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dc.citation.endPage 6702 -
dc.citation.number 12 -
dc.citation.startPage 6699 -
dc.citation.title IEEE TRANSACTIONS ON ELECTRON DEVICES -
dc.citation.volume 70 -
dc.contributor.author Kim, Hyun Wook -
dc.contributor.author Kang, Seung-Youl -
dc.contributor.author Moon, Jaehyun -
dc.contributor.author Kim, Nayeon -
dc.contributor.author Hong, Eunryeong -
dc.contributor.author Jeon, Seyeong -
dc.contributor.author Jeon, Seonuk -
dc.contributor.author Woo, Jiyong -
dc.date.accessioned 2023-12-21T11:42:13Z -
dc.date.available 2023-12-21T11:42:13Z -
dc.date.created 2023-11-16 -
dc.date.issued 2023-12 -
dc.description.abstract In this brief, we demonstrate experimentally achieved oscillation dynamics in coupled NbOx thresholds witch (TS)-based oscillation neurons (ONs). We first show the challenges in observing oscillation caused by devicevariability, which is further validated through HSPICE simulations. To obtain robust oscillation response, a reliable TS developed via atomic layer deposition for conformal NbOx is introduced. By developing coupled NbO(x )ONs using acoupling resistor (RC), the out-of-phase synchronizationis demonstrated owing to the weak connection. Moreover,we achieve a transition to in-phase synchronization as the coupling strength increases, showing an inverse relation-ship with the magnitude of R-C. Based on these results,oscillatory neural networks, where multiple NbO(x )ONs arefully connected, are examined to execute pattern recognition via MATALB simulations -
dc.identifier.bibliographicCitation IEEE TRANSACTIONS ON ELECTRON DEVICES, v.70, no.12, pp.6699 - 6702 -
dc.identifier.doi 10.1109/TED.2023.3321018 -
dc.identifier.issn 0018-9383 -
dc.identifier.scopusid 2-s2.0-85174841203 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/66204 -
dc.identifier.wosid 001085479400001 -
dc.language 영어 -
dc.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC -
dc.title Experimental Robust Spontaneous Synchronizations in Coupled NbOx Oscillation Neurons for Unconventional Computing -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic; Physics, Applied -
dc.relation.journalResearchArea Engineering; Physics -
dc.type.docType Article; Early Access -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Image processing -
dc.subject.keywordAuthor oscillatory neural network (ONN) -
dc.subject.keywordAuthor NbOx -
dc.subject.keywordAuthor threshold switching -
dc.subject.keywordPlus RECOGNITION -
dc.subject.keywordPlus MEMORY -

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