Control Languages Associated with Labelled Spiking Neural P Systems with Mute Rules

This paper introduces labelled spiking neural P systems with mute rules (LSNP-MR systems), combining existing mute rules with a labelling mechanism for rules. We investigate these systems both as language generators and acceptors, proving that LSNP-MR systems can generate languages beyond the context-free class and recognize context-sensitive languages. Our results demonstrate that the synergy between labelling and mute rules extends the computational power of spiking neural P systems while maintaining biological plausibility.

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Publication Details

Journal
International Journal of Foundations of Computer Science
Published
2025-10-31
DOI
https://doi.org/10.1142/s0129054125500406
Citations
2
Primary Topic
DNA and Biological Computing
Type
article
Field-Weighted Citation Impact
1.61
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article

Control Languages Associated with Labelled Spiking Neural P Systems with Mute Rules

Lisa Mathew, Jincy Sebastian
2 citations
International Journal of Foundations of Computer Science
DNA and Biological Computing
1.61
article

Control Languages Associated with Labelled Spiking Neural P Systems with Mute Rules

Lisa Mathew, Jincy Sebastian
article en
2 citations

Abstract

This paper introduces labelled spiking neural P systems with mute rules (LSNP-MR systems), combining existing mute rules with a labelling mechanism for rules. We investigate these systems both as language generators and acceptors, proving that LSNP-MR systems can generate languages beyond the context-free class and recognize context-sensitive languages. Our results demonstrate that the synergy between labelling and mute rules extends the computational power of spiking neural P systems while maintaining biological plausibility.

International Journal of Foundations of Computer Science
APJ Abdul Kalam Technological University (IN), Amal Jyothi College of Engineering
Openalex Percentile: Top 14%
DNA and Biological Computing
1.61
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