Correlations and Synchrony in Threshold Neuron Models

Tatjana Tchumatchenko, Aleksey Malyshev, Theo Geisel, Maxim Volgushev, and Fred Wolf
Phys. Rev. Lett. 104, 058102 – Published 4 February 2010
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Abstract

We study how threshold models and neocortical neurons transfer temporal and interneuronal input correlations to correlations of spikes. In both, we find that the low common input regime is governed by firing rate dependent spike correlations which are sensitive to the detailed structure of input correlation functions. In the high common input regime, the spike correlations are largely insensitive to the firing rate and exhibit a universal peak shape. We further show that pairs with different firing rates driven by common inputs in general exhibit asymmetric spike correlations.

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  • Received 20 October 2008

DOI:https://doi.org/10.1103/PhysRevLett.104.058102

©2010 American Physical Society

Authors & Affiliations

Tatjana Tchumatchenko1,2, Aleksey Malyshev3,4, Theo Geisel1, Maxim Volgushev3,4,5, and Fred Wolf1

  • 1Max Planck Institute for Dynamics and Self-Organization and Bernstein Center for Computational Neuroscience, Göttingen, Germany
  • 2Göttingen Graduate School for Neurosciences and Molecular Biosciences, Göttingen, Germany
  • 3Inst. of Higher Nervous Activity and Neurophysiology, RAS, Moscow, Russia
  • 4Department of Psychology, University of Connecticut, Storrs, Connecticut, USA
  • 5Department of Neurophysiology, Ruhr-University, Bochum, Germany

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Issue

Vol. 104, Iss. 5 — 5 February 2010

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