期刊
THEORETICAL COMPUTER SCIENCE
卷 529, 期 -, 页码 82-95出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.tcs.2014.01.001
关键词
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资金
- National Natural Science Foundation of China [61033003, 91130034, 61320106005]
- Ph.D. Programs Foundation of Ministry of Education of China [20100142110072, 2012014213008]
- Natural Science Foundation of Hubei Province [2011CDA027]
Spiking neural P systems(SN P systems, for short) are a class of membrane systems inspired from the way the neurons process information and communicate by means of spikes. In this paper, we introduce and investigate a new class of SN P systems, with spiking rules placed on synapses. The computational completeness is first proved, then two small universal SN P systems with rules on synapses for computing functions are constructed. Specifically, when using standard spiking rules, we obtain a universal system with 39 neurons, while when using extended spiking rules on synapses, a universal SN P system with 30 neurons is constructed. (C) 2014 Elsevier B.V. All rights reserved.
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