1990
DOI: 10.1038/347056a0
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Isotropic cellular automaton for modelling excitable media

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Cited by 191 publications
(80 citation statements)
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“…However, 'cellular automata' in a broader sense may be favourable tools for modelling complexity, self organisation and even nonlinear dynamics. [33][34][35] The examples presented here are not based on assumptions about the time scale and the molecular mechanisms underlying cell-to-cell communication. Therefore, they are open for further refinements in order to simulate observed events and concrete mechanisms.…”
Section: Discussionmentioning
confidence: 99%
“…However, 'cellular automata' in a broader sense may be favourable tools for modelling complexity, self organisation and even nonlinear dynamics. [33][34][35] The examples presented here are not based on assumptions about the time scale and the molecular mechanisms underlying cell-to-cell communication. Therefore, they are open for further refinements in order to simulate observed events and concrete mechanisms.…”
Section: Discussionmentioning
confidence: 99%
“…Because this is an essentially discrete process, we employ a discrete coupled map lattice, or lattice Boltzmann model, with a square lattice of discrete space and time but continuous state variables, that puts nucleation and growth on an equal footing. The surface is divided into a randomized grid of cells, as introduced by Markus and Hess (16), to avoid anisotropic growth. Each cell has a growth height H(i, j), initially zero, updated at the end of each iteration of the growth.…”
Section: Liquid-crystal Layer Growth Model Of Nacrementioning
confidence: 99%
“…These latticegas automata are probabilistic cellular automata that employ a particle description of the dynamics and should be distinguished from other cellular automata that are designed to simulate reaction-diffusion equation dynamics. [13][14][15] While most of the phenomena of interest occur on sufficiently long space and time scales that a continuum description using reaction-diffusion equations is appropriate, the cellular automaton models have the advantage that they naturally incorporate fluctuations that are responsible for the nucleation events that play a role in the process and, as well, can be extended to smaller scales where continuum models are no longer appropriate. Cellular automaton models allow one to describe the system at a mesoscopic level which incorporates the essential mechanistic features of the reaction dynamics.…”
Section: Introductionmentioning
confidence: 99%