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APS » Journals » Phys. Rev. Lett. » Volume 100 » Issue 10
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Phys. Rev. Lett. 100, 108102 (2008) [4 pages]

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

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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

Received 13 June 2007; published 11 March 2008

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.

© 2008 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.100.108102
DOI:
10.1103/PhysRevLett.100.108102
PACS:
87.18.Sn, 05.40.−a, 05.45.Xt, 87.19.lt
 
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