标题： 关于由具有动态激发间隔的可兴奋细胞自动机生成的配置多样性 显示英文标题

标题： On diversity of configurations generated by excitable cellular automata with dynamical excitation intervals

摘要： 具有动态兴奋区间可激发元胞自动机表现出多种时空动力学特性，这些特性源于传播的兴奋模式与自动机单元可激性的相互作用。 这种相互作用导致了稳定的兴奋域、驻波和局域化兴奋的形成。 我们分析了所研究函数的形态多样性和生成多样性，并确定了具有最高多样性值的函数。 在其他引人入胜的发现中，我们发现兴奋区间的上边界对生成配置的形态多样性的影响比下边界更为显著，并且在产生具有最高形态多样性的兴奋配置的函数与产生具有最高形态多样性的区间边界配置的函数之间不存在匹配。 未来对具有动态变化可激性的可激发介质的研究方向可能集中在自动机模型与活体可激发介质（例如神经组织和肌肉）、具有存储电阻特性的新型材料以及导电聚合物网络的关系上。 显示英文摘要

摘要： Excitable cellular automata with dynamical excitation interval exhibit a wide range of space-time dynamics based on an interplay between propagating excitation patterns which modify excitability of the automaton cells. Such interactions leads to formation of standing domains of excitation, stationary waves and localised excitations. We analysed morphological and generative diversities of the functions studied and characterised the functions with highest values of the diversities. Amongst other intriguing discoveries we found that upper boundary of excitation interval more significantly affects morphological diversity of configurations generated than lower boundary of the interval does and there is no match between functions which produce configurations of excitation with highest morphological diversity and configurations of interval boundaries with highest morphological diversity. Potential directions of future studies of excitable media with dynamically changing excitability may focus on relations of the automaton model with living excitable media, e.g. neural tissue and muscles, novel materials with memristive properties, and networks of conductive polymers.