open access

https://hdl.handle.net/2115/38533

Flow-network adaptation in Physarum amoebae

英語

Physarum

2008-06

Springer Berlin

Theory in Biosciences

127(2)

89-94

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.

学術雑誌論文

Accepted Manuscript

The original publication is available at www.springerlink.com

1431-7613

1611-7530

AA11166372