Oxygen-Detecting Synaptic Device for Realization of Artificial Autonomic Nervous System for Maintaining Oxygen Homeostasis

Chuan Qian, Yongsuk Choi, Young Jin Choi, Seongchan Kim, Yoon Young Choi, Dong Gue Roe, Moon Sung Kang, Jia Sun, Jeong Ho Cho

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number2002653
JournalAdvanced Materials
Volume32
Issue number34
DOIs
Publication statusPublished - 2020 Aug 1

Bibliographical note

Funding Information:
C.Q. and Y.C. contributed equally to this work. This work was supported by a grant from the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science, ICT & Future Planning (NRF-2020R1A2C2007819), the Creative Materials Discovery Program (NRF-2019M3D1A1078299) through the NRF of Korea funded by the Ministry of Science and ICT, and the Center for Advanced Soft Electronics (CASE) under the Global Frontier Research Program (2013M3A6A5073177), Korea. J.S. acknowledged the support by the National Natural Science Foundation of China (61975241).

Funding Information:
C.Q. and Y.C. contributed equally to this work. This work was supported by a grant from the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science, ICT & Future Planning (NRF‐2020R1A2C2007819), the Creative Materials Discovery Program (NRF‐2019M3D1A1078299) through the NRF of Korea funded by the Ministry of Science and ICT, and the Center for Advanced Soft Electronics (CASE) under the Global Frontier Research Program (2013M3A6A5073177), Korea. J.S. acknowledged the support by the National Natural Science Foundation of China (61975241).

Publisher Copyright:
© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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