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Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons

2007; The MIT Press; Volume: 19; Issue: 12 Linguagem: Inglês

10.1162/neco.2007.19.12.3226

1530-888X

Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez,

stochastic dynamics and bifurcation

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.