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Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27039
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dc.contributor.authorYang, Zhijunen_UK
dc.contributor.authorGandhi, Vaibhav Sen_UK
dc.contributor.authorKaramanoglu, Mehmeten_UK
dc.contributor.authorGraham, Bruceen_UK
dc.date.accessioned2018-04-18T03:44:38Z-
dc.date.available2018-04-18T03:44:38Z-
dc.date.issued2015-10-01en_UK
dc.identifier.urihttp://hdl.handle.net/1893/27039-
dc.description.abstractThe Izhikevich spiking neuron model is a relatively new mathematical framework which is able to represent many observed spiking neuron behaviors, excitatory or inhibitory, by simply adjusting a set of four model parameters. This model is deterministic in nature and has achieved wide applications in analytical and numerical analysis of biological neurons due largely to its biological plausibility and computational efficiency. In this work we present a stochastic version of the Izhikevich neuron, and measure its performance in transmitting information in a range of biological frequencies. The work reveals that the deterministic Izhikevich model has a wide information transmission range and is generally better in transmitting information than its stochastic counterpart.en_UK
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.relationYang Z, Gandhi VS, Karamanoglu M & Graham B (2015) Characterising information correlation in a stochastic Izhikevich neuron. In: Proceedings of the International Joint Conference on Neural Networks 2015. 2015. 2015 International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, 12.07.2015-17.07.2015. New York: IEEE. https://doi.org/10.1109/IJCNN.2015.7280534en_UK
dc.relation.ispartofseries2015en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectIzhikevich neuronen_UK
dc.subjectInformation contenten_UK
dc.subjectMutual informationen_UK
dc.subjectProbabilityen_UK
dc.subjectCorrelationen_UK
dc.titleCharacterising information correlation in a stochastic Izhikevich neuronen_UK
dc.typeConference Paperen_UK
dc.rights.embargodate2999-10-01en_UK
dc.rights.embargoreason[Graham_IJCNN_2015.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1109/IJCNN.2015.7280534en_UK
dc.citation.issn2161-4393en_UK
dc.citation.publicationstatusPublisheden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderBiotechnology and Biological Sciences Research Councilen_UK
dc.author.emailbruce.graham@stir.ac.uken_UK
dc.citation.btitleProceedings of the International Joint Conference on Neural Networks 2015en_UK
dc.citation.conferencedates2015-07-12 - 2015-07-17en_UK
dc.citation.conferencelocationKillarney, Irelanden_UK
dc.citation.conferencename2015 International Joint Conference on Neural Networks (IJCNN)en_UK
dc.citation.date31/07/2015en_UK
dc.citation.isbn978-1-4799-1961-1en_UK
dc.citation.isbn978-147991960-4en_UK
dc.publisher.addressNew Yorken_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationMiddlesex Universityen_UK
dc.contributor.affiliationMiddlesex Universityen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isiWOS:000370730601105en_UK
dc.identifier.scopusid2-s2.0-84951022714en_UK
dc.identifier.wtid885532en_UK
dc.contributor.orcid0000-0002-3243-2532en_UK
dcterms.dateAccepted2015-07-31en_UK
dc.date.filedepositdate2018-04-16en_UK
dc.relation.funderprojectBalancing resource and energy usage for optimal performance in neural systemen_UK
dc.relation.funderrefBB/K01854X/1en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorYang, Zhijun|en_UK
local.rioxx.authorGandhi, Vaibhav S|en_UK
local.rioxx.authorKaramanoglu, Mehmet|en_UK
local.rioxx.authorGraham, Bruce|0000-0002-3243-2532en_UK
local.rioxx.projectBB/K01854X/1|Biotechnology and Biological Sciences Research Council|http://dx.doi.org/10.13039/501100000268en_UK
local.rioxx.freetoreaddate2999-10-01en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameGraham_IJCNN_2015.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source978-147991960-4en_UK
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