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Correlations and Synchrony in Threshold Neuron Models

Source: Phys. Rev. Lett. 104, 058102 (2010); doi:10.1103/PhysRevLett.104.058102

Published 4 February 2010

PACS
  • 87.19.lm
    Synchronization in the nervous system
  • 05.40.-a
    Fluctuation phenomena, random processes, noise, and Brownian motion
  • 87.19.ll
    Models of single neurons and networks (neuroscience in higher organisms)
  • 87.19.lt
    Sensory systems: visual, auditory, tactile, taste, and olfaction
  • YEAR: 2010
PUBLICATION DATA
ISSN:
1553-9628 (online)
Publisher:
AIP is a member of CrossRef APS
Tatjana Tchumatchenko,1,2 Aleksey Malyshev,3,4 Theo Geisel,1 Maxim Volgushev,3,4,5 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

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. ©2010 The American Physical Society
History: Received 20 October 2008; revised 29 May 2009; published 4 February 2010
Permalink: http://link.aps.org/abstract/PRL/v104/e058102
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