A cellular automaton model for collective motion of microorganisms

Yasushi Iwatani, Koichi Hashimoto, Yuki Deguchi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a cellular automaton model for collective motion of Paramecia which are unicellular microorganisms. The proposed model represents motion combined with four types of locomotor behavior of Paramecia: the avoiding reaction, the escape reaction, galvanotaxis and chemotaxis. The avoiding reaction and the escape reaction are described by an internal state variable of each Paramecium in our model. A potential function is introduced in order to express galvanotaxis and chemotaxis. The validation of the proposed model is demonstrated by comparing simulation results with observations.

Original languageEnglish
Title of host publicationProgramme of the 11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Complex Systems Theory and Applications, LSS 2007
Pages161-166
Number of pages6
EditionPART 1
Publication statusPublished - 2007 Dec 1
Event11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Complex Systems Theory and Applications, LSS 2007 - Gdansk, Poland
Duration: 2007 Jul 23 → 2007 Jul 25

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume11
ISSN (Print)1474-6670

Other

Other11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Complex Systems Theory and Applications, LSS 2007
CountryPoland
CityGdansk
Period07/7/23 → 07/7/25

Keywords

  • Bio control
  • Cellular automaton
  • Complex systems
  • Large scale systems
  • Stochastic modeling

ASJC Scopus subject areas

  • Control and Systems Engineering

Access to Document

Fingerprint Dive into the research topics of 'A cellular automaton model for collective motion of microorganisms'. Together they form a unique fingerprint.

    • Cite this

    Iwatani, Y., Hashimoto, K., & Deguchi, Y. (2007). A cellular automaton model for collective motion of microorganisms. In Programme of the 11th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Complex Systems Theory and Applications, LSS 2007 (PART 1 ed., pp. 161-166). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 11, No. PART 1).