Journal
NEURAL COMPUTATION
Volume 19, Issue 12, Pages 3226-3238Publisher
M I T PRESS
DOI: 10.1162/neco.2007.19.12.3226
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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.
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