title: Cellular automata approaches to biological modeling.
abstract: We review a number of biologically motivated cellular automata (CA) that arise in models of excitable and oscillatory media, in developmental biology, in neurobiology, and in population biology. We suggest technical and theoretical arguments that permit greater speed and enhanced realism, and apply these to several classical examples of pattern formation. We also describe CA that arise in models for fibroblast aggregation, branching networks, trail following, and neuronal maps.
authors: Department of Mathematics and Statistics, University of Pittsburgh, PA 15260.
authors: G B
authors: GB
authors: Ermentrout
authors: L
authors: L
authors: Edelstein-Keshet
mesh_terms: D000486:Allergy and Immunology; D000818:Animals; D001419:Bacteria / Q000254:growth & development; D003198:Computer Simulation; D015509:Developmental Biology; D004463:Ecology; D006801:Humans; D008954:Models, Biological; D016571:Neural Networks, Computer