title: Stochastic synchronization in finite size spiking networks.
abstract: We study a stochastic synchronization of spiking activity in feedforward networks of integrate-and-fire model neurons. A stochastic mean field analysis shows that synchronization occurs only when the network size is sufficiently small. This gives evidence that the dynamics, and hence processing, of finite size populations can be drastically different from that observed in the infinite size limit. Our results agree with experimentally observed synchrony in cortical networks, and further strengthen the link between synchrony and propagation in cortical systems.
authors.affiliation: Center for Neural Science, New York University, New York, New York 10003, USA.
authors.forename: Brent
authors.initials: B
authors.lastname: Doiron
authors.forename: John
authors.initials: J
authors.lastname: Rinzel
authors.forename: Alex
authors.initials: A
authors.lastname: Reyes
mesh_terms: D000200:Action Potentials; D000465:Algorithms; D003198:Computer Simulation; D008959:Models, Neurological; D009415:Nerve Net; D009474:Neurons / Q000502:physiology*; D013269:Stochastic Processes