Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex

Y. Yamaguchi, K. Ishimura, M. Wada

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

We have proposed a chaotic pulse coupled neural network (CPCNN) to investigate possible roles of high-dimensional chaotic dynamics in information coding using synchronous oscillation. In the present paper, some basic characteristics of CPCNN are examined. On the one hand, in a two-neuron system, CPCNN have rather simple condition for the persistence of synchronization despite of its chaotic dynamics. On the other, in a one-dimensional lattice system of homogeneous neurons, it can exhibit complex and various dynamics such as dynamical clustering, traveling waves and spatio-temporal intermittency.

本文言語English
ホスト出版物のタイトルICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing
ホスト出版物のサブタイトルComputational Intelligence for the E-Age
編集者Lipo Wang, Kunihiko Fukushima, Jagath C. Rajapakse, Soo-Young Lee, Xin Yao
出版社Institute of Electrical and Electronics Engineers Inc.
ページ571-575
ページ数5
ISBN(電子版)9810475241, 9789810475246
DOI
出版ステータスPublished - 2002
外部発表はい
イベント9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore
継続期間: 2002 11月 182002 11月 22

出版物シリーズ

名前ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age
2

Other

Other9th International Conference on Neural Information Processing, ICONIP 2002
国/地域Singapore
CitySingapore
Period02/11/1802/11/22

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 信号処理

フィンガープリント

「Chaotic pulse-coupled neural network as a model of synchronization and desynchronization in cortex」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル