Bio-realistic synaptic characteristics in the cone-shaped ZnO memristive device
DC Field | Value | Language |
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dc.contributor.author | Sokolov, Andrey Sergeevich | - |
dc.contributor.author | Jeon, Yu-Rim | - |
dc.contributor.author | Kim, Sohyeon | - |
dc.contributor.author | Ku, Boncheol | - |
dc.contributor.author | Choi, Changhwan | - |
dc.date.accessioned | 2021-08-02T12:28:43Z | - |
dc.date.available | 2021-08-02T12:28:43Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2019-01 | - |
dc.identifier.issn | 1884-4049 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15155 | - |
dc.description.abstract | We demonstrate inherent biorealistic synaptic plasticity functions in the Pt/n-ZnO/SiO2-x/Pt heterostructures, where the n-ZnO semiconductor is geometrically cone-shaped in the size of a few nanometers. The synaptic functions were achieved within a two-terminal, electroforming-free, and low-power rectifying diode-like resistive switching device. The important rate-dependent synaptic functions, such as the nonlinear transient conduction behavior, short-and long-term plasticity, paired-pulse facilitation, spike-rate-dependent plasticity and sliding threshold effect, were investigated in a single device. These characteristics closely mimic the memory and learning functions of those in biosynapses, where frequency-dependent identical spiking operations are mostly taking place, and we emulate these characteristics in the "Learning-Forgetting-Relearning" synaptic behavior. The switching dynamics in the cone-shaped n-ZnO semiconductor are correlated with the transport mechanism along the grain boundaries of the charged ion species, namely, oxygen vacancies and charged oxygen. The diffusion and generation/recombination of these defects have specific time scales of self-decay by virtue of the asymmetric profile of the n-ZnO cone defects. Finally, the essential biorealistic synaptic plasticity functions were discovered for the perspectives of dynamic/adaptive electronic synapse implementations in hardware-based neuromorphic computing. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | NATURE PUBLISHING GROUP | - |
dc.title | Bio-realistic synaptic characteristics in the cone-shaped ZnO memristive device | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Choi, Changhwan | - |
dc.identifier.doi | 10.1038/s41427-018-0105-7 | - |
dc.identifier.scopusid | 2-s2.0-85060515135 | - |
dc.identifier.wosid | 000457015500005 | - |
dc.identifier.bibliographicCitation | NPG ASIA MATERIALS, v.11, pp.1 - 15 | - |
dc.relation.isPartOf | NPG ASIA MATERIALS | - |
dc.citation.title | NPG ASIA MATERIALS | - |
dc.citation.volume | 11 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 15 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordPlus | LONG-TERM POTENTIATION | - |
dc.subject.keywordPlus | PLASTICITY | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | CIRCUITS | - |
dc.subject.keywordPlus | MEMORY | - |
dc.identifier.url | https://www.nature.com/articles/s41427-018-0105-7 | - |
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