TY - JOUR
T1 - The stochastic loss of spikes in spiking neural P systems
T2 - Design and implementation of reliable arithmetic circuits
AU - Xu, Zihan
AU - Cavaliere, Matteo
AU - An, Pei
AU - Vrudhula, Sarma
AU - Cao, Yu
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
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U2 - 10.3233/FI-2014-1098
DO - 10.3233/FI-2014-1098
M3 - Article
AN - SCOPUS:84912060159
SN - 0169-2968
VL - 134
SP - 183
EP - 200
JO - Fundamenta Informaticae
JF - Fundamenta Informaticae
IS - 1-2
ER -