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Abstract
Spiking Neural P Systems (SN P Systems) is a bio-inspired computing model, abstracting the model of brain in processing information using spikes and neurons. The theoretical study of the model has proved that it can compute sets of positive numbers, Boolean functions and string languages. Cycle picture language is a set of pictures obtained using cycle grammar and chain code representation. In this paper we aim to compute the cycle picture languages using a variant of SN P system namely, Sequential SN P System using neurons and spiking rules. We compute the cycle picture language of sequence of chains.
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