DocumentCode :
3611446
Title :
On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses
Author :
Tao Song ; Jinbang Xu ; Linqiang Pan
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet., Qingdao, China
Volume :
14
Issue :
8
fYear :
2015
Firstpage :
960
Lastpage :
966
Abstract :
Spiking neural P systems with rules on synapses are a new variant of spiking neural P systems. In the systems, the neuron contains only spikes, while the spiking/forgetting rules are moved on the synapses. It was obtained that such system with 30 neurons (using extended spiking rules) or with 39 neurons (using standard spiking rules) is Turing universal. In this work, this number is improved to 6. Specifically, we construct a Turing universal spiking neural P system with rules on synapses having 6 neurons, which can generate any set of Turing computable natural numbers. As well, it is obtained that spiking neural P system with rules on synapses having less than two neurons are not Turing universal: i) such systems having one neuron can characterize the family of finite sets of natural numbers; ii) the family of sets of numbers generated by the systems having two neurons is included in the family of semi-linear sets of natural numbers.
Keywords :
medical computing; neurophysiology; Turing computable natural numbers; extended spiking rules; finite sets; rules-on-synapses; semilinear sets; spiking neural P systems; spiking-forgetting rules; Biological neural networks; Computational modeling; Fault diagnosis; Nanobioscience; Neurons; Registers; Standards; Bio-inspired computing; membrane computing; spiking neural P system; synapse; universality;
fLanguage :
English
Journal_Title :
NanoBioscience, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1241
Type :
jour
DOI :
10.1109/TNB.2015.2503603
Filename :
7337432
Link To Document :
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