Ermentrout G B, Edelstein-Keshet L
Department of Mathematics and Statistics, University of Pittsburgh, PA 15260.
J Theor Biol. 1993 Jan 7;160(1):97-133. doi: 10.1006/jtbi.1993.1007.
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.
我们回顾了一些基于生物学动机的细胞自动机（CA），它们出现在可兴奋和振荡介质模型、发育生物学、神经生物学以及种群生物学中。我们提出了一些技术和理论论据，以实现更高的速度和增强的现实感，并将其应用于几个模式形成的经典例子。我们还描述了在成纤维细胞聚集、分支网络、追踪和神经元图谱模型中出现的细胞自动机。
