Chinese Journal of Computers   Full Text
Title	Research Advances and Prospect of Spiking Neural P Systems
Authors	PAN Lin-Qiang ZHANG Xing-Yi ZENG Xiang-Xiang WANG Jun
Address	(Key Laboratory of Image Processing and Intelligent Control, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074)
Year	2008
Issue	No.12(2090—2096)
Abstract &   Background	Abstract Spiking neural P systems are a new computing model inspired from the biological phenomena that in the brain the neurons cooperate to deal with spikes by axons. Since it has been shown that they have powerful computational capability and potential capability in solving computationally hard problems, more and more people begin to get interested in this field. This paper firstly introduces the formal definition of standard spiking neural P systems and some notions which are often used in this area; then, several extensions of the original spiking neural P systems are summarized, that are: Extented SN P system; SN P system with exhaustive use of rules; Asynchronous SN P system; Sequential SN P system. Also, the results on the topic of spiking neural P systems are briefly recalled in two aspects: computational completeness and computational efficiency. In the end, two more important future research directions on spiking neural P systems are pointed out. Specifically, one interesting topic is to develop a new computing model which is more “realistic”; another topic is to consider how to use these models in biological modeling and simulation. Keywords natural computing; membrane computing; spiking neural P systems; computational completeness; computational efficiency