Cognitive Neurodynamics

, Volume 2, Issue 1, pp 21–27

The Cauchy problem for one-dimensional spiking neuron models

Research Article

DOI: 10.1007/s11571-007-9032-y

Cite this article as:
Brette, R. Cogn Neurodyn (2008) 2: 21. doi:10.1007/s11571-007-9032-y

Abstract

I consider spiking neuron models defined by a one-dimensional differential equation and a reset—i.e., neuron models of the integrate-and-fire type. I address the question of the existence and uniqueness of a solution on \({\mathbb{R}}\) for a given initial condition. It turns out that the reset introduces a countable and ordered set of backward solutions for a given initial condition. I discuss the implications of these mathematical results in terms of neural coding and spike timing precision.

Keywords

Integrate-and-fireCauchy problemSpike timing precisionReliabilityNeuron models

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.Equipe Odyssée (INRIA/ENS/ENPC), Département d’InformatiqueEcole Normale SupérieureParis Cedex 05France