CHAOTIC MEMORY DYNAMICS IN A RECURRENT NEURAL NETWORK WITH CYCLE MEMORIES EMBEDDED BY PSEUDO-INVERSE METHOD-Reference-Cited by-同舟云学术

CHAOTIC MEMORY DYNAMICS IN A RECURRENT NEURAL NETWORK WITH CYCLE MEMORIES EMBEDDED BY PSEUDO-INVERSE METHOD

Published:1995-08 Issue:04 Volume:05 Page:1205-1212
ISSN:0218-1274
Container-title:International Journal of Bifurcation and Chaos
language:en
Short-container-title:Int. J. Bifurcation Chaos

Author:

NARA SHIGETOSHI¹²,DAVIS PETER¹³,KAWACHI MASAYOSHI¹,TOTSUJI HIROO¹

Affiliation:

1. Department of Electrical and Electronic Engineering, Okayama University, Tsushimanaka 3-1-1, Okayama 700, Japan

2. Hiroshima University, Faculty of Integrated Arts and Sciences, Kagamiyama, Higa-shi, Hiroshima, 739, Japan

3. ATR Optical and Radio Communications Research Laboratories, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto-fu 619-02, Japan

Abstract

It is shown that hierarchical bifurcation of chaotic intermittency among memories can be induced by reducing neural connectivity when sequences of similar patterns are stored in a recurrent neural network using the pseudo-inverse method. This chaos is potentially useful for memory search and synthesis.

Publisher

World Scientific Pub Co Pte Lt

Subject

Applied Mathematics,Modeling and Simulation,Engineering (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218127495000867

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