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25 March 1998 Geometry of phase space and asymptotic behavior for oscillatory neural networks
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Halina V. Grushevskaja, George G. Krylov, and Anatoly T. Vlassov "Geometry of phase space and asymptotic behavior for oscillatory neural networks", Proc. SPIE 3390, Applications and Science of Computational Intelligence, (25 March 1998); https://doi.org/10.1117/12.304824
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