2025-03-252025-03-252024Gulapa, M., Luzada, J.S.,...,Ko, D. (2024). WebSnapse Reloaded: The Next-Generation Spiking Neural P System Visual Simulator using Client-Server Architecture. En Proceedings of the Workshop on Computation: Theory and Practice (WCTP 2023) (pp. 434-461). Atlantis Press.9789464633870https://hdl.handle.net/11441/170819Spiking 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.application/pdf28 p.engAttribution-NonCommercial 4.0 Internationalhttp://creativecommons.org/licenses/by-nc/4.0/Membrane computingSpiking neural p systemsVisual simulatorWebSnapse Reloaded: The Next-Generation Spiking Neural P System Visual Simulator using Client-Server Architectureinfo:eu-repo/semantics/bookPartinfo:eu-repo/semantics/openAccess10.2991/978-94-6463-388-7_26