kheradpisheh, M Ganjtabesh, SJ Thorpe, T Masquelier Neural Networks, 2017	847	2017
Unsupervised learning of visual features through spike timing dependent plasticity T Masquelier, SJ Thorpe PLoS Computational Biology 3 (2), e31, 2007	665	2007
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	619	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	551	2013
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks W Fang, Z Yu, Y Chen, T Masquelier, T Huang, Y Tian arXiv preprint arXiv:2007.05785, 2020	548	2020
Deep residual learning in spiking neural networks W Fang, Z Yu, Y Chen, T Huang, T Masquelier, Y Tian Thirty-Fifth Conference on Neural Information Processing Systems, 2021	418	2021
Competitive STDP-based spike pattern learning T Masquelier, R Guyonneau, SJ Thorpe Neural computation 21 (5), 1259-1276, 2009	398	2009
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	375	2008
Temporal backpropagation for spiking neural networks with one spike per neuron SR Kheradpisheh, T Masquelier International Journal of Neural Systems, 2020	240	2020
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	229*	2019
Deep networks can resemble human feed-forward vision in invariant object recognition SR Kheradpisheh, M Ghodrati, M Ganjtabesh, T Masquelier Scientific reports 6 (1), 32672, 2016	216	2016
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	192	2009
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	191	2018
Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition SR Kheradpisheh, M Ganjtabesh, T Masquelier Neurocomputing 205, 382-392, 2016	144	2016
Spyketorch: Efficient simulation of convolutional spiking neural networks with at most one spike per neuron M Mozafari, M Ganjtabesh, A Nowzari-Dalini, T Masquelier Frontiers in neuroscience 13, 625, 2019	140	2019
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	132	2012
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence W Fang, Y Chen, J Ding, Z Yu, T Masquelier, D Chen, L Huang, H Zhou, ... Science Advances 9 (40), eadi1480, 2023	118	2023
Visualizing a joint future of neuroscience and neuromorphic engineering F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ... Neuron 109 (4), 571-575, 2021	78	2021
Bs4nn: Binarized spiking neural networks with temporal coding and learning SR Kheradpisheh, M Mirsadeghi, T Masquelier Neural Processing Letters, 1-19, 2021	74	2021

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