Detailed Information

Cited 1 time in webofscience Cited 1 time in scopus
Metadata Downloads

SiN-based optoelectronic synaptic devices: enhancing future cognitive computing systems

Full metadata record
DC Field Value Language
dc.contributor.authorPark, Hyogeun-
dc.contributor.authorKim, Sungjun-
dc.date.accessioned2024-09-23T13:30:18Z-
dc.date.available2024-09-23T13:30:18Z-
dc.date.issued2024-10-
dc.identifier.issn2050-7526-
dc.identifier.issn2050-7534-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23269-
dc.description.abstractIn this study, an optoelectronic synaptic device based on an indium tin oxide/SiN/TaN structure was fabricated for bio-inspired computing. Under light exposure, the device exhibits excitatory postsynaptic current, which affords various synaptic functionalities. This device mimics the paired-pulse facilitation characteristics of short-term memory and the five essential functions of a human nociceptor: threshold, relaxation, no-adaptation, hyperalgesia, and allodynia. Additionally, it demonstrates heterosynaptic associative long-term potentiation between two inputs and emulates associative learning behavior based on Pavlov's conditioning experiment. These results demonstrate the potential of SiN-based devices as optoelectronic synapses for cognitive learning. The optoelectronic synaptic device based on an indium tin oxide/SiN/TaN structure integrated both synaptic and nociceptor functionalities, with Pavlovian conditioning examined.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherRoyal Society of Chemistry-
dc.titleSiN-based optoelectronic synaptic devices: enhancing future cognitive computing systems-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1039/d4tc02992e-
dc.identifier.scopusid2-s2.0-85204224337-
dc.identifier.wosid001313065000001-
dc.identifier.bibliographicCitationJournal of Materials Chemistry C, v.12, no.40, pp 16551 - 16559-
dc.citation.titleJournal of Materials Chemistry C-
dc.citation.volume12-
dc.citation.number40-
dc.citation.startPage16551-
dc.citation.endPage16559-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.subject.keywordPlusSILICON-NITRIDE-
dc.subject.keywordPlusPAIN-
dc.subject.keywordPlusMECHANISMS-
dc.subject.keywordPlusHYDROGEN-
dc.subject.keywordAuthorAssociative Processing-
dc.subject.keywordAuthorAssociative Storage-
dc.subject.keywordAuthor'current-
dc.subject.keywordAuthorAssociative Learning-
dc.subject.keywordAuthorBio-inspired Computing-
dc.subject.keywordAuthorCognitive Computing Systems-
dc.subject.keywordAuthorHyperalgesia-
dc.subject.keywordAuthorLearning Behavior-
dc.subject.keywordAuthorLight Exposure-
dc.subject.keywordAuthorLong-term Potentiations-
dc.subject.keywordAuthorNociceptor-
dc.subject.keywordAuthorShort Term Memory-
dc.subject.keywordAuthorOptoelectronic Devices-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Electronics and Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sung Jun photo

Kim, Sung Jun
College of Engineering (Department of Electronics and Electrical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE