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A Local Property of the Phasor Model of Neural Networks

Masahiro AGU, Kazuo YAMANAKA, Hiroki TAKAHASHI

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Summary :

Stable phase locked states" are found amongst the equiliblia of the phasor model known as a generalized Hopfield model having complex-valued local states on the unit circle with centre at the origin. The asynchronous updating rule is assumed, and the energy decreasing characteristic is used to investigate a property of the equilibrium states. Some of the equilibria are shown to be fragile" in the sense that the energy is not locally convex. It is also shown that the local convexity of the energy is assured by a sort of consistency between the equilibrium and the connection weights.

Publication
IEICE TRANSACTIONS on Information Vol.E79-D No.8 pp.1209-1211
Publication Date
1996/08/25
Publicized
Online ISSN
DOI
Type of Manuscript
LETTER
Category
Bio-Cybernetics and Neurocomputing

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