title: Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation.
abstract: We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network by local inhibition. When long-range excitation is weak, these oscillations phase lock with a phase shift dependent on the strength of local inhibition. Increasing the strength of long-range excitation induces a transition to chaos via period doubling or quasiperiodic scenarios. In the chaotic regime, oscillatory activity undergoes fast temporal decorrelation. The generality of these dynamical properties is assessed in firing-rate models as well as in large networks of conductance-based neurons.
authors.affiliation: Université Paris Descartes, Laboratoire de Neurophysique et Physiologie; CNRS UMR 8119; 45, Rue des Saints-Pères, 75270 Paris Cedex 06, France.
authors.forename: Demian
authors.initials: D
authors.lastname: Battaglia
authors.forename: Nicolas
authors.initials: N
authors.lastname: Brunel
authors.forename: David
authors.initials: D
authors.lastname: Hansel
mesh_terms: D000200:Action Potentials / Q000502:physiology; D002540:Cerebral Cortex / Q000166:cytology / Q000502:physiology; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009431:Neural Conduction / Q000502:physiology*; D017711:Nonlinear Dynamics