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Timothée Masquelier - Publications

Affiliations: 
CERCO CNRS, Paris, Île-de-France, France 
Area:
computational neuroscience
Website:
http://cerco.ups-tlse.fr/~masquelier/

23 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
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  0.806
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  0.71
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  0.812
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  0.733
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  0.799
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  0.804
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  0.609
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  0.816
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  0.748
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  0.33
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  0.733
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  0.757
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  0.76
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
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  0.778
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  0.782
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  0.48
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  0.541
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  0.639
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  0.798
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  0.787
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  0.672
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