Correlation and Synchrony Transfer in Integrate-and-Fire Neurons: Basic Properties and Consequences for Coding

Eric Shea-Brown, Krešimir Josić, Jaime de la Rocha, and Brent Doiron
Phys. Rev. Lett. 100, 108102 – Published 11 March 2008

Abstract

We study how pairs of neurons transfer correlated input currents into correlated spikes. Over rapid time scales, correlation transfer increases with both spike time variability and rate; the dependence on variability disappears at large time scales. This persists for a nonlinear membrane model and for heterogeneous cell pairs, but strong nonmonotonicities follow from refractory effects. We present consequences for population coding and for the encoding of time-varying stimuli.

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  • Received 13 June 2007

DOI:https://doi.org/10.1103/PhysRevLett.100.108102

©2008 American Physical Society

Authors & Affiliations

Eric Shea-Brown1,2, Krešimir Josić3, Jaime de la Rocha2, and Brent Doiron1,2

  • 1Courant Institute of Mathematical Sciences, New York University, New York, New York 10012, USA
  • 2Center for Neural Science, New York University, New York, New York 10012, USA
  • 3Department of Mathematics, University of Houston, Houston, Texas 77204-3008, USA

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Issue

Vol. 100, Iss. 10 — 14 March 2008

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