Sequential retrieval of non-random patterns in a neural network

T. Nakamura, Hidetoshi Nishimori

研究成果: Article査読

2 被引用数 (Scopus)

抄録

A neural network capable of retrieval of sequential patterns is analysed. The authors treat the network proposed by Buhmann and Schulten (1987). Although they concluded that the thermal noise induces retrieval of sequential patterns, the authors show that the network has limit cycle solutions even at zero temperature. Behaviour of the network at high temperatures is also analysed. The transition temperatures between a high-temperature fixed point phase and a limit cycle phase are calculated numerically to draw a phase diagram. The characteristic features of the phase diagram are discussed. The reentrant transition temperatures between the limit cycle and low-temperature fixed point phases are calculated analytically.

本文言語English
論文番号024
ページ(範囲)4627-4641
ページ数15
ジャーナルJournal of Physics A: Mathematical and General
23
20
DOI
出版ステータスPublished - 1990 12 1
外部発表はい

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Physics and Astronomy(all)

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