DocumentCode :
1851380
Title :
Spiking Neural P Systems for Arithmetic Operations
Author :
Zeng, Xiangxiang ; Song, Tao ; Pan, Linqiang ; Zhang, Xingyi
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
27-29 Sept. 2011
Firstpage :
296
Lastpage :
301
Abstract :
Recently, Gutierrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices -- spiking neural P systems (for short, SN P systems). However, the binary encoding mechanism used in their research looks like the encoding approach in electronic circuits, instead of the style of spiking neurons (in usual SN P systems, information are encoded as the time interval between spikes). In this work, three SN P systems are constructed as adder, subtracter and multiplier, respectively. In these devices, a number is inputted to the system as the interval of time elapsed between two spikes received by input neuron, the result of a computation is the time between the moments when the output neuron spikes.
Keywords :
biocomputing; digital arithmetic; neural nets; arithmetic operations; binary encoding mechanism; bioinspired computing devices; electronic circuits; input neuron spikes; output neuron spikes; spiking neural P systems; Adders; Computational modeling; Educational institutions; Encoding; Generators; Neurons; Tin; arithmetic operation; membrane computing; spiking neural P system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1092-6
Type :
conf
DOI :
10.1109/BIC-TA.2011.42
Filename :
6046916
Link To Document :
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