Snapse: A Visual Tool for Spiking Neural P Systems

Spiking neural P (SN P) systems are models of computation inspired by spiking neurons and part of the third generation of neuron models. SN P systems are equivalent to Turing machines and are able to solve computationally hard problems using a space-time trade-off. Research in SN P systems theory is...

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Veröffentlicht in:Processes 2021-01, Vol.9 (1), p.72
Hauptverfasser: Fernandez, Aleksei Dominic C., Fresco, Reyster M., Cabarle, Francis George C., de la Cruz, Ren Tristan A., Macababayao, Ivan Cedric H., Ballesteros, Korsie J., Adorna, Henry N.
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Sprache:eng
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Zusammenfassung:Spiking neural P (SN P) systems are models of computation inspired by spiking neurons and part of the third generation of neuron models. SN P systems are equivalent to Turing machines and are able to solve computationally hard problems using a space-time trade-off. Research in SN P systems theory is especially active, more so in recent years as more efforts are directed towards their real-world applications. Usually, SN P systems are represented visually as a directed graph and simulated through mainly text-based simulations or tables. Thus, there is a need for tools that can simulate and create SN P Systems in a visual and easy-to-use manner. Snapse is such a tool which aims to hasten the speed and ease at which researchers may create and experiment with SN P systems. Furthermore, visual tools such as Snapse can help further bring SN P systems outside of theoretical computer science.
ISSN:2227-9717
2227-9717
DOI:10.3390/pr9010072