Homogeneous Spiking Neural P Systems without Delays

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Spiking neural P systems are a new class of bio-inspired computing devices incorporating the ideas of spiking neural networks into P systems. Homogeneous spiking neural P systems are a variant of spiking neural P systems, where each neuron has the same set of rules. The universality of homogeneous spiking neural P systems without delays is investigated and proved. This paper provides an answer to an open problem formulated by Zeng Xiangxiang, etal.

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2880-2883

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ionescu M, Pǎun G, Yokomori T. Spiking Neural P Systems[J]. Fundamenta Informaticae, 2006, 71 (2-3): 279-308.

Google Scholar

[2] Zhang Gexiang, Pan Linqiang. A Survey of Membrane Computing As a New Branch of Natural Computing[J]. Chinese Journal of Computers, 2010, 33(2): 208-214. (in Chinese).

DOI: 10.3724/sp.j.1016.2010.00208

Google Scholar

[3] Zeng Xiangxiang, Zhang Xingyi, Pan Linqiang. Homogeneous spiking neural p systems[J]. Fundaments Informaticae, 2009, 97(1-2): 275-294.

DOI: 10.3233/fi-2009-200

Google Scholar

[4] Pan Linqiang, Zeng Xiangxiang, Zhang Xingyi. Spiking neural P systems with weighted synapses[J]. Neural Processing Letters, 2012, 35(1): 13-27.

DOI: 10.1007/s11063-011-9201-1

Google Scholar

[5] Minsky L M. Computation-Finite and Infinite Machines[M]. New Jersey: Prentice-Hall, Englewood Clifs, (1967).

Google Scholar