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dc.contributor.authorGülbahar, Burhan
dc.date.accessioned2020-08-31T11:35:32Z
dc.date.available2020-08-31T11:35:32Z
dc.date.issued2019
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://hdl.handle.net/10679/6870
dc.identifier.urihttps://ieeexplore.ieee.org/document/8626110
dc.description.abstractEnergy consumption combined with scalability and 3D architecture is a fundamental constraint for brain-inspired computing. Neuromorphic architectures including memristive, spintronic, and floating gate metal-oxide-semiconductors achieve energy efficiency while having challenges of 3D design and integration, wiring and energy consumption problems for architectures with massive numbers of neurons and synapses. There are bottlenecks due to the integration of communication, memory, and computation tasks while keeping ultra-low energy consumption. In this paper, wireless power transmission (WPT)-based neuromorphic design and theoretical modeling are proposed to solve bottlenecks and challenges. Neuron functionalities with nonlinear activation functions and spiking, synaptic channels, and plasticity rules are designed with magneto-inductive WPT systems. Tasks of communication, computation, memory, and WPT are combined as an all-in-one solution. Numerical analysis is provided for microscale graphene coils in sub-terahertz frequencies with unique neuron design of coils on 2D circular and 3D Goldberg polyhedron substrates as a proof-of-concept satisfying nonlinear activation mechanisms and synaptic weight adaptation. Layered neuromorphic WPT network is utilized to theoretically model and numerically simulate pattern recognition solutions as a simple application of the proposed system design. Finally, open issues and challenges for realizing WPT-based neuromorphic system design are presented including experimental implementations.en_US
dc.description.sponsorshipVestel Electronics Inc., Manisa, Turkey
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Access
dc.rightsopenAccess
dc.title3D neuromorphic wireless power transfer and energy transmission based synaptic plasticityen_US
dc.typeArticleen_US
dc.description.versionPublisher versionen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0003-3756-3280 & YÖK ID 234525) Gülbahar, Burhan
dc.contributor.ozuauthorGülbahar, Burhan
dc.identifier.volume7en_US
dc.identifier.startpage16594en_US
dc.identifier.endpage16615en_US
dc.identifier.wosWOS:000459281200001
dc.identifier.doi10.1109/ACCESS.2019.2895210en_US
dc.subject.keywordsNeuromorphicen_US
dc.subject.keywordsBrain-inspireden_US
dc.subject.keywordsWireless power transferen_US
dc.subject.keywordsNeuronen_US
dc.subject.keywordsSynaptic channelen_US
dc.subject.keywordsMagnetic inductionen_US
dc.subject.keywordsPolyhedronen_US
dc.subject.keywordsPattern recognitionen_US
dc.identifier.scopusSCOPUS:2-s2.0-85061717290
dc.contributor.authorMale1
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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