Bifurcation-based synthesis of asynchronous cellular automaton based neuron

• Matsubara Takashi

  Graduate School of Engineering Science, Osaka University

• Torikai Hiroyuki

  Graduate School of Engineering Science, Osaka University

抄録

A spiking neuron model described by an asynchronous cellular automaton is introduced. Our model can be implemented as an asynchronous sequential logic circuit and its control parameter is adjustable after implementation in an FPGA. It is shown that our model can reproduce twenty types of dynamic response behaviors observed in biological and other model neurons. It is also shown that our model can reproduce the features of four groups into which biological and other model neurons are classified. In addition, underlying bifurcations of the four groups are analyzed, and the results yield basic guides to the synthesis of our model.

収録刊行物

• Nonlinear Theory and Its Applications, IEICE

  Nonlinear Theory and Its Applications, IEICE 4 (1), 111-126, 2013

  一般社団法人 電子情報通信学会

キーワード

• neuron model
• asynchronous cellular automaton
• bifurcation phenomena
• FPGA
• nonlinear dynamics
• asynchronous sequential logic

詳細情報

• CRID: 1390001205345428352
• NII論文ID: 130003375407
• DOI: 10.1587/nolta.4.111
• ISSN: 21854106
• Web Site: https://www.jstage.jst.go.jp/article/nolta/4/1/4_111/_pdf
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可