Thierry Viéville

Affiliations: 
INRIA Sophia Antipolis, Biot, Provence-Alpes-Côte d'Azur, France 
Area:
Computational Neurosciences
Website:
http://www.loria.fr/~vthierry
Google:
"Thierry Viéville"
Mean distance: 20.99 (cluster 23)
 
Cross-listing: Computational Biology Tree

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Publications

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Cessac B, Kornprobst P, Kraria S, et al. (2017) PRANAS: A New Platform for Retinal Analysis and Simulation. Frontiers in Neuroinformatics. 11: 49
Rostro-Gonzalez H, Cessac B, Vieville T. (2012) Parameter estimation in spiking neural networks: a reverse-engineering approach. Journal of Neural Engineering. 9: 026024
Cessac B, Salas R, Viéville T. (2012) Using event-based metric for event-based neural network weight adjustment Esann 2012 Proceedings, 20th European Symposium On Artificial Neural Networks, Computational Intelligence and Machine Learning. 591-596
Rostro-Gonzalez H, Cessac B, Vasquez JC, et al. (2009) Back-engineering of spiking neural networks parameters Bmc Neuroscience. 10
Cessac B, Viéville T. (2009) Parametric estimation of spike train statistics Bmc Neuroscience. 10
Escobar MJ, Masson GS, Vieville T, et al. (2009) Action recognition using a bio-inspired feedforward spiking network International Journal of Computer Vision. 82: 284-301
Cessac B, Rostro H, Vasquez JC, et al. (2009) How Gibbs distributions may naturally arise from synaptic adaptation mechanisms. A model-based argumentation Journal of Statistical Physics. 136: 565-602
Cessac B, Viéville T. (2008) On dynamics of integrate-and-fire neural networks with conductance based synapses. Frontiers in Computational Neuroscience. 2: 2
Brette R, Rudolph M, Carnevale T, et al. (2007) Simulation of networks of spiking neurons: a review of tools and strategies. Journal of Computational Neuroscience. 23: 349-98
Cessac B, Viéville T. (2007) Revisiting time discretisation of spiking network models Bmc Neuroscience. 8
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