Temporal processing in the exponential integrate-and-fire model is nonlinear

  • Authors:
  • Joanna Pressley;Todd W. Troyer

  • Affiliations:
  • Applied Math and Scientific Computation Program, University of Maryland, 4202 Mathematics Building, College Park, MD 20742, USA;Applied Math and Scientific Computation Program, University of Maryland, 4202 Mathematics Building, College Park, MD 20742, USA and Neuroscience and Cognitive Science Program, University of Maryla ...

  • Venue:
  • Neurocomputing
  • Year:
  • 2006

Quantified Score

Hi-index 0.01

Visualization

Abstract

The exponential integrate-and-fire (EIF) model was introduced by Fourcaud-Trocme et al. [How spike generation mechanisms determine the neuronal response to fluctuating inputs, J. Neurosci. 23 (2003) 11628-11640] as an extension of the standard leaky integrate-and-fire model. 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 square-wave inputs indicates that at frequencies above ~40Hz, 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.