Ponencia
The Stochastic Loss of Spikes in Spiking Neural P Systems: Design and Implementation of Reliable Arithmetic Circuits
Autor/es | Xu, Zihan
Cavaliere, Matteo An, Pei Vrudhula, Sarma Cao, Yu |
Fecha de publicación | 2014 |
Fecha de depósito | 2016-01-29 |
Publicado en |
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ISBN/ISSN | 978-84-940056-4-0 |
Resumen | 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 ... 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 di erent 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 e cient way. The constructed bio-inspired circuits can be used to encode basic arithmetic modules. |
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