Bifurcation analysis in an associative memory model

Masaki Kawamura, Ryuji Tokunaga, and Masato Okada
Phys. Rev. E 70, 046210 – Published 22 October 2004

Abstract

We previously reported the chaos induced by the frustration of interaction in a nonmonotonic sequential associative memory model, and showed the chaotic behaviors at absolute zero. We have now analyzed bifurcation in a stochastic system, namely, a finite-temperature model of the nonmonotonic sequential associative memory model. We derived order-parameter equations from the stochastic microscopic equations. Two-parameter bifurcation diagrams obtained from those equations show the coexistence of attractors, which do not appear at absolute zero, and the disappearance of chaos due to the temperature effect.

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  • Received 30 September 2003

DOI:https://doi.org/10.1103/PhysRevE.70.046210

©2004 American Physical Society

Authors & Affiliations

Masaki Kawamura

  • Faculty of Science, Yamaguchi University, Yoshida 1677-1, Yamaguchi, 753-8512, Japan

Ryuji Tokunaga

  • Institute of Information Sciences and Electronics, University of Tsukuba, Tennodai 1-1-1, Tsukuba, 305-8573, Japan

Masato Okada

  • Laboratory for Mathematical Neuroscience, RIKEN Brain Science Institute, Saitama, 351-0198, Japan and “Intelligent Cooperation and Control,” PRESTO, JST, c/o RIKEN BSI, Saitama, 351-0198, Japan

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Vol. 70, Iss. 4 — October 2004

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