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Biological Cybernetics

, Volume 101, Issue 1, pp 1–2 | Cite as

The Wilson–Cowan model, 36 years later

  • Alain Destexhe
  • Terrence J. Sejnowski
Open Access
BC Forum

Abstract

The Wilson–Cowan model of interacting neurons (1973) is one of the most influential papers published in Biological Cybernetics (Kybernetik). This paper and a companion paper published in 1972 have been cited over 1000 times. Rather than focus on the microscopic properties of neurons, Wilson and Cowan analyzed the collective properties of large numbers of neurons using methods from statistical mechanics, based on the mean-field approach. New experimental techniques to measure neuronal activity at the level of large populations are now available to test these models, including optical recording of brain activity with intrinsic signals and voltage sensitive dyes, and new methods for analyzing EEG and MEG. These measurement techniques have revealed patterns of coherent activity that span centimetres of tissue in the cerebral cortex. Here the underlying ideas are reviewed in a historic context.

Keywords

Spike Neural Network Stochastic Neural Network Cowan Model Realistic Transfer Function Master Equation Formalism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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Copyright information

© The Author(s) 2009

Authors and Affiliations

  1. 1.Unité de Neurosciences Intégratives et Computationnelles (UNIC), Centre National de la Recherche Scientifique (CNRS)Gif-sur-YvetteFrance
  2. 2.The Salk Institute/CNLSan DiegoUSA

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