Extracting cellular automaton rules from physical Langevin equation models for single and collective cell migration

Cellular automata (CA) are discrete time, space, and state models which are extensively used for modeling biological phenomena. CA are “on-lattice” models with low computational demands. In particular, lattice-gas cellular automata (LGCA) have been introduced as models of single and collective cell...

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Veröffentlicht in:	Journal of mathematical biology 2017-11, Vol.75 (5), p.1075-1100
Hauptverfasser:	Nava-Sedeño, J. M., Hatzikirou, H., Peruani, F., Deutsch, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Alignment Applications of Mathematics Automata theory Cell adhesion & migration Cell Communication - physiology Cell interactions Cell migration Cell Movement - physiology Cellular automata Computer applications Computer Simulation Fokker-Planck equation Fourier Analysis Kinetics Mathematical and Computational Biology Mathematical Concepts Mathematical models Mathematics Mathematics and Statistics Models, Biological Movement - physiology Nematic Order parameters Stochastic Processes
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