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The Stochastic Loss of Spikes in Spiking Neural P Systems : Design and Implementation of Reliable Arithmetic Circuits

Xu Z., Cavaliere M., An P., Vrudhula S., Cao Y

Fundamenta Informaticae

2014

Vol. 134, nr 1/2

183--200

Spiking neural P systems (in short, SN P systems) have been introduced as computing devices inspired by the structure and functioning of neural cells. The presence of unreliable components in SN P systems can be considered in many different aspects. In this paper we focus on two types of unreliability: the stochastic delays of the spiking rules and the stochastic loss of spikes. We propose the implementation of elementary SN P systems with DRAM-based CMOS circuits that are able to cope with these two forms of unreliability in an efficient way. The constructed bio-inspired circuits can be used to encode basic arithmetic modules.