Neural Dynamics in Cortical Networks – Precision of Joint-spiking Events

  1. Gregory R. Bock and
  2. Jamie A. Goode
  1. Ad Aertsen1,
  2. Markus Diesmann2,
  3. Marc-Oliver Gewaltig3,
  4. Sonja Grün4 and
  5. Stefan Rotter1

Published Online: 7 OCT 2008

DOI: 10.1002/0470846674.ch15

Complexity in Biological Information Processing: Novartis Foundation Symposium 239

Complexity in Biological Information Processing: Novartis Foundation Symposium 239

How to Cite

Aertsen, A., Diesmann, M., Gewaltig, M.-O., Grün, S. and Rotter, S. (2001) Neural Dynamics in Cortical Networks – Precision of Joint-spiking Events, in Complexity in Biological Information Processing: Novartis Foundation Symposium 239 (eds G. R. Bock and J. A. Goode), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470846674.ch15

Author Information

  1. 1

    Neurobiology and Biophysics, Inst. Biology III, Albert-Ludwigs-University, Freiburg, Germany

  2. 2

    MPI Strömungsforschung, Department of Nonlinear Dynamics, Göttingen, Germany

  3. 3

    Future Technology Research, Honda R&D Europe, Offenbach, Germany

  4. 4

    MPI Brain Research, Department of Neurophysiology, Frankfurt, Germany

Publication History

  1. Published Online: 7 OCT 2008
  2. Published Print: 20 JUL 2001

Book Series:

  1. Novartis Foundation Symposia

Book Series Editors:

  1. Novartis Foundation

ISBN Information

Print ISBN: 9780471498322

Online ISBN: 9780470846674

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Keywords:

  • neural;
  • complexity;
  • neuron;
  • dynamics;
  • networks;
  • cortex;
  • cortical;
  • brain;
  • joint-spiking;
  • electrophysiology;
  • neural network;
  • spike;
  • modelling

Summary

Electrophysiological studies of cortical function on the basis of multiple single-neuron recordings reveal neuronal interactions which depend on stimulus context and behavioural events. These interactions exhibit dynamics on different time scales, with time constants down to the millisecond range. Mechanisms underlying such dynamic organization of the cortical network were investigated by experimental and theoretical approaches. We review some recent results from these studies, concentrating on the occurrence of precise joint-spiking events in cortical activity, both in physiological and in model neural networks. These findings suggest that a combinatorial neural code, based on rapid associations of groups of neurons co-ordinating their activity at the single spike level, is biologically feasible.