Numerical WebSnapse: Hybrid Simulation and Visualization Tool for Numerical Spiking Neural P Systems
Rey Christian E. Delos Reyes, Francis George C. Cabarle, José Antonio Andreu-Guzmán, David Orellana-Martín, Luis Valencia-Cabrera and Miguel Ángel Martínez-Del-Amor
A recent variant of spiking neural P systems (SN P systems) are numerical SN P systems (NSN P systems). NSN P systems combine the spiking and neuron architecture of SN P systems and the computational processes of numerical P systems. Multiple attempts to simulate and visualize SN P Systems are already present such as the WebSnapse tool. Given that NSN P systems is a recent variant there is still a lack of Simulation and Visualization (S&V) tools for NSN P systems.We introduce Numerical WebSnapse: a tool intended for simulating and visualizing NSN P systems. The Numerical WebSnapse tool is based on a hybrid S&V architecture. Distributing processing tasks between the client and server improves performance and provides modularity, to facilitate scalability and flexibility with module implementations. We discuss the design and architecture of Numerical WebSnapse, how it improves on previous S&V tools for SN P sytems. Numerical WebSnapse is tested on various (non)deterministic NSN P systems from literature, including a stress testing for the tool.
Keywords: Membrane computing, simulation and visualization, numerical spiking neural p systems, client-server architecture
DOI: 10.32908/ijuc.v21.zhang01