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dc.contributor.authorWang, Frank Z.
dc.contributor.authorHelian, Na
dc.contributor.authorWu, Sining
dc.contributor.authorYang, Xiao
dc.contributor.authorGuo, Yike
dc.contributor.authorLim, Guan
dc.contributor.authorRashid, Md Mamunur
dc.date.accessioned2013-01-14T15:29:06Z
dc.date.available2013-01-14T15:29:06Z
dc.date.issued2012
dc.identifier.citationWang , F Z , Helian , N , Wu , S , Yang , X , Guo , Y , Lim , G & Rashid , M M 2012 , ' Delayed switching applied to memristor neural networks ' , Journal of Applied Physics , vol. 111 , no. 7 , 07E317 . https://doi.org/10.1063/1.3672409
dc.identifier.issn0021-8979
dc.identifier.otherPURE: 690134
dc.identifier.otherPURE UUID: 4b095654-b8ff-4e34-a0d7-7c09ff79606e
dc.identifier.otherScopus: 84861738154
dc.identifier.urihttp://hdl.handle.net/2299/9623
dc.description.abstractMagnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the “delayed switching effect.” In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neuronsen
dc.language.isoeng
dc.relation.ispartofJournal of Applied Physics
dc.titleDelayed switching applied to memristor neural networksen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2012
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1063/1.3672409
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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