O. Faugeras and R. Veltz. Bifurcation theory can predict behaviours of large assemblies of neurons. November 2024. O. Faugeras, A. Song, and R. Veltz. Spatial and color hallucinations in a mathematical model of primary visual cortex. CRAS, January 2022. O. D. Faugeras, A. Song, and R. Veltz. Spatial and color hallucinations in a mathematical model of primary visual cortex. August 2021. A. Song, O. Faugeras, and R. Veltz. A neural field model for color perception unifying assimilation and contrast. PLOS Computational Biology, April 2019. R. Veltz and O. Faugeras. ERRATUM: A Center Manifold Result for Delayed Neural Fields Equations. SIAM Journal on Mathematical Analysis, volume 47, issue 2, 2015. R. Veltz, P. Chossat, and O. Faugeras. On the Effects on Cortical Spontaneous Activity of the Symmetries of the Network of Pinwheels in Visual Area V1. The Journal of Mathematical Neuroscience (JMN), Springer Berlin Heidelberg, volume 5, issue 1, 2015. J. Rankin, E. Tlapale, R. Veltz, O. Faugeras, and P. Kornprobst. Bifurcation analysis applied to a model of motion integration with a multistable stimulus. Journal of computational neuroscience, Springer, volume 34, issue 1, 2013. R. Veltz and O. Faugeras. A center manifold result for delayed neural fields equations. SIAM Journal on Mathematical Analysis, SIAM, volume 45, issue 3, 2013. R. Veltz and O. Faugeras. Stability of the stationary solutions of neural field equations with propagation delays. The Journal of Mathematical Neuroscience (JMN), Springer, volume 1, issue 1, 2011. R. Veltz and O. Faugeras. Local/global analysis of the stationary solutions of some neural field equations. SIAM Journal on Applied Dynamical Systems, SIAM, volume 9, issue 3, 2010. R. Veltz and O. Faugeras. Illusions in the ring model of visual orientation selectivity. arXiv preprint arXiv:1007.2493, 2010. O. Faugeras, R. Veltz, and F. Grimbert. Persistent neural states: stationary localized activity patterns in nonlinear continuous n-population, q-dimensional neural networks. Neural computation, MIT Press, volume 21, issue 1, 2009.