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dc.contributor.authorAbdelmotaleb, Ahmed
dc.contributor.authorSchilstra, M.
dc.contributor.authorDavey, N.
dc.contributor.authorSteuber, Volker
dc.contributor.authorWrobel, Borys
dc.date.accessioned2013-11-25T10:59:52Z
dc.date.available2013-11-25T10:59:52Z
dc.date.issued2013
dc.identifier.citationAbdelmotaleb , A , Schilstra , M , Davey , N , Steuber , V & Wrobel , B 2013 , ' From evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognition ' , BMC Neuroscience , vol. 14 , no. Supp 1 , P423 . https://doi.org/10.1186/1471-2202-14-S1-P423
dc.identifier.issn1471-2202
dc.identifier.otherPURE: 2836926
dc.identifier.otherPURE UUID: 1bc02b30-2b64-4985-88eb-00ccb54f6698
dc.identifier.urihttp://hdl.handle.net/2299/12167
dc.description© 2013 Abdelmotaleb et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
dc.description.abstractPoster presented at CNS 2013en
dc.format.extent1
dc.language.isoeng
dc.relation.ispartofBMC Neuroscience
dc.titleFrom evolving artificial gene regulatory networks to evolving spiking neural networks for pattern recognitionen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusNon peer reviewed
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1186/1471-2202-14-S1-P423
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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