On string languages generated by sequential spiking neural P systems based on the number of spikes

DOI10.1007/s11047-015-9514-5zbMath1415.68132OpenAlexW1201336919MaRDI QIDQ2003449

Keqin Jiang, Yuzhou Zhang, Wen-Li Chen, Lin-Qiang Pan

Publication date: 8 July 2019

Published in: Natural Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11047-015-9514-5

zbMATH Keywords

membrane computingspiking neural P systemsequentialitylanguage generator

Mathematics Subject Classification ID

Formal languages and automata (68Q45) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10)

Related Items

Computational completeness of spiking neural P systems with inhibitory rules for generating string languages ⋮ The computational power of enzymatic numerical P systems working in the sequential mode ⋮ Language generating alphabetic flat splicing P systems ⋮ An Overview of 2D Picture Array Generating Models Based on Membrane Computing ⋮ Generation of chain code pictures using cell-like spiking neural P system with several types of spikes ⋮ Numerical spiking neural P systems with production functions on synapses ⋮ Computational power of dynamic threshold neural P systems for generating string languages ⋮ Generating context-free languages using spiking neural P systems with structural plasticity

Cites Work

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• Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources
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• On string languages generated by spiking neural P systems with exhaustive use of rules
• Sequential SNP systems based on min/max spike number
• Asynchronous spiking neural P systems with local synchronization
• Uniform solutions to SAT and subset sum by spiking neural P systems
• Sequentiality Induced by Spike Number in SNP Systems: Small Universal Machines
• Spiking Neural P Systems with Weights
• SPIKE TRAINS IN SPIKING NEURAL P SYSTEMS
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