Flow Modes Provide a Quantification of Physarum Network Peristalsis

Ryan Wilkinson, Matthew Koziol,Karen Alim,Marcus Roper

SSRN Electronic Journal(2022)

引用 0|浏览1
暂无评分
摘要
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.
更多
查看译文
关键词
Slime mold, Physarum polycephalum, Behavior, Biological network, Peristalsis, Physical modeling, Spectral analysis, Stokes equations, Singular value decomposition, Graph laplacian, Linear map, Image analysis
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要