Flow-network adaptation in Physarum amoebae

• Tero, Atsushi

• Yumiki, Kenji

• Kobayashi, Ryo

• Saigusa, Tetsu

• Nakagaki, Toshiyuki

抄録

Understanding how biological systems solve problems could aid the design of novel computational methods. Information processing in unicellular eukaryotes is of particular interest, as these organisms have survived for more than a billion years using a simple system. The large amoeboid plasmodium of Physarum is able to solve a maze and to connect multiple food locations via a smart network. The current study examined how Physarum amoebae compute these solutions. The mechanism involves the adaptation of the tubular body, which appears to be similar to a network, based on cell dynamics. Our model describes how the network of tubes expands and contracts depending on the flux of protoplasmic streaming, and reproduces experimental observations of the behavior of the organism. The proposed algorithm based on Physarum is both simple and powerful.

収録刊行物

• Theory in Biosciences

  Theory in Biosciences 127 (2), 89-94, 2008-06

  Springer Berlin

キーワード

• cell dynamics
• network
• Steiner minimum tree
• Physarum

詳細情報

• CRID: 1050001338997446784
• NII論文ID: 120001336280
• NII書誌ID: AA11166372
• ISSN: 16117530
• ISSN: 14317613
• HANDLE: 2115/38533
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles