Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이화성 | - |
dc.date.accessioned | 2024-04-03T05:14:16Z | - |
dc.date.available | 2024-04-03T05:14:16Z | - |
dc.date.issued | 2023-10-09 | - |
dc.identifier.citation | ADVANCED SCIENCE | en_US |
dc.identifier.issn | 2198-3844 | en_US |
dc.identifier.uri | https://information.hanyang.ac.kr/#/eds/detail?an=edskis.4078373&dbId=edskis | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/189554 | - |
dc.description.abstract | Neuromorphic engineering has emerged as a promising research field that can enable efficient and sophisticated signal transmission by mimicking the biological nervous system. This paper presents an artificial nervous system capable of facile self-regulation via multiplexed complementary signals. Based on the tunable nature of the Schottky barrier of a complementary signal integration circuit, a pair of complementary signals is successfully integrated to realize efficient signal transmission. As a proof of concept, a feedback-based blood glucose level control system is constructed by incorporating a glucose/insulin sensor, a complementary signal integration circuit, an artificial synapse, and an artificial neuron circuit. Certain amounts of glucose and insulin in the initial state are detected by each sensor and reflected as positive and negative amplitudes of the multiplexed presynaptic pulses, respectively. Subsequently, the pulses are converted to postsynaptic current, which triggered the injection of glucose or insulin in a way that confined the glucose level to a desirable range. The proposed artificial nervous system demonstrates the notable potential of practical advances in complementary control engineering. | en_US |
dc.description.sponsorship | Y.J.C. and D.G.R. contributed equally this work. This research was sup-ported by Creative Materials Discovery Program through the National Re-search Foundation of Korea (NRF) funded by Ministry of Science and ICT(NRF-2019M3D1A1078299) and National R&D Program through the NRFfunded by Ministry of Science and ICT (2021M3D1A2049315). | en_US |
dc.language | en_US | en_US |
dc.publisher | WILEY | en_US |
dc.relation.ispartofseries | v. 10, NO 3;2205155-2205163 | - |
dc.subject | artificial nervous system | en_US |
dc.subject | healthcare | en_US |
dc.subject | multi-level regulation | en_US |
dc.subject | Schottky barrier transistor | en_US |
dc.subject | signal multiplexing | en_US |
dc.title | Multiplexed Complementary Signal Transmission for a Self-Regulating Artificial Nervous System | en_US |
dc.type | Article | en_US |
dc.relation.no | 3 | - |
dc.relation.volume | 10 | - |
dc.identifier.doi | https://doi.org/10.1002/advs.202205155 | en_US |
dc.relation.page | 2205155-2205163 | - |
dc.relation.journal | ADVANCED SCIENCE | - |
dc.contributor.googleauthor | Choi, Young Jin | - |
dc.contributor.googleauthor | Roe, Dong Gue | - |
dc.contributor.googleauthor | Choi, Yoon Young | - |
dc.contributor.googleauthor | Kim, Seongchan | - |
dc.contributor.googleauthor | Jo, Sae Byeok | - |
dc.contributor.googleauthor | Lee, Hwa Sung | - |
dc.contributor.googleauthor | Kim, Do Hwan | - |
dc.contributor.googleauthor | Cho, Jeong Ho | - |
dc.relation.code | 2023036065 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF MATERIALS SCIENCE AND CHEMICAL ENGINEERING | - |
dc.identifier.pid | hslee78 | - |
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