Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)

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WebSnapse v3: Optimization of the Web-based Simulator of Spiking Neural P System using Matrix Representation, WebAssembly and Other Tools

Authors
Louie Gallos1, Jose Lorenzo Sotto1, Francis George C. Cabarle1, 2, *, Henry N. Adorna1
1Dept. of Computer Science, College of Engineering, University of the Philippines Diliman, Diliman, Quezon City, 1101, Philippines
2Research Group On Natural Computing, Dept. of Computer Science and AI, I3US, SCORE Lab, Universidad de Sevilla, Avda. Reina Mercedes S/N, 41012, Sevilla, Spain
*Corresponding author. Email: fccabarle@up.edu.ph Email: fcabarle@us.es
Corresponding Author
Francis George C. Cabarle
Available Online 29 February 2024.
DOI
10.2991/978-94-6463-388-7_25How to use a DOI?
Keywords
membrane computing; spiking neural p system; matrices; simulation
Abstract

Spiking Neural P systems (SN P system) are a kind of distributed and parallel computational model under membrane computing inspired by how neurons typically communicate with each other through the sending of spikes between synapses. To further study SN P systems, various dedicated simulators have been developed. WebSnapse, a web-based simulator of SN P systems, has been used to serve as visual aid for creating, modifying, and simulating SN P systems. This was upgraded on WebSnapse v2.0 by improving existing functionalities and adding support for more variants of SN P system. However, WebSnapse suffered performance and stability issues, especially when simulating larger SN P systems. This research aims to optimize the performance and stability of WebSnapse using a new way of computing the next state of the system while achieving feature parity with WebSnapse v2.0 and adding LaTeX support for rule input and visualization.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 February 2024
ISBN
978-94-6463-388-7
ISSN
2589-4900
DOI
10.2991/978-94-6463-388-7_25How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Louie Gallos
AU  - Jose Lorenzo Sotto
AU  - Francis George C. Cabarle
AU  - Henry N. Adorna
PY  - 2024
DA  - 2024/02/29
TI  - WebSnapse v3: Optimization of the Web-based Simulator of Spiking Neural P System using Matrix Representation, WebAssembly and Other Tools
BT  - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
PB  - Atlantis Press
SP  - 415
EP  - 433
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-388-7_25
DO  - 10.2991/978-94-6463-388-7_25
ID  - Gallos2024
ER  -