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dc.contributor.authorCassidy, A. S.en
dc.contributor.authorGeorgiou, J.en
dc.contributor.authorAndreou, A. G.en
dc.creatorCassidy, A. S.en
dc.creatorGeorgiou, J.en
dc.creatorAndreou, A. G.en
dc.date.accessioned2019-04-08T07:45:00Z
dc.date.available2019-04-08T07:45:00Z
dc.date.issued2013
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/42962
dc.sourceNeural Networksen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880823556&doi=10.1016%2fj.neunet.2013.05.011&partnerID=40&md5=6468de78ab7c2dbc1b460c956d85170f
dc.titleDesign of silicon brains in the nano-CMOS era: Spiking neurons, learning synapses and neural architecture optimizationen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.neunet.2013.05.011
dc.description.volume45
dc.description.issueJournal Articleen
dc.description.startingpage4
dc.description.endingpage26
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeArticleen
dc.source.abbreviationNeural Netw.en
dc.contributor.orcidGeorgiou, J. [0000-0002-7474-5449]
dc.gnosis.orcid0000-0002-7474-5449


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