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 language | English |
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Article number | 101283 |
Journal | Fungal Ecology |
Volume | 65 |
DOIs | |
State | Published - 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