2014 | OriginalPaper | Buchkapitel
Reversible Spiking Neural P Systems with Astrocytes
verfasst von : Yuan Kong, Xiaolong Shi, Jinbang Xu, Xinquan Huang
Erschienen in: Bio-Inspired Computing - Theories and Applications
Verlag: Springer Berlin Heidelberg
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Spiking neural P systems with astrocytes (SNPA systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, we investigate the reversibility in SNPA systems as well as the computing power of reversible SNPA systems. It is proved that reversible SNPA systems are universal even if the forgetting rules and the feature of delay in spiking rules are not used, and each neuron contains only one spiking rule. The result suggests that the astrocytes do play a key role in achieving a desired computing power for reversible SNPA systems.