A novel hardware-efficient gene network model based on asynchronous cellular automaton dynamics

• Yoshimoto Takuya

  Department of Computer Science, Kyoto Sangyo University

• Torikai Hiroyuki

  Department of Computer Science, Kyoto Sangyo University

抄録

The gene affects various behaviors of animals such as circadian rhythm, courtship behavior, motor behavior, visual behavior, and learning. The circadian rhythm is a biological rhythm having a period of almost 24 hours, which is sometimes called internal clock or biological clock. In this paper, a novel asynchronous cellular automaton model of a gene network is proposed, where its vector field is designed based on an ordinary differential equation gene network model. It is shown that the proposed model can reproduce typical phenomena (e.g., oscillations, mutual synchronization, locking to light stimulation, and related bifurcations) observed in the differential equation gene network model. It is also shown that the proposed model can be implemented on an FPGA by using much less hardware resource compared to the differential equation model

収録刊行物

• Nonlinear Theory and Its Applications, IEICE

  Nonlinear Theory and Its Applications, IEICE 8 (4), 302-318, 2017

  一般社団法人 電子情報通信学会

キーワード

• gene network
• circadian rhythm
• asynchronous cellular automaton
• FPGA

詳細情報

• CRID: 1390282680323551872
• NII論文ID: 130006110758
• DOI: 10.1587/nolta.8.302
• ISSN: 21854106
• Web Site: https://www.jstage.jst.go.jp/article/nolta/8/4/8_302/_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