Presentation 2020-12-02
Brain type system using IGZO thin film synapses
Yuki Onishi, Yuki Shibayama, Daiki Yamakawa, Hiroya Ikeda, Yasuhiko Nakajima, Mutumi Kimura,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Neural networks have been actively studied as a future electronics technology. However, since the von Neumann-type arithmetic processing method cannot efficiently process a large amount of information, the neurocomputing method capable of parallel distributed processing is attracting attention. We are conducting research and development of neural networks using thin film devices. In this study, we created In-Ga-Zn-O (IGZO) thin film synapses for neural networks using LSI. We evaluated the synaptic properties of IGZO thin films and confirmed the basic operation of synaptic devices. We also succeeded in a character recognition experiment using the created device.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Neural network / IGZO thin film / Variable resistance element / Brain type integrated system / LSI / Neuron / Synapse
Paper # EID2020-7,SDM2020-41
Date of Issue 2020-11-25 (EID, SDM)

Conference Information
Committee EID / SDM / ITE-IDY
Conference Date 2020/12/2(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Rumiko Yamaguchi(Akita Univ.) / Hiroshige Hirano(TowerPartners Semiconductor)
Vice Chair Masahiro Yamaguchi(Tokyo Inst. of Tech.) / Tomoyuki Ishihara(Japan Display) / Shunichiro Ohmi(Tokyo Inst. of Tech.)
Secretary Masahiro Yamaguchi(NTT) / Tomoyuki Ishihara(NHK) / Shunichiro Ohmi(AIST) / (Nihon Univ.)
Assistant Mutsumi Kimura(Ryukoku Univ.) / Tomokazu Shiga(Univ. of Electro-Comm.) / Hiroko Kominami(Shizuoka Univ.) / Masanobu Mizusaki(SHARP) / Masayuki Kanbara(NAIST) / Taiji Noda(Panasonic) / Tomoyuki Suwa(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Electronic Information Displays / Technical Committee on Silicon Device and Materials / Technical Group on Information Display
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Brain type system using IGZO thin film synapses
Sub Title (in English)
Keyword(1) Neural network
Keyword(2) IGZO thin film
Keyword(3) Variable resistance element
Keyword(4) Brain type integrated system
Keyword(5) LSI
Keyword(6) Neuron
Keyword(7) Synapse
1st Author's Name Yuki Onishi
1st Author's Affiliation Ryukoku University(Ryukoku Univ.)
2nd Author's Name Yuki Shibayama
2nd Author's Affiliation Ryukoku University(Ryukoku Univ.)
3rd Author's Name Daiki Yamakawa
3rd Author's Affiliation Ryukoku University(Ryukoku Univ.)
4th Author's Name Hiroya Ikeda
4th Author's Affiliation Nara Institute of Science and Technology(NAIST)
5th Author's Name Yasuhiko Nakajima
5th Author's Affiliation Nara Institute of Science and Technology(NAIST)
6th Author's Name Mutumi Kimura
6th Author's Affiliation Ryukoku University/Nara Institute of Science and Technology(Ryukoku Univ./NAIST)
Date 2020-12-02
Paper # EID2020-7,SDM2020-41
Volume (vol) vol.120
Number (no) EID-272,SDM-273
Page pp.pp.25-28(EID), pp.25-28(SDM),
#Pages 4
Date of Issue 2020-11-25 (EID, SDM)