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 typ...

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Veröffentlicht in:Condensed Matter Physics
Datum:2004
Hauptverfasser: Gafiychuk, V.V., Prykarpatsky, A.K.
Format: Artikel
Sprache:Englisch
Veröffentlicht: Інститут фізики конденсованих систем НАН України 2004
Online Zugang:https://nasplib.isofts.kiev.ua/handle/123456789/119026
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Zitieren: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.

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