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Timothée Masquelier - Publications

CERCO CNRS, Paris, Île-de-France, France 
computational neuroscience

41 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Fang W, Chen Y, Ding J, Yu Z, Masquelier T, Chen D, Huang L, Zhou H, Li G, Tian Y. SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. Science Advances. 9: eadi1480. PMID 37801497 DOI: 10.1126/sciadv.adi1480  0.353
2022 Bonilla L, Gautrais J, Thorpe S, Masquelier T. Analyzing time-to-first-spike coding schemes: A theoretical approach. Frontiers in Neuroscience. 16: 971937. PMID 36225737 DOI: 10.3389/fnins.2022.971937  0.762
2021 Debat G, Chauhan T, Cottereau BR, Masquelier T, Paindavoine M, Baures R. Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers in Computational Neuroscience. 15: 658764. PMID 34108870 DOI: 10.3389/fncom.2021.658764  0.381
2020 Kheradpisheh SR, Masquelier T. Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. International Journal of Neural Systems. 2050027. PMID 32466691 DOI: 10.1142/S0129065720500276  0.812
2019 Mozafari M, Ganjtabesh M, Nowzari-Dalini A, Masquelier T. SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron. Frontiers in Neuroscience. 13: 625. PMID 31354403 DOI: 10.3389/Fnins.2019.00625  0.719
2019 Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A. Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63. PMID 30682710 DOI: 10.1016/J.Neunet.2018.12.002  0.816
2019 Mozafari M, Ganjtabesh M, Nowzari-Dalini A, Thorpe SJ, Masquelier T. Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks Pattern Recognition. 94: 87-95. DOI: 10.1016/J.Patcog.2019.05.015  0.737
2018 Masquelier T, Kheradpisheh SR. Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers in Computational Neuroscience. 12: 74. PMID 30279653 DOI: 10.3389/Fncom.2018.00074  0.805
2018 Chauhan T, Masquelier T, Montlibert A, Cottereau BR. Emergence of binocular disparity selectivity through Hebbian learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30242050 DOI: 10.1523/JNEUROSCI.1259-18.2018  0.421
2018 Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M. First-Spike-Based Visual Categorization Using Reward-Modulated STDP. Ieee Transactions On Neural Networks and Learning Systems. PMID 29993898 DOI: 10.1109/Tnnls.2018.2826721  0.812
2018 Tavanaei A, Masquelier T, Maida A. Representation learning using event-based STDP. Neural Networks : the Official Journal of the International Neural Network Society. 105: 294-303. PMID 29894846 DOI: 10.1016/j.neunet.2018.05.018  0.569
2018 Huth J, Masquelier T, Arleo A. Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers in Neuroinformatics. 12: 9. PMID 29563867 DOI: 10.3389/Fninf.2018.00009  0.612
2017 Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, Masquelier T. STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 99: 56-67. PMID 29328958 DOI: 10.1016/J.Neunet.2017.12.005  0.823
2017 Ashtiani MN, Kheradpisheh SR, Masquelier T, Ganjtabesh M. Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8: 1261. PMID 28790954 DOI: 10.3389/Fpsyg.2017.01261  0.746
2017 Deneux T, Masquelier T, Bermudez MA, Masson GS, Deco G, Vanzetta I. Visual stimulation quenches global alpha range activity in awake primate V4: a case study. Neurophotonics. 4: 031222. PMID 28680907 DOI: 10.1117/1.Nph.4.3.031222  0.339
2017 Masquelier T. STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. Neuroscience. PMID 28668487 DOI: 10.1016/j.neuroscience.2017.06.032  0.494
2017 Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Masquelier T, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2  0.71
2017 Thorpe S, Yousefzadeh A, Martin J, Masquelier T. Unsupervised learning of repeating patterns using a novel STDP based algorithm Journal of Vision. 17: 1079. DOI: 10.1167/17.10.1079  0.738
2016 Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10: 92. PMID 27642281 DOI: 10.3389/Fncom.2016.00092  0.753
2016 Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition. Scientific Reports. 6: 32672. PMID 27601096 DOI: 10.1038/Srep32672  0.756
2016 Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports. 6: 24086. PMID 27063867 DOI: 10.1038/Srep24086  0.403
2016 Kheradpisheh SR, Ganjtabesh M, Masquelier T. Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition Neurocomputing. 205: 382-392. DOI: 10.1016/J.Neucom.2016.04.029  0.796
2014 Masquelier T. Oscillations can reconcile slowly changing stimuli with short neuronal integration and STDP timescales. Network (Bristol, England). 25: 85-96. PMID 24571100 DOI: 10.3109/0954898X.2014.881574  0.531
2014 Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based visual feature learning and detection Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P121  0.44
2014 Portelli G, Barrett J, Sernagor E, Masquelier T, Kornprobst P. Rapid neural coding in the mouse retina with the first wave of spikes Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P120  0.304
2013 Masquelier T, Deco G. Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. Plos One. 8: e75824. PMID 24146781 DOI: 10.1371/Journal.Pone.0075824  0.38
2013 Masquelier T. Neural variability, or lack thereof. Frontiers in Computational Neuroscience. 7: 7. PMID 23444270 DOI: 10.3389/fncom.2013.00007  0.4
2013 Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G, Linares-Barranco B. STDP and STDP variations with memristors for spiking neuromorphic learning systems. Frontiers in Neuroscience. 7: 2. PMID 23423540 DOI: 10.3389/Fnins.2013.00002  0.782
2013 Masquelier T, Gilson M. Optimal spike pattern v.s. noise separation by neurons equipped with STDP Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P142  0.489
2012 Masquelier T. Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Journal of Computational Neuroscience. 32: 425-41. PMID 21938439 DOI: 10.1007/s10827-011-0361-9  0.447
2011 Gilson M, Masquelier T, Hugues E. STDP allows fast rate-modulated coding with Poisson-like spike trains. Plos Computational Biology. 7: e1002231. PMID 22046113 DOI: 10.1371/journal.pcbi.1002231  0.523
2011 Masquelier T, Albantakis L, Deco G. The timing of vision - how neural processing links to different temporal dynamics. Frontiers in Psychology. 2: 151. PMID 21747774 DOI: 10.3389/Fpsyg.2011.00151  0.454
2011 Zamarreño-Ramos C, Camuñas-Mesa LA, Pérez-Carrasco JA, Masquelier T, Serrano-Gotarredona T, Linares-Barranco B. On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex. Frontiers in Neuroscience. 5: 26. PMID 21442012 DOI: 10.3389/Fnins.2011.00026  0.784
2011 Deco G, Buehlmann A, Masquelier T, Hugues E. The role of rhythmic neural synchronization in rest and task conditions. Frontiers in Human Neuroscience. 5: 4. PMID 21326617 DOI: 10.3389/Fnhum.2011.00004  0.454
2010 Masquelier T, Serre T, Thorpe S, Poggio T. Learning simple and complex cells-like receptive fields from natural images: a plausibility proof Journal of Vision. 7: 81-81. DOI: 10.1167/7.9.81  0.478
2010 Masquelier T, Thorpe SJ. Learning to recognize objects using waves of spikes and spike timing-dependent plasticity Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2010.5596934  0.545
2009 Masquelier T, Hugues E, Deco G, Thorpe SJ. Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13484-93. PMID 19864561 DOI: 10.1523/Jneurosci.2207-09.2009  0.651
2009 Masquelier T, Guyonneau R, Thorpe SJ. Competitive STDP-based spike pattern learning. Neural Computation. 21: 1259-76. PMID 19718815 DOI: 10.1162/neco.2008.06-08-804  0.805
2009 Gilson M, Masquelier T, Hugues E, Burkittt AN. Pattern learning using spike-timing-dependent plasticity: a theoretical approach Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P199  0.526
2008 Masquelier T, Guyonneau R, Thorpe SJ. Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. Plos One. 3: e1377. PMID 18167538 DOI: 10.1371/journal.pone.0001377  0.794
2007 Masquelier T, Thorpe SJ. Unsupervised learning of visual features through spike timing dependent plasticity. Plos Computational Biology. 3: e31. PMID 17305422 DOI: 10.1371/journal.pcbi.0030031  0.682
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