Mean-field equations, bifurcation map and chaos in discrete time, continuous state, random neural networks View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1995-06

AUTHORS

B. Doyon, B. Cessac, M. Quoy, M. Samuelides

ABSTRACT

The dynamical behaviour of a very general model of neural networks with random asymmetric synaptic weights is investigated in the presence of random thresholds. Using mean-field equations, the bifurcations of the fixed points and the change of regime when varying control parameters are established. Different areas with various regimes are defined in the parameter space. Chaos arises generically by a quasi-periodicity route. More... »

PAGES

169-175

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00709441

DOI

http://dx.doi.org/10.1007/bf00709441

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1050287345

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/7709685


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