International audienceThis study reviews and extends a recent center manifold analysis technique developped to characterize stochastic bifurcations in delayed systems induced by additive noise. Motivated by the dynamics of spatially extended neural field models with finite propagation velocity, we revealed and fully characterized codimension 1 stochastic bifurcations induced by additive white noise. In contrast to previous studies, we here extended our analysis to the case of distributed delays while applying our results to the stochastic Hopf bifurcation. Taken together, our results provide further insight on the conjugate role of noise and delays in the genesis non-linear phenomena
International audienceThis work studies the spatio-temporal dynamics of a generic integral-different...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
The paper demonstrates the possibility to control the collective behavior of a large network of exci...
International audienceThe work discovers a stochastic bifurcation in delayed systems in the presence...
The work discovers a stochastic bifurcation in delayed systems in the presence of both delay and add...
International audienceNoise has significant impact on nonlinear phenomena. Here we demonstrate that,...
International audienceThe analysis of nonlinear delay-differential equations (DDEs) subjected to ext...
International audienceWe apply a stochastic center manifold method to the calculation of noise-induc...
International audienceWe develop a framework for the study of delayed neural fields equations and pr...
In this paper we consider a class of scalar integral equations with a form of space-dependent delay...
We study the effects of propagation delays on the stochastic dynamics of bumps in neural fields with...
Abstract. We study the effects of additive noise on traveling pulse solutions in spatially extended ...
Delayed responses to external drivers are ubiquitous in environmental, social, and biological proces...
The work illustrates a recent analysis technique that demon- strates that external periodic input af...
A stochastic-delay differential equation (SDDE) model of a small neural network with recurrent inhib...
International audienceThis work studies the spatio-temporal dynamics of a generic integral-different...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
The paper demonstrates the possibility to control the collective behavior of a large network of exci...
International audienceThe work discovers a stochastic bifurcation in delayed systems in the presence...
The work discovers a stochastic bifurcation in delayed systems in the presence of both delay and add...
International audienceNoise has significant impact on nonlinear phenomena. Here we demonstrate that,...
International audienceThe analysis of nonlinear delay-differential equations (DDEs) subjected to ext...
International audienceWe apply a stochastic center manifold method to the calculation of noise-induc...
International audienceWe develop a framework for the study of delayed neural fields equations and pr...
In this paper we consider a class of scalar integral equations with a form of space-dependent delay...
We study the effects of propagation delays on the stochastic dynamics of bumps in neural fields with...
Abstract. We study the effects of additive noise on traveling pulse solutions in spatially extended ...
Delayed responses to external drivers are ubiquitous in environmental, social, and biological proces...
The work illustrates a recent analysis technique that demon- strates that external periodic input af...
A stochastic-delay differential equation (SDDE) model of a small neural network with recurrent inhib...
International audienceThis work studies the spatio-temporal dynamics of a generic integral-different...
Abstract. Neural field equations are integro-differential systems describing the macroscopic activit...
The paper demonstrates the possibility to control the collective behavior of a large network of exci...