Flow modes provide a quantification of Physarum network peristalsis

Ryan Wilkinson, Matthew Koziol, Karen Alim, Marcus Roper

Research output: Contribution to journalArticlepeer-review

Abstract

Physarum polycephalum is a foraging, network-forming organism known for its ability to make complex decisions and maintain memory of past stimuli without use of a complex nervous system. Self-organized peristaltic flows within the network transport nutrients throughout the organism and initiate locomotion and morphological changes. A key step in understanding P. polycephalum's ability to change behavior is therefore forming descriptors of this peristaltic flow. Here, we develop a dynamic network-based method for describing organism-wide patterns of tube contractions from videos of P. polycephalum. Our tool provides robust readouts of the diversity of global modes of tube contraction that could occur within a given network, based on its geometry and topology, and sensitively identifies when global peristaltic patterns emerge and dissipate.

Original languageEnglish
Article number101283
JournalFungal Ecology
Volume65
DOIs
StatePublished - Oct 2023

Keywords

  • Behavior
  • Biological network
  • Graph laplacian
  • Image analysis
  • Linear map
  • Peristalsis
  • Physarum polycephalum
  • Physical modeling
  • Singular value decomposition
  • Slime mold
  • Spectral analysis
  • Stokes equations

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