Auto- and Crosscorrelograms for the Spike Response of Leaky Integrate-and-Fire Neurons with Slow Synapses

Rubén Moreno-Bote and Néstor Parga
Phys. Rev. Lett. 96, 028101 – Published 17 January 2006

Abstract

An analytical description of the response properties of simple but realistic neuron models in the presence of noise is still lacking. We determine completely up to the second order the firing statistics of a single and a pair of leaky integrate-and-fire neurons receiving some common slowly filtered white noise. In particular, the auto- and cross-correlation functions of the output spike trains of pairs of cells are obtained from an improvement of the adiabatic approximation introduced previously by Moreno-Bote and Parga [Phys. Rev. Lett. 92, 028102 (2004)]. These two functions define the firing variability and firing synchronization between neurons, and are of much importance for understanding neuron communication.

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  • Received 1 August 2005

DOI:https://doi.org/10.1103/PhysRevLett.96.028101

©2006 American Physical Society

Authors & Affiliations

Rubén Moreno-Bote1 and Néstor Parga2,3

  • 1Center for Neural Science, New York University, New York, New York 10003-6621, USA
  • 2Departamento de Física Teórica, Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain
  • 3Center for Theoretical Neuroscience, Center for Neurobiology and Behavior, Columbia University, New York 10032-2695, USA

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Vol. 96, Iss. 2 — 20 January 2006

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