Timothée Masquelier

Affiliations: 
CERCO CNRS, Paris, Île-de-France, France 
Area:
computational neuroscience
Website:
http://cerco.ups-tlse.fr/~masquelier/
Google:
"Timothée Masquelier"
Mean distance: 14.75 (cluster 29)
 
SNBCP
Cross-listing: Computational Biology Tree

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Publications

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Tavanaei A, Ghodrati M, Kheradpisheh SR, et al. (2019) Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63
Masquelier T, Kheradpisheh SR. (2018) Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers in Computational Neuroscience. 12: 74
Mozafari M, Kheradpisheh SR, Masquelier T, et al. (2018) First-Spike-Based Visual Categorization Using Reward-Modulated STDP. Ieee Transactions On Neural Networks and Learning Systems
Tavanaei A, Masquelier T, Maida A. (2018) Representation learning using event-based STDP. Neural Networks : the Official Journal of the International Neural Network Society. 105: 294-303
Huth J, Masquelier T, Arleo A. (2018) Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers in Neuroinformatics. 12: 9
Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, et al. (2017) STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 99: 56-67
Ashtiani MN, Kheradpisheh SR, Masquelier T, et al. (2017) Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8: 1261
Deneux T, Masquelier T, Bermudez MA, et al. (2017) Visual stimulation quenches global alpha range activity in awake primate V4: a case study. Neurophotonics. 4: 031222
Masquelier T. (2017) STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. Neuroscience
Kheradpisheh SR, Ghodrati M, Ganjtabesh M, et al. (2016) Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10: 92
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