Titlebook: Cellular Automaton Modeling of Biological Pattern Formation; Characterization, Ex Andreas Deutsch,Sabine Dormann Textbook 2017Latest editio

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https://doi.org/10.1007/978-3-322-87389-7 across many scales ranging from subcellular systems, bacteria, normal and malignant cells, to insects, fish, birds, and mammals. Examples include cytoskeletal patterns, bacterial swarms, bird flocks, and fish schools. Other well-known examples at the cellular level are streaming patterns of the cel

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https://doi.org/10.1007/978-3-322-87415-3eractions of discrete objects, particularly of interacting discrete biological cells. In this book, cellular automata are proposed as models for spatially extended systems of interacting cells. Cellular automata are neither a replacement for (or discretization of) traditional (continuous) mathematic

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Springer Science+Business Media New York 2017

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Definitionen und Struktur der Stichprobe,In this chapter, an LGCA is introduced as model for pattern formation in salamander larvae. After providing the biological background the model is defined and tested by means of simulations. Model results demonstrate that the larval stripe pattern can arise solely as a consequence of direct cell interactions.

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Turing Patterns and Excitable MediaIn this chapter we demonstrate how cellular automata can be used to analyze Turing-type interactions and excitable media. In particular, we show that mean-field analysis of the cellular automaton models allows to deduce the important pattern characteristics observed in simulations.