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