Computational power of sequential spiking neural P systems with multiple channels

Spiking neural P systems with multiple channels (SNP-MC systems, for short) are a kind of distributed parallel computing devices, inspired by the way that neurons communicate by means of spikes as well as one or more synaptic channels. SNP-MC systems working in synchronous mode have been investigate...

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Veröffentlicht in:Journal of membrane computing Jg. 3; H. 4; S. 270 - 283
Hauptverfasser: Lv, Zeqiong, Yang, Qian, Peng, Hong, Song, Xiaoxiao, Wang, Jun
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Singapore Springer Singapore 01.12.2021
Springer Nature B.V
Schlagworte:
Artificial Intelligence
Channels
Computation by Abstract Devices
Computational Biology/Bioinformatics
Computational Complexity and Complex Systems
Computer Science
Firing pattern
Neurons
Optimization
Regular Paper
Single-nucleotide polymorphism
Theory of Computation
Spiking neural P systems
Membrane computing
Sequential mode
Computational power
Spiking neural P systems with multiple channels
ISSN:2523-8906, 2523-8914
Online-Zugang:Volltext
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Zusammenfassung:Spiking neural P systems with multiple channels (SNP-MC systems, for short) are a kind of distributed parallel computing devices, inspired by the way that neurons communicate by means of spikes as well as one or more synaptic channels. SNP-MC systems working in synchronous mode have been investigated. This paper discusses SNP-MC systems working in sequential mode, i.e., sequential SNP-MC systems (SSNP-MC systems, for short). The combination of two sequential sub-modes and two strategies of rule application is considered, that is, four sequentiality strategies. It is proven that SSNP-MC systems working in four sequentiality strategies are Turing universal number generating and accepting devices, respectively.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2523-8906
2523-8914
DOI:10.1007/s41965-021-00089-9