Lattice gas cellular automation model for rippling and aggregation in myxobacteria

DOI10.1016/j.physd.2003.11.012zbMath1049.92014arXivq-bio/0401014OpenAlexW2056147795MaRDI QIDQ1885877

Yi Jiang, Maria A. Kiskowski, Mark S. Alber

Publication date: 12 November 2004

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/q-bio/0401014

zbMATH Keywords

Cellular automataStatistical mechanicsAggregationPattern formationMyxobacteriaCollective behaviorRippling

Mathematics Subject Classification ID

Developmental biology, pattern formation (92C15) Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20) Cell biology (92C37) Applications of statistical mechanics to specific types of physical systems (82D99)

Related Items (7)

Distinguishing between mechanisms of cell aggregation using pair-correlation functions ⋮ A new mechanism for collective migration in myxococcus Xanthus ⋮ Wavenumber selection in coupled transport equations ⋮ Extracting cellular automaton rules from physical Langevin equation models for single and collective cell migration ⋮ An individual based model of rippling movement in a myxobacteria population ⋮ Parameter estimation with a novel gradient-based optimization method for biological lattice-gas cellular automaton models ⋮ ON MODELING COMPLEX COLLECTIVE BEHAVIOR IN MYXOBACTERIA

Cites Work

• Emerging patterns in a hyperbolic model for locally interacting cell systems
• A Stochastic Cellular Automaton Modeling Gliding and Aggregation of Myxobacteria
• Unnamed Item

This page was built for publication: Lattice gas cellular automation model for rippling and aggregation in myxobacteria