Global stability for a class of dynamical neural networks

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Original languageEnglish
Pages (from-to)2762-2766
Journal / PublicationProceedings of the American Control Conference
Publication statusPublished - 1995
Externally publishedYes


TitleProceedings of the 1995 American Control Conference. Part 1 (of 6)
CitySeattle, WA, USA
Period21 - 23 June 1995


In this paper, we study the global properties of a class of asymmetrical Hopfield-type neural circuits. We first present a result for the existence and uniqueness of an equilibrium point; this result does not assume smoothness of the neural activation functions. Then we give some testable sufficient conditions for the global stability of such neural circuits. These results generalize a few previous known results and remove some restrictions on the neural circuits.

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