LAPSE:2021.0766
Published Article
LAPSE:2021.0766
Snapse: A Visual Tool for Spiking Neural P Systems
October 14, 2021
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.
Record ID
Keywords
membrane computing, spiking neural P systems, visual simulator
Subject
Suggested Citation
Fernandez ADC, Fresco RM, Cabarle FGC, de la Cruz RTA, Macababayao IH, Ballesteros KJ, Adorna HN. Snapse: A Visual Tool for Spiking Neural P Systems. (2021). LAPSE:2021.0766
Author Affiliations
Fernandez ADC: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Fresco RM: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Cabarle FGC: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
de la Cruz RTA: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Macababayao IH: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Ballesteros KJ: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Adorna HN: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Fresco RM: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Cabarle FGC: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
de la Cruz RTA: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Macababayao IH: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Ballesteros KJ: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Adorna HN: Algorithms and Complexity, Department of Computer Science, University of the Philippines Diliman, Quezon City, Metro Manila 1101, Philippines
Journal Name
Processes
Volume
9
Issue
1
First Page
pr9010072
Year
2020
Publication Date
2020-12-30
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr9010072, Publication Type: Journal Article
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Published Article
LAPSE:2021.0766
This Record
External Link
doi:10.3390/pr9010072
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287
Version History
[v1] (Original Submission)
Oct 14, 2021
Verified by curator on
Oct 14, 2021
This Version Number
v1
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This Version
URL Here
https://psecommunity.org/LAPSE:2021.0766
Original Submitter
Calvin Tsay
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