Collective behavior in coupled dynamical systems on two-dimensional weighted networks: A step toward understanding adaptive behavior of true slime mold

TL;DR

This study models the adaptive oscillating behavior of slime mold using coupled map systems on weighted networks, revealing how network weight distribution influences synchronization and pattern formation.

Contribution

It introduces a novel network-based model of slime mold behavior, linking tube width distribution to oscillation synchronization in coupled dynamical systems.

Findings

Synchronization probability varies with weight distribution.

Oscillating patterns are influenced by tube cross-sections.

Network structure affects adaptive behavior.

Abstract

Plasmodium of true slime mold, Physarum polycephalum, is an amoeboid organism, which spreads with developing tubular network structure and crawls on two-dimensional plane with oscillating the cell thickness. The plasmodium transforms its tubular network structure to adapt to the environment. To reveal the effect of the network structure on the oscillating behavior of the plasmodium, we constructed coupled map systems on two-dimensional weighted networks as models of the plasmodium, and investigated the relation between the distribution of weights on the network edges and the synchronization in the system. We found the probability that the system shows phase synchronization changes drastically with the weight distribution even if the total weight is constant. This implies the oscillating patterns observed in the plasmodium are controlled by the tube widths or cross-sections in the tubular networks.