The exponential integrate-and-fire (EIF) model was introduced by Fourcaud-Trocme et al. (2003) as an extension of the standard leaky integrate-and-fire model (LIF). Here, the nonlinearity in the EIF model’s temporal response to square-wave inputs is investigated. Comparing the time course of onset and offset responses revealed that offset responses have a steeper initial slope, but a slower approach to equilibrium. A linear systems analysis performed for these square-wave inputs indicates that at frequencies above ~40 Hz, gain was slightly smaller for square-wave inputs, but phase did not change significantly relative to simulations in which the corresponding sinusoids were presented in isolation.
Copyright © 2006 Elsevier BV.
The definitive version is available at: http://www.sciencedirect.com/science/article/pii/S0925231205003747
Wares, Joanna R., and Todd W. Troyer. "Temporal Processing in the Exponential Integrate-and-fire Model Is Nonlinear." Neurocomputing 69, no. 10-12 (2006): 1076-1080. doi:10.1016/j.neucom.2005.12.049.
Wares, Joanna R. and Troyer, Todd W., "Temporal Processing in the Exponential Integrate-and-Fire Model is Nonlinear" (2006). Department of Math & Statistics Faculty Publications. 51.