International audienceWe develop a framework for the study of delayed neural fields equations and prove a center manifold theorem for these equations. Specific properties of delayed neural fields equations make it difficult to apply existing methods from the literature concerning center manifold results for functional differential equations. Our approach for the proof of the center manifold theorem uses the original combination of results from Vanderbauwhede et al. together with a theory of linear functional differential equations in a history space larger than the commonly used set of time-continuous function
Special issue on Mathematical NeuroscienceInternational audienceIn this paper we study neural field ...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
International audienceThe analysis of nonlinear delay-differential equations (DDEs) subjected to ext...
We develop a framework for the study of delayed neural fields equations and prove a center manifold ...
International audienceWe develop a framework for the study of delayed neural fields equations and pr...
Neural field models with delays define a useful framework for modeling macroscopic parts of the cort...
International audienceLemma C.1 in [R. Veltz and O. Faugeras, SIAM J. Math. Anal., 45(3) (2013), pp....
International audienceThis study reviews and extends a recent center manifold analysis technique dev...
This thesis deals with mesoscopic models of cortex called neural fields. The neural field equations ...
Neural fields equations describe the activity of neural populations at a mesoscopic level. Although ...
Preprint of an article published in Journal of Differential Equations, available at: https://doi.org...
International audienceIn this paper, we consider neural field equations with space-dependent delays....
The work illustrates a recent analysis technique that demon- strates that external periodic input af...
International audienceThis paper considers near-equilibrium systems of ordinary differential equatio...
In this paper we study neural field models with delays which define a useful framework for mod-eling...
Special issue on Mathematical NeuroscienceInternational audienceIn this paper we study neural field ...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
International audienceThe analysis of nonlinear delay-differential equations (DDEs) subjected to ext...
We develop a framework for the study of delayed neural fields equations and prove a center manifold ...
International audienceWe develop a framework for the study of delayed neural fields equations and pr...
Neural field models with delays define a useful framework for modeling macroscopic parts of the cort...
International audienceLemma C.1 in [R. Veltz and O. Faugeras, SIAM J. Math. Anal., 45(3) (2013), pp....
International audienceThis study reviews and extends a recent center manifold analysis technique dev...
This thesis deals with mesoscopic models of cortex called neural fields. The neural field equations ...
Neural fields equations describe the activity of neural populations at a mesoscopic level. Although ...
Preprint of an article published in Journal of Differential Equations, available at: https://doi.org...
International audienceIn this paper, we consider neural field equations with space-dependent delays....
The work illustrates a recent analysis technique that demon- strates that external periodic input af...
International audienceThis paper considers near-equilibrium systems of ordinary differential equatio...
In this paper we study neural field models with delays which define a useful framework for mod-eling...
Special issue on Mathematical NeuroscienceInternational audienceIn this paper we study neural field ...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
International audienceThe analysis of nonlinear delay-differential equations (DDEs) subjected to ext...