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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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Song A, Faugeras O, Veltz R. (2019) A neural field model for color perception unifying assimilation and contrast. Plos Computational Biology. 15: e1007050
Visser S, Nicks R, Faugeras O, et al. (2019) Standing and travelling waves in a spherical brain model: The Nunez model revisited. Physica D. Nonlinear Phenomena. 349: 27-45
Bressloff PC, Faugeras O. (2017) On the Hamiltonian structure of large deviations in stochastic hybrid systems Journal of Statistical Mechanics: Theory and Experiment. 2017: 033206
Meso AI, Rankin J, Faugeras O, et al. (2016) The relative contribution of noise and adaptation to competition during tri-stable motion perception. Journal of Vision. 16: 6
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, 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
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