Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최창환 | - |
dc.date.accessioned | 2019-12-09T20:43:03Z | - |
dc.date.available | 2019-12-09T20:43:03Z | - |
dc.date.issued | 2018-11 | - |
dc.identifier.citation | NATURE COMMUNICATIONS, v. 9, Article no. 5106 | en_US |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | https://www.nature.com/articles/s41467-018-07572-5 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/120490 | - |
dc.description.abstract | The priority of synaptic device researches has been given to prove the device potential for the emulation of synaptic dynamics and not to functionalize further synaptic devices for more complex learning. Here, we demonstrate an optic-neural synaptic device by implementing synaptic and optical-sensing functions together on h-BN/WSe2 heterostructure. This device mimics the colored and color-mixed pattern recognition capabilities of the human vision system when arranged in an optic-neural network. Our synaptic device demonstrates a close to linear weight update trajectory while providing a large number of stable conduction states with less than 1% variation per state. The device operates with low voltage spikes of 0.3 V and consumes only 66 fJ per spike. This consequently facilitates the demonstration of accurate and energy efficient colored and color-mixed pattern recognition. The work will be an important step toward neural networks that comprise neural sensing and training functions for more complex pattern recognition. | en_US |
dc.description.sponsorship | This research was supported by the Basic Research Lab Program and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (2017R1A4A1015400, 2018R1A2A2A05020475), and the Nano.Material Technology Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (2016M3A7B4910426). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.title | Artificial optic-neural synapse for colored and color-mixed pattern recognition | en_US |
dc.type | Article | en_US |
dc.relation.volume | 9 | - |
dc.identifier.doi | 10.1038/s41467-018-07572-5 | - |
dc.relation.page | 5106-5113 | - |
dc.relation.journal | NATURE COMMUNICATIONS | - |
dc.contributor.googleauthor | Seo, Seunghwan | - |
dc.contributor.googleauthor | Jo, Seo-Hyeon | - |
dc.contributor.googleauthor | Kim, Sungho | - |
dc.contributor.googleauthor | Shim, Jaewoo | - |
dc.contributor.googleauthor | Oh, Seyong | - |
dc.contributor.googleauthor | Kim, Jeong-Hoon | - |
dc.contributor.googleauthor | Heo, Keun | - |
dc.contributor.googleauthor | Choi, Jae-Woong | - |
dc.contributor.googleauthor | Choi, Changhwan | - |
dc.contributor.googleauthor | Oh, Saeroonter | - |
dc.relation.code | 2018003595 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF MATERIALS SCIENCE AND ENGINEERING | - |
dc.identifier.pid | cchoi | - |
dc.identifier.orcid | http://orcid.org/0000-0002-8386-3885 | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.