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Event-driven simulations of nonlinear integrate-and-fire neurons

Arnaud Tonnelier 1 Hana Belmabrouk 1 Dominique Martinez 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Event-driven strategies have been used to simulate spiking neural networks exactly. Previou 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.
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Submitted on : Thursday, October 18, 2007 - 9:09:41 AM
Last modification on : Friday, February 4, 2022 - 3:25:39 AM
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Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez. Event-driven simulations of nonlinear integrate-and-fire neurons. Neural Computation, Massachusetts Institute of Technology Press (MIT Press), 2007, 19 (12), pp.3226-3238. ⟨10.1162/neco.2007.19.12.3226⟩. ⟨inria-00103500⟩



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