Format

Send to

Choose Destination
See comment in PubMed Commons below
Theory Biosci. 2008 Jun;127(2):89-94. doi: 10.1007/s12064-008-0037-9. Epub 2008 Apr 16.

Flow-network adaptation in Physarum amoebae.

Author information

1
Research Institute for Electronic Science, Hokkaido University, Sapporo, 060-0812, Japan.

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. This 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 simple and powerful.

PMID:
18415133
DOI:
10.1007/s12064-008-0037-9
[Indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Springer
    Loading ...
    Support Center