title: Event-driven simulations of nonlinear integrate-and-fire neurons.
abstract: Event-driven strategies have been used to simulate spiking neural networks exactly. Previous work is limited to linear integrate-and-fire neurons. In this note, we extend event-driven schemes to a class of nonlinear integrate-and-fire models. Results are presented for the quadratic integrate-and-fire model with instantaneous or exponential synaptic currents. Extensions to conductance-based currents and exponential integrate-and-fire neurons are discussed.
authors.affiliation: Cortex Project, LORIA, 54 506 Vandoeuvre-lès-Nancy, France. arnaud.tonnelier@inria.fr
authors.forename: Arnaud
authors.initials: A
authors.lastname: Tonnelier
authors.forename: Hana
authors.initials: H
authors.lastname: Belmabrouk
authors.forename: Dominique
authors.initials: D
authors.lastname: Martinez
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D002490:Central Nervous System / Q000502:physiology*; D003198:Computer Simulation; D006801:Humans; D007473:Ion Channels / Q000502:physiology; D008564:Membrane Potentials / Q000502:physiology; D008959:Models, Neurological; D015233:Models, Statistical; D009434:Neural Pathways / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D017711:Nonlinear Dynamics; D009435:Synaptic Transmission / Q000502:physiology*
chemical_list: D007473:Ion Channels