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Flow-network adaptation in Physarum amoebae

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Title: Flow-network adaptation in Physarum amoebae
Authors: Tero, Atsushi Browse this author
Yumiki, Kenji Browse this author
Kobayashi, Ryo Browse this author
Saigusa, Tetsu Browse this author
Nakagaki, Toshiyuki Browse this author
Keywords: cell dynamics
Steiner minimum tree
Issue Date: Jun-2008
Publisher: Springer Berlin
Journal Title: Theory in Biosciences
Volume: 127
Issue: 2
Start Page: 89
End Page: 94
Publisher DOI: 10.1007/s12064-008-0037-9
PMID: 18415133
Abstract: 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.
Rights: The original publication is available at
Type: article (author version)
Appears in Collections:電子科学研究所 (Research Institute for Electronic Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 中垣 俊之

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