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Olivier Faugeras, Ph.D.

Mathematical Neuroscience, Stochastic Calculus, Mean-Field Theory, Bifurcation Theory, Visual Perception
"Olivier Faugeras"
Mean distance: 21.47 (cluster 32)
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Bressloff PC, Ermentrout B, Faugeras O, et al. (2016) Stochastic Network Models in Neuroscience: A Festschrift for Jack Cowan. Introduction to the Special Issue. Journal of Mathematical Neuroscience. 6: 4
Bossy M, Faugeras O, Talay D. (2015) Clarification and Complement to "Mean-Field Description and Propagation of Chaos in Networks of Hodgkin-Huxley and FitzHugh-Nagumo Neurons". Journal of Mathematical Neuroscience. 5: 31
Veltz R, Chossat P, Faugeras O. (2015) On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1. Journal of Mathematical Neuroscience. 5: 23
Fasoli D, Faugeras O, Panzeri S. (2015) A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model. Journal of Mathematical Neuroscience. 5: 6
Faugeras O, Inglis J. (2015) Stochastic neural field equations: a rigorous footing. Journal of Mathematical Biology. 71: 259-300
Faugeras O, MacLaurin J. (2015) Asymptotic description of neural networks with correlated synaptic weights Entropy. 17: 4701-4743
Faugeras O, Thieullen M. (2014) Editorial for the special issue on uncertainty in the brain. Journal of Mathematical Neuroscience. 4: 7
Rankin J, Meso AI, Masson GS, et al. (2014) Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36: 193-213
Faugeras O, MacLaurin J. (2014) A large deviation principle and an expression of the rate function for a discrete stationary Gaussian process Entropy. 16: 6722-6738
Faugeras O, MacLaurin J. (2014) A representation of the relative entropy with respect to a diffusion process in terms of its infinitesimal generator Entropy. 16: 6705-6721
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