Automated analysis of Physarum network structure and dynamics

Mark Fricker; Luke Heaton; Nick Jones; Toshiyuki Nakagaki; Dai Akita; Boguslaw Obara

The First International Workshop on Physarum Transport Networks

Research Article

Automated analysis of Physarum network structure and dynamics

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.3-12-2015.2262482,
    author={Mark Fricker and Luke Heaton and Nick Jones and Toshiyuki Nakagaki and Dai Akita and Boguslaw Obara},
    title={Automated analysis of Physarum network structure and dynamics},
    proceedings={The First International Workshop on Physarum Transport Networks},
    publisher={ACM},
    proceedings_a={PHYSNET},
    year={2016},
    month={5},
    keywords={physarum network dynamics phase congruency tensors},
    doi={10.4108/eai.3-12-2015.2262482}
}

Mark Fricker
Luke Heaton
Nick Jones
Toshiyuki Nakagaki
Dai Akita
Boguslaw Obara
Year: 2016
Automated analysis of Physarum network structure and dynamics
PHYSNET
ACM
DOI: 10.4108/eai.3-12-2015.2262482

Mark Fricker¹^,*, Luke Heaton¹, Nick Jones², Toshiyuki Nakagaki³, Dai Akita³, Boguslaw Obara⁴

1: University of Oxford
2: Imperial College
3: Hokkaido University
4: Durham University

*Contact email: mark.fricker@plants.ox.ac.uk

Abstract

We describe software tools to extract the network architecture from time-series of Physarum development using intensity-independent, phase-congruency tensors and watershed segmentation to give a set of weighted adjacency matrices with the physical size of each tube. The network can also be interrogated to map the phase, amplitude and frequency of the oscillations using windowed Fourier techniques.

Keywords: physarum network dynamics phase congruency tensors

Published: 2016-05-24
Publisher: ACM

: http://dx.doi.org/10.4108/eai.3-12-2015.2262482