Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4254
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dc.contributor.advisorSavaci, Ferit Acar-
dc.contributor.authorYücel, Ufuk-
dc.date.accessioned2014-12-08T09:28:03Z-
dc.date.available2014-12-08T09:28:03Z-
dc.date.issued2014-07-
dc.identifier.urihttp://hdl.handle.net/11147/4254-
dc.descriptionThesis (Master)--Izmir Institute of Technology, Electronics and Communication Engineering, Izmir, 2014en_US
dc.descriptionIncludes bibliographical references (leaves: 94-95)en_US
dc.descriptionText in English; Abstract: Turkish and Englishen_US
dc.descriptionFull text release delayed at author's request until 2017.09.18en_US
dc.description.abstractIn this thesis, the memory systems of the brain are researched and the relationship between these memory systems and memristor theory are studied. Firstly, the ideal memristor theory is studied. By using the cubic memristor that was based on the ideal memristor theory, the basic logical operations are explained. Additionally, the nerve cells and synapses, which are thought where the memory and learning take place, are inquired. Bearing in mind that the characteristic of the memristor and its similarities between the synapses has been researched with the previous studies on this field. Finally, memristor data storage system has been designed by using memristors, and a binary image of 12x60 pixels has been successfully stored on this design. Also, the edge detection for images has been presented by using the memristor cellular automaton and some examples have also been given.en_US
dc.language.isoenen_US
dc.publisherIzmir Institute of Technologyen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject.lcshMemristorsen_US
dc.subject.lcshMemoryen_US
dc.subject.lcshBrainen_US
dc.titleBrain dynamics and memory enhancement: Memristor based modelsen_US
dc.title.alternativeBeyin dinamiği ve bellek güçlendirilmesi: Memristor tabanlı modelleren_US
dc.typeMaster Thesisen_US
dc.institutionauthorYücel, Ufuk-
dc.departmentThesis (Master)--İzmir Institute of Technology, Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryTezen_US
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairetypeMaster Thesis-
Appears in Collections:Master Degree / Yüksek Lisans Tezleri
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