Research Article
Spiking Neural P Systems with Different Weight Structural Plasticity
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 58 |
| Published: November 2025 |
| Authors: Rosini B., K.S. Dersanambika, Anitha P. |
10.5120/ijca2025925884
|
Rosini B., K.S. Dersanambika, Anitha P. . Spiking Neural P Systems with Different Weight Structural Plasticity. International Journal of Computer Applications. 187, 58 (November 2025), 1-5. DOI=10.5120/ijca2025925884
@article{ 10.5120/ijca2025925884,
author = { Rosini B.,K.S. Dersanambika,Anitha P. },
title = { Spiking Neural P Systems with Different Weight Structural Plasticity },
journal = { International Journal of Computer Applications },
year = { 2025 },
volume = { 187 },
number = { 58 },
pages = { 1-5 },
doi = { 10.5120/ijca2025925884 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2025
%A Rosini B.
%A K.S. Dersanambika
%A Anitha P.
%T Spiking Neural P Systems with Different Weight Structural Plasticity%T
%J International Journal of Computer Applications
%V 187
%N 58
%P 1-5
%R 10.5120/ijca2025925884
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Spiking neural P systems (in short SNP systems) [4] are the computing devices inspired by the spiking neurons. Spiking neural P systems with Structural Plasticity (SNPSP systems) is a variant of SNP systems in which the biological feature of structural plasticity is incorporated. In this paper, we extend and generalize the spike - travel between neurons. In 2012, L. Pan et. al. [6] proposed weighted synapses inspired from the biological concept that each pair of neurons is connected by several synapses. Different multiple synaptic connections of each pair of neurons extends this study for a variant SNP systems with different weight structural plasticity and its universality.
References
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