Yuki Shibayama, D. Yamakawa, M. Kimura, Y. Nakashima
{"title":"In-Ga-Zn-O Thin Film Synapse in Neural Network Using LSI","authors":"Yuki Shibayama, D. Yamakawa, M. Kimura, Y. Nakashima","doi":"10.1109/IMFEDK.2018.8581971","DOIUrl":null,"url":null,"abstract":"We fabricated In-Ga-Zn-O (IGZO) thin film synapses for neural networks using an LSI. The current flowing in the IGZO thin film degraded gradually. It shows a sufficient degradation in electrical characteristics, and it can be used for the modified Hebbian learning rule proposed by the authors.","PeriodicalId":434417,"journal":{"name":"2018 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Meeting for Future of Electron Devices, Kansai (IMFEDK)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMFEDK.2018.8581971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We fabricated In-Ga-Zn-O (IGZO) thin film synapses for neural networks using an LSI. The current flowing in the IGZO thin film degraded gradually. It shows a sufficient degradation in electrical characteristics, and it can be used for the modified Hebbian learning rule proposed by the authors.