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dc.contributor.authorPan, Linqiangen
dc.contributor.authorPaun, Gheorgeen
dc.contributor.authorZhang, Gexiangen
dc.contributor.authorNeri, Ferranteen
dc.date.accessioned2017-08-17T09:59:08Z
dc.date.available2017-08-17T09:59:08Z
dc.date.issued2017-10-05
dc.identifier.citationPan, L., Paun, G., Zhang, G. and Neri, F. (2017) Spiking Neural P Systems with Communication on Request. International Journal of Neural Systems, 27 (8), 1750042en
dc.identifier.urihttp://hdl.handle.net/2086/14421
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractSpiking Neural P Systems are Neural System models characterised by the fact that each neuron mimics a biological cell and the communication between neurons is based on spikes. In the Spiking Neural P systems investigated so far, the application of evolution rules depends on the contents of a neuron (checked by means of a regular expression). In these P systems, a speci ed number of spikes are consumed and a speci ed number of spikes are produced, and then sent to each of the neurons linked by a synapse to the evolving neuron. In the present work, a novel communication strategy among neurons of Spiking Neural P Systems is proposed. In the resulting models, called Spiking Neural P Systems with Communication on Request, the spikes are requested from neighbouring neurons, depending on the contents of the neuron (still checked by means of a regular expression). Unlike the traditional Spiking Neural P systems, no spikes are consumed or created: the spikes are only moved along synapses and replicated (when two or more neurons request the contents of the same neuron). The Spiking Neural P Systems with Communication on Request are proved to be computationally universal, that is, equivalent with Turing machines as long as two types of spikes are used. Following this work, further research questions are listed to be open problems.en
dc.language.isoenen
dc.publisherWorld Scientificen
dc.subjectBio-inspired Computingen
dc.subjectMembrane Computingen
dc.subjectP Systemen
dc.subjectArtificial Neural Networken
dc.subjectSpiking Neural Networken
dc.titleSpiking Neural P Systems with Communication on Requesten
dc.typeArticleen
dc.identifier.doihttps://doi.org/10.1142/S0129065717500423
dc.researchgroupCentre for Computational Intelligenceen
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceCC-BY-NCen
dc.date.acceptance2017-08-10en
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en


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