Abstract
We use an excitable medium for dynamic pattern processing. For this purpose the autowave structures arising from the light-sensitive Belouzov-Zhabotinsky reaction could serve as attractors. The dynamics is simulated as a non-linear network with local interaction in terms of cellular automata. With the help of a set of threshold electrodes the actual state is projected into a space of bytes. At the end of the adaptation procedure for the parameters we achieved the ability of this system for pattern recognition. Dynamic and statis pattern processing are compared with respect to information capacity and adaption time.
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