Polygonal Structure Models of Ring Inhibitory Neural Network

抄録

The ring inhibitory neural network is a typical neural system used to generate oscillation with a simple structure. Neurons in the ring inhibitory neural network are connected in one direction. In this study, we propose polygonal structure models of the ring inhibitory neural network that are composed of multiple ring inhibitory neural networks. We confirm that the polygonal structure models based on triquetrous and pentagonal models composed of three and five neurons respectively can oscillate. In our simulations, the polygonal structure models show various synchronization and oscillation phenomena based on their network topology.

収録刊行物

  • 信号処理

    信号処理 18 (4), 169-172, 2014

    信号処理学会

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詳細情報 詳細情報について

  • CRID
    1390001204465219456
  • NII論文ID
    130004678175
  • DOI
    10.2299/jsp.18.169
  • ISSN
    18801013
    13426230
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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