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Evolving small spiking neural networks to work as state machines for temporal pattern recognition

dc.contributor.authorWrobel, Borys
dc.contributor.authorAbdelmotaleb, Ahmed
dc.contributor.authorDavey, N.
dc.contributor.authorSteuber, Volker
dc.date.accessioned2018-09-12T00:09:57Z
dc.date.available2018-09-12T00:09:57Z
dc.date.issued2015-12-18
dc.identifier.citationWrobel , B , Abdelmotaleb , A , Davey , N & Steuber , V 2015 , ' Evolving small spiking neural networks to work as state machines for temporal pattern recognition ' , BMC Neuroscience , vol. 16 . https://doi.org/10.1186/1471-2202-16-S1-P238
dc.identifier.issn1471-2202
dc.identifier.urihttp://hdl.handle.net/2299/20547
dc.format.extent169026
dc.language.isoeng
dc.relation.ispartofBMC Neuroscience
dc.titleEvolving small spiking neural networks to work as state machines for temporal pattern recognitionen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionBiocomputation Research Group
dc.description.statusPeer reviewed
rioxxterms.versionofrecord10.1186/1471-2202-16-S1-P238
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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