Propagation of Synfire Activity in Cortical Networks: a Statistical Approach

  • Marc-Oliver Gewaltig
  • Markus Diesmann
  • Ad Aertsen
Conference paper

DOI: 10.1007/978-1-4471-3087-1_6

Cite this paper as:
Gewaltig MO., Diesmann M., Aertsen A. (1995) Propagation of Synfire Activity in Cortical Networks: a Statistical Approach. In: Kappen B., Gielen S. (eds) Neural Networks: Artificial Intelligence and Industrial Applications. Springer, London

Abstract

Recently it was demonstrated that the activity of frontal cortical neurons in the awake behaving monkey comprises excessive occurrences of highly accurate (~1–3 ms) spatio-temporal firing patterns. Moreover, these patterns can be related to the behavioral state of the animal [l, 10]. On the basis of the characteristic anatomy and physiology of the cortex, it was proposed that syn fire activity, propagating through the sparsely firing cortical neural network, presents a natural explanation for this phenomenon [2, 1]. In order to test this hypothesis, we investigated the dependence of reliable synfire propagation on the structural and the dynamical properties of a model cortical network, using the newly developed simulation tool SYNOD [6].

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Copyright information

© Springer-Verlag London Limited 1995

Authors and Affiliations

  • Marc-Oliver Gewaltig
    • 1
  • Markus Diesmann
    • 2
  • Ad Aertsen
    • 2
  1. 1.Institut für NeuroinformatikRuhr-Universität BochumGermany
  2. 2.Center for Brain ResearchThe Weizmann Institute of ScienceRehovotIsrael

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