title: Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks.
abstract: The dynamical behaviour of a very general model of neural networks with random asymmetric synaptic weights is investigated in the presence of random thresholds. Using mean-field equations, the bifurcations of the fixed points and the change of regime when varying control parameters are established. Different areas with various regimes are defined in the parameter space. Chaos arises generically by a quasi-periodicity route.
authors.affiliation: Unité INSERM 230, Service de Neurologie, CHU Purpan, Toulouse, France.
authors.forename: B
authors.initials: B
authors.lastname: Doyon
authors.forename: B
authors.initials: B
authors.lastname: Cessac
authors.forename: M
authors.initials: M
authors.lastname: Quoy
authors.forename: M
authors.initials: M
authors.lastname: Samuelides
mesh_terms: D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D017711:Nonlinear Dynamics; D010507:Periodicity