propagation in excitable media provides an important example of spatio
temporal self-organization. The Belousov-Zhabotinsky (BZ) reaction and
the impulse propagation along nerve axons are two well-known examples
of this phenomenon. Excitable media have been modelled by continuous
partial differential equations and by discrete cellular automata. Here
we describe a simple three-states cellular automaton model based on t
he properties of excitation and recovery that are essential to excitab
le media. Our model is able to reproduce the dynamics of patterns obse
rved in excitable media.