Literature DB >> 21070831

The emergence of synchronization behavior in Physarum polycephalum and its particle approximation.

Soichiro Tsuda1, Jeff Jones.   

Abstract

The regeneration process of contractile oscillation in the plasmodium of Physarum polycephalum is investigated experimentally and modelled computationally. When placed in a well, the Physarum cell restructures the body (fusion of small granule-like cells) and shows various complex oscillation patterns. After it completed the restructuring and regained synchronized oscillation within the body, the cell shows bilateral oscillation or rotating wave pattern. This regeneration process did not depend on the well size and all the cases tested here showed similar time course. Phase synchronization analysis based on Hilbert Transform also suggested that the cell can develop a fully synchronized oscillation within a fixed time no matter what the cell size is. A particle-based computational model was developed in order to model the emergence of oscillation patterns. Particles employing very simple and identical sensory and motor behaviors interacted with each other via the sensing and deposition of chemoattractants in a diffusive environment. From a random and almost homogeneous distribution, emergent domains of oscillatory activity emerged. By increasing the sensory radius the model simulated the regeneration process of the real plasmodium. In addition, the model replicated the rotating wave and bilateral oscillation pattern when the sensory radius was increased. The results suggest that complex emergent oscillatory behaviors (and thus the high-level systems which may utilize them, such as pumping and transport mechanisms) may be developed from simple materials inspired by Physarum slime mold.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 21070831     DOI: 10.1016/j.biosystems.2010.11.001

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  5 in total

1.  Patterns of cell thickness oscillations during directional migration of Physarum polycephalum.

Authors:  Beatrice Rodiek; Seiji Takagi; Tetsuo Ueda; Marcus J B Hauser
Journal:  Eur Biophys J       Date:  2015-04-29       Impact factor: 1.733

2.  Studying Protista WBR and Repair Using Physarum polycephalum.

Authors:  Megan M Sperry; Nirosha J Murugan; Michael Levin
Journal:  Methods Mol Biol       Date:  2022

3.  Adaptive behaviour and learning in slime moulds: the role of oscillations.

Authors:  Aurèle Boussard; Adrian Fessel; Christina Oettmeier; Léa Briard; Hans-Günther Döbereiner; Audrey Dussutour
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-01-25       Impact factor: 6.237

4.  An active poroelastic model for mechanochemical patterns in protoplasmic droplets of Physarum polycephalum.

Authors:  Markus Radszuweit; Harald Engel; Markus Bär
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

5.  Towards a Physarum learning chip.

Authors:  James G H Whiting; Jeff Jones; Larry Bull; Michael Levin; Andrew Adamatzky
Journal:  Sci Rep       Date:  2016-02-03       Impact factor: 4.379

  5 in total

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