Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System
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 sig...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202205155 |
| _version_ | 1797943366408732672 |
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| author | Young Jin Choi Dong Gue Roe Yoon Young Choi Seongchan Kim Sae Byeok Jo Hwa Sung Lee Do Hwan Kim Jeong Ho Cho |
| author_facet | Young Jin Choi Dong Gue Roe Yoon Young Choi Seongchan Kim Sae Byeok Jo Hwa Sung Lee Do Hwan Kim Jeong Ho Cho |
| author_sort | Young Jin Choi |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T20:23:02Z |
| format | Article |
| id | doaj.art-5365544424984dd8a0d3ac239fcfbe3c |
| institution | Directory Open Access Journal |
| issn | 2198-3844 |
| language | English |
| last_indexed | 2024-04-10T20:23:02Z |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj.art-5365544424984dd8a0d3ac239fcfbe3c2023-01-25T13:47:49ZengWileyAdvanced Science2198-38442023-01-01103n/an/a10.1002/advs.202205155Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous SystemYoung Jin Choi0Dong Gue Roe1Yoon Young Choi2Seongchan Kim3Sae Byeok Jo4Hwa Sung Lee5Do Hwan Kim6Jeong Ho Cho7Department of Chemical and Biomolecular Engineering Yonsei University Seoul 03722 Republic of KoreaSchool of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of KoreaDepartment of Mechanical Science and Engineering University of Illinois at Urbana−Champaign Urbana IL 61801 USASKKU Advanced Institute of Nanotechnology (SAINT) Sungkyunkwan University Suwon 16419 Republic of KoreaSchool of Chemical EngineeringSKKU Institute of Energy Science and Technology (SIEST) Sungkyunkwan University (SKKU) Suwon 16419 Republic of KoreaDepartment of Materials Science and Chemical Engineering Hanyang University Ansan 15588 Republic of KoreaDepartment of Chemical Engineering Hanyang University Seoul 04763 Republic of KoreaDepartment of Chemical and Biomolecular Engineering Yonsei University Seoul 03722 Republic of KoreaAbstract 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.https://doi.org/10.1002/advs.202205155artificial nervous systemhealthcaremulti‐level regulationSchottky barrier transistorsignal multiplexing |
| spellingShingle | Young Jin Choi Dong Gue Roe Yoon Young Choi Seongchan Kim Sae Byeok Jo Hwa Sung Lee Do Hwan Kim Jeong Ho Cho Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System Advanced Science artificial nervous system healthcare multi‐level regulation Schottky barrier transistor signal multiplexing |
| title | Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System |
| title_full | Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System |
| title_fullStr | Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System |
| title_full_unstemmed | Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System |
| title_short | Multiplexed Complementary Signal Transmission for a Self‐Regulating Artificial Nervous System |
| title_sort | multiplexed complementary signal transmission for a self regulating artificial nervous system |
| topic | artificial nervous system healthcare multi‐level regulation Schottky barrier transistor signal multiplexing |
| url | https://doi.org/10.1002/advs.202205155 |
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