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

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WebSnapse Reloaded: The Next-Generation Spiking Neural P System Visual Simulator using Client-Server Architecture

Authors
Mutya Gulapa1, *, Jarred Sueño Luzada1, Francis George C. Cabarle1, 2, Henry N. Adorna1, Kelvin Buño1, Daryll Ko1
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, 3US, SCORE Lab, Universidad de Sevilla, Avda. Reina Mercedes S/N, 41012, Sevilla, Spain
*Corresponding author. Email: lmgallos@up.edu.ph
Corresponding Author
Mutya Gulapa
Available Online 29 February 2024.
DOI
10.2991/978-94-6463-388-7_26How to use a DOI?
Keywords
membrane computing; spiking neural p systems; visual simulator
Abstract

Spiking Neural P Systems (SN P Systems) replicate the brain’s information spiking mechanism through synapses. These systems are known for trading memory for time, making them useful in different areas both inside and outside computer science. While web-based simulators likeWebSnapse offer the potential for centralized GUIs to simulate SN P system variants, their architecture, codebase, and technologies limit their capabilities. This paper presents WebSnapse Reloaded, a recreated version designed for centralization, optimization, and improved user and developer experiences. With a client-server architecture, it enhances storage usage, scalability, and future development possibilities. The modular codebase simplifies extension and maintenance. Optimizations include algorithm refinement through matrix representation and enhanced user experience. WebSnapse Reloaded reduces task steps, improves software implementation, passes correctness benchmarks, and resolves previous issues. Future recommendations include integrating WebGL or alternative graphing libraries, and developing APIs for other SN P variants to streamline simulator extension.

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_26How 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  - Mutya Gulapa
AU  - Jarred Sueño Luzada
AU  - Francis George C. Cabarle
AU  - Henry N. Adorna
AU  - Kelvin Buño
AU  - Daryll Ko
PY  - 2024
DA  - 2024/02/29
TI  - WebSnapse Reloaded: The Next-Generation Spiking Neural P System Visual Simulator using Client-Server Architecture
BT  - Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023)
PB  - Atlantis Press
SP  - 434
EP  - 461
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-388-7_26
DO  - 10.2991/978-94-6463-388-7_26
ID  - Gulapa2024
ER  -