Pattern formation in neural dynamical systems governed by mutually Hamiltonian and gradient vector field structures
We analyze dynamical systems of general form possessing gradient (symmetric) and Hamiltonian (antisymmetric) flow parts. The relevance of such systems to self-organizing processes is discussed. Coherent structure formation and related gradient flows on matrix Grassmann type manifolds are conside...
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| Date: | 2004 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізики конденсованих систем НАН України
2004
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| Series: | Condensed Matter Physics |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/119026 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Pattern formation in neural dynamical systems governed by mutually Hamiltonian and gradient vector field structures / V.V. Gafiychuk, A.K. Prykarpatsky // Condensed Matter Physics. — 2004. — Т. 7, № 3(39). — С. 551–563. — Бібліогр.: 20 назв. — англ. |