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Qian C, Choi Y, Choi YJ, Kim S, Choi YY, Roe DG, Kang MS, Sun J, Cho JH. Oxygen-Detecting Synaptic Device for Realization of Artificial Autonomic Nervous System for Maintaining Oxygen Homeostasis. Adv Mater 2020; 32:e2002653. [PMID: 32643197 DOI: 10.1002/adma.202002653] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 06/09/2020] [Indexed: 06/11/2023]
Abstract
Incorporation of various functions of a biological nervous system into electronic devices is an intriguing challenge in the realization of a human-like recognition and response system. Emerging artificial synaptic devices capable of processing electronic signals through neuromorphic functions operate such biomimetic systems similarly to biological nervous systems. Here, an oxygen-sensitive artificial synaptic device that simultaneously detects oxygen concentration and generates a synaptic signal is demonstrated. The device successfully achieves an interconversion between the excitatory and inhibitory modes of the synaptic current at various oxygen concentrations by virtue of an oxygen-sensitive trilayered organic double heterojunction. The oxygen-induced traps in the organic layer modulate the majority charge carrier from holes to electrons, and this modulation induces an interconversion between the excitatory and inhibitory modes according to the environmental oxygen condition. Finally, the proposed synaptic device is applied to the realization of a negative feedback system for regulation of oxygen homeostasis, which mimics the human autonomic nervous system. The oxygen-sensitive synaptic device proposed in this study is expected to open up new possibilities for the development of a biomimetic neural system that can respond appropriately to various environmental changes.
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Affiliation(s)
- Chuan Qian
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 120-749, Republic of Korea
| | - Yongsuk Choi
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 120-749, Republic of Korea
| | - Young Jin Choi
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Seongchan Kim
- SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yoon Young Choi
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 120-749, Republic of Korea
| | - Dong Gue Roe
- Department of Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea
| | - Moon Sung Kang
- Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, 04107, Republic of Korea
| | - Jia Sun
- Hunan Key Laboratory for Super Microstructure and Ultrafast Process, School of Physics and Electronics, Central South University, Changsha, Hunan, 410083, P. R. China
| | - Jeong Ho Cho
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul, 120-749, Republic of Korea
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