Steps toward a homogenization procedure for spiking neural P systems
Theoretical Computer Science, ISSN: 0304-3975, Vol: 981, Page: 114250
2024
- 3Citations
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations3
- Citation Indexes3
Article Description
A spiking neural P system (SN P system) is a model of computation inspired by the mechanism of a network of spiking neurons. A homogeneous SN P system is an SN P system whose neurons have identical rule set. In this work, we introduced an algorithm that, under certain condition, transforms a non-homogeneous SN P system Π to a homogeneous SN P system Π′ that computes the same set as the system Π. Two transformation operations called neuron translation and neuron scaling are introduced which are then used by the homogenization algorithm.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0304397523005637; http://dx.doi.org/10.1016/j.tcs.2023.114250; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85174160852&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0304397523005637; https://dx.doi.org/10.1016/j.tcs.2023.114250
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know