A Vertical Silicon Nanowire Based Single Transistor Neuron with Excitatory, Inhibitory, and Myelination Functions for Highly Scalable Neuromorphic Hardware

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dc.contributor.authorHan, Joon-Kyuko
dc.contributor.authorOh, Jungyeopko
dc.contributor.authorYu, Ji-Manko
dc.contributor.authorChoi, Sung-Yoolko
dc.contributor.authorChoi, Yang-Kyuko
dc.date.accessioned2021-12-16T06:40:23Z-
dc.date.available2021-12-16T06:40:23Z-
dc.date.created2021-09-06-
dc.date.issued2021-12-
dc.identifier.citationSMALL, v.17, no.49-
dc.identifier.issn1613-6810-
dc.identifier.urihttp://hdl.handle.net/10203/290706-
dc.description.abstractA single transistor neuron (1T-neuron) is demonstrated by using a vertically protruded nanowire from an 8 in. silicon (Si) wafer. The 1T-neuron adopts a gate-all-around structure to completely surround the Si nanowire (Si-NW) to make a floating body and allow aggressive downscaling. The Si-NW is composed of an n(+) drain at the top, n(+) source at the bottom, and p-type floating body at the middle, which are self-aligned vertically. Thus, it occupies a small footprint area. The gate controls an excitatory/inhibitory function. In addition, myelination of a biological neuron that changes membrane capacitance is mimicked by an inherently asymmetric source/drain structure. Two spiking frequencies at the same input current are controlled by whether the neuron is myelinated or unmyelinated. Using the vertical 1T-neuron, pattern recognition is demonstrated with both measurements and semiempirical circuit simulations. Furthermore, handwritten numbers in the MNIST database are recognized with accuracy of 93% by software-based simulations. Applicability of the vertical 1T-neuron to various neural networks is verified, including a single-layer perceptron, multilayer perceptron, and spiking neural network.-
dc.languageEnglish-
dc.publisherWILEY-V C H VERLAG GMBH-
dc.titleA Vertical Silicon Nanowire Based Single Transistor Neuron with Excitatory, Inhibitory, and Myelination Functions for Highly Scalable Neuromorphic Hardware-
dc.typeArticle-
dc.identifier.wosid000703013100001-
dc.identifier.scopusid2-s2.0-85116084573-
dc.type.rimsART-
dc.citation.volume17-
dc.citation.issue49-
dc.citation.publicationnameSMALL-
dc.identifier.doi10.1002/smll.202103775-
dc.contributor.localauthorChoi, Sung-Yool-
dc.contributor.localauthorChoi, Yang-Kyu-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthor1T-neuron-
dc.subject.keywordAuthorexcitatory-
dc.subject.keywordAuthorinhibitory-
dc.subject.keywordAuthormyelination-
dc.subject.keywordAuthorneuromorphic-
dc.subject.keywordAuthorvertical structure-
dc.subject.keywordPlusARTIFICIAL NEURON-
dc.subject.keywordPlusSPIKING-
dc.subject.keywordPlusNETWORK-
dc.subject.keywordPlusCIRCUIT-
dc.subject.keywordPlusMODEL-
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