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

被引:10
|
作者
Xu, Zihan [1 ]
Cavaliere, Matteo [2 ]
An, Pei [1 ]
Vrudhula, Sarma [3 ]
Cao, Yu [1 ]
机构
[1] Arizona State Univ, Sch Elect Comp & Energy Engn, Tempe, AZ 85287 USA
[2] Univ Edinburgh, Sch Informat, Edinburgh EH8 9YL, Midlothian, Scotland
[3] Arizona State Univ, Sch Comp Informat & Decis Syst Engn, Tempe, AZ 85287 USA
关键词
Stochastic systems;
D O I
10.3233/FI-2014-1098
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:183 / 200
页数:18
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