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Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay
Joint Authors
Bibi, Alia
Xu, Fei
Adorna, Henry N.
Cabarle, Francis George C.
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-14
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Spiking neural P systems with scheduled synapses are a class of distributed and parallel computational models motivated by the structural dynamism of biological synapses by incorporating ideas from nonstatic (i.e., dynamic) graphs and networks.
In this work, we consider the family of spiking neural P systems with scheduled synapses working in the sequential mode: at each step the neuron(s) with the maximum/minimum number of spikes among the neurons that can spike will fire.
The computational power of spiking neural P systems with scheduled synapses working in the sequential mode is investigated.
Specifically, the universality (Turing equivalence) of such systems is obtained.
American Psychological Association (APA)
Bibi, Alia& Xu, Fei& Adorna, Henry N.& Cabarle, Francis George C.. 2019. Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay. Complexity،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1132673
Modern Language Association (MLA)
Bibi, Alia…[et al.]. Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay. Complexity No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1132673
American Medical Association (AMA)
Bibi, Alia& Xu, Fei& Adorna, Henry N.& Cabarle, Francis George C.. Sequential Spiking Neural P Systems with Local Scheduled Synapses without Delay. Complexity. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1132673
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132673