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Proceedings Paper

Geometry of phase space and asymptotic behavior for oscillatory neural networks
Author(s): Halina V. Grushevskaja; George G. Krylov; Anatoly T. Vlassov
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Paper Abstract

The asymptotic expansions of the solutions within the framework of been found phase-space geometry for oscillatory neural model are constructed. The oscillatory neural networks consist of non-identical neurons are examined. The phenomenon of mutual neurons' synchronization has been analyzed.

Paper Details

Date Published: 25 March 1998
PDF: 12 pages
Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); doi: 10.1117/12.304824
Show Author Affiliations
Halina V. Grushevskaja, Belarus State Univ. (Belarus)
George G. Krylov, Belarus State Univ. (Belarus)
Anatoly T. Vlassov, Belarus State Univ. (Belarus)

Published in SPIE Proceedings Vol. 3390:
Applications and Science of Computational Intelligence
Steven K. Rogers; David B. Fogel; James C. Bezdek; Bruno Bosacchi, Editor(s)

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