Literature DB >> 27289474

A revised model of fluid transport optimization in Physarum polycephalum.

Vincenzo Bonifaci1.   

Abstract

Optimization of fluid transport in the slime mold Physarum polycephalum has been the subject of several modeling efforts in recent literature. Existing models assume that the tube adaptation mechanism in P. polycephalum's tubular network is controlled by the sheer amount of fluid flow through the tubes. We put forward the hypothesis that the controlling variable may instead be the flow's pressure gradient along the tube. We carry out the stability analysis of such a revised mathematical model for a parallel-edge network, proving that the revised model supports the global flow-optimizing behavior of the slime mold for a substantially wider class of response functions compared to previous models. Simulations also suggest that the same conclusion may be valid for arbitrary network topologies.

Entities:  

Keywords:  Network dynamics; Nonequilibrium dynamics; Shortest path; Transport cost

Mesh:

Year:  2016        PMID: 27289474     DOI: 10.1007/s00285-016-1036-y

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  8 in total

1.  Maze-solving by an amoeboid organism.

Authors:  T Nakagaki; H Yamada; A Tóth
Journal:  Nature       Date:  2000-09-28       Impact factor: 49.962

2.  Mathematical model for rhythmic protoplasmic movement in the true slime mold.

Authors:  Ryo Kobayashi; Atsushi Tero; Toshiyuki Nakagaki
Journal:  J Math Biol       Date:  2006-06-13       Impact factor: 2.259

3.  A mathematical model for adaptive transport network in path finding by true slime mold.

Authors:  Atsushi Tero; Ryo Kobayashi; Toshiyuki Nakagaki
Journal:  J Theor Biol       Date:  2006-07-24       Impact factor: 2.691

4.  Rules for biologically inspired adaptive network design.

Authors:  Atsushi Tero; Seiji Takagi; Tetsu Saigusa; Kentaro Ito; Dan P Bebber; Mark D Fricker; Kenji Yumiki; Ryo Kobayashi; Toshiyuki Nakagaki
Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

5.  Functional organization of the vascular network of Physarum polycephalum.

Authors:  Werner Baumgarten; Marcus J B Hauser
Journal:  Phys Biol       Date:  2013-02-13       Impact factor: 2.583

6.  Physarum can compute shortest paths.

Authors:  Vincenzo Bonifaci; Kurt Mehlhorn; Girish Varma
Journal:  J Theor Biol       Date:  2012-06-23       Impact factor: 2.691

7.  Random network peristalsis in Physarum polycephalum organizes fluid flows across an individual.

Authors:  Karen Alim; Gabriel Amselem; François Peaudecerf; Michael P Brenner; Anne Pringle
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-29       Impact factor: 11.205

8.  Current-reinforced random walks for constructing transport networks.

Authors:  Qi Ma; Anders Johansson; Atsushi Tero; Toshiyuki Nakagaki; David J T Sumpter
Journal:  J R Soc Interface       Date:  2012-12-26       Impact factor: 4.118

  8 in total
  1 in total

1.  Multicommodity routing optimization for engineering networks.

Authors:  Alessandro Lonardi; Mario Putti; Caterina De Bacco
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

  1 in total

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