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IEICE TRANSACTIONS on Information

A Phasor Model with Resting States

Teruyuki MIYAJIMA, Fumihito BAISHO, Kazuo YAMANAKA, Kazuhiko NAKAMURA, Masahiro AGU

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Summary :

A new phasor model of neural networks is proposed in which the state of each neuron possibly takes the value at the origin as well as on the unit circle. A stability property of equilibria is studied in association with the energy landscape. It is shown that a simple condition guarantees an equilibrium to be asymptotically stable.

Publication
IEICE TRANSACTIONS on Information Vol.E83-D No.2 pp.299-301
Publication Date
2000/02/25
Publicized
Online ISSN
DOI
Type of Manuscript
LETTER
Category
Biocybernetics, Neurocomputing

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