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Information processing in neural networks by means of controlled dynamic regimes.

Authors
  • Chapeau-Blondeau, F
Type
Published Article
Journal
Acta biotheoretica
Publication Date
Jun 01, 1995
Volume
43
Issue
1-2
Pages
155–167
Identifiers
PMID: 7709684
Source
Medline
License
Unknown

Abstract

This paper is concerned with the modeling of neural systems regarded as information processing entities. I investigate the various dynamic regimes that are accessible in neural networks considered as nonlinear adaptive dynamic systems. The possibilities of obtaining steady, oscillatory or chaotic regimes are illustrated with different neural network models. Some aspects of the dependence of the dynamic regimes upon the synaptic couplings are examined. I emphasize the role that the various regimes may play to support information processing abilities. I present an example where controlled transient evolutions in a neural network, are used to model the regulation of motor activities by the cerebellar cortex.

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