Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior

H. Lei; Y. X. Cao; C. Zhao

doi:10.1109/ICICDT59917.2023.10332407

Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior

H. Lei, Y. X. Cao, C. Zhao^*

^*Corresponding author for this work

Department of Electrical and Electronic Engineering

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Here, an artificial sensory neuron consisting of a TENG-based receptor and a TFT artificial synapse has been proposed. The presynaptic spikes are generated by the triboelectric potential to significantly reduce the power consumption of the artificial synapse. The mechanism of triboelectric potential regulating the channel current of the artificial synapse has been studied. In addition, the artificial sensory neuron exhibits neural sensing behavior of EPSC enhancement under continuous pressure stimuli. On this basis, This device could be utilized on robots to monitor pressure variations thereby enabling robots to respond to external stimuli.

Original language	English
Title of host publication	Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023
Editors	Duy-Hieu Bui
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	136-140
Number of pages	5
ISBN (Electronic)	9798350319316
DOIs	https://doi.org/10.1109/ICICDT59917.2023.10332407
Publication status	Published - 2023
Event	2023 International Conference on IC Design and Technology, ICICDT 2023 - Tokyo, Japan Duration: 25 Sept 2023 → 27 Sept 2023

Publication series

Name	Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023

Conference

Conference	2023 International Conference on IC Design and Technology, ICICDT 2023
Country/Territory	Japan
City	Tokyo
Period	25/09/23 → 27/09/23

Keywords

artificial sensory neuron
artificial synapse
thin-film transistor
triboelectric nanogenerator

Access to Document

10.1109/ICICDT59917.2023.10332407

Cite this

Lei, H., Cao, Y. X., & Zhao, C. (2023). Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior. In D.-H. Bui (Ed.), Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023 (pp. 136-140). (Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICDT59917.2023.10332407

Lei, H. ; Cao, Y. X. ; Zhao, C. / Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior. Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023. editor / Duy-Hieu Bui. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 136-140 (Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023).

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title = "Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior",

abstract = "Here, an artificial sensory neuron consisting of a TENG-based receptor and a TFT artificial synapse has been proposed. The presynaptic spikes are generated by the triboelectric potential to significantly reduce the power consumption of the artificial synapse. The mechanism of triboelectric potential regulating the channel current of the artificial synapse has been studied. In addition, the artificial sensory neuron exhibits neural sensing behavior of EPSC enhancement under continuous pressure stimuli. On this basis, This device could be utilized on robots to monitor pressure variations thereby enabling robots to respond to external stimuli.",

keywords = "artificial sensory neuron, artificial synapse, thin-film transistor, triboelectric nanogenerator",

author = "H. Lei and Cao, {Y. X.} and C. Zhao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on IC Design and Technology, ICICDT 2023 ; Conference date: 25-09-2023 Through 27-09-2023",

year = "2023",

doi = "10.1109/ICICDT59917.2023.10332407",

language = "English",

series = "Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023",

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Lei, H, Cao, YX & Zhao, C 2023, Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior. in D-H Bui (ed.), Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023. Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 136-140, 2023 International Conference on IC Design and Technology, ICICDT 2023, Tokyo, Japan, 25/09/23. https://doi.org/10.1109/ICICDT59917.2023.10332407

Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior. / Lei, H.; Cao, Y. X.; Zhao, C.
Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023. ed. / Duy-Hieu Bui. Institute of Electrical and Electronics Engineers Inc., 2023. p. 136-140 (Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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N2 - Here, an artificial sensory neuron consisting of a TENG-based receptor and a TFT artificial synapse has been proposed. The presynaptic spikes are generated by the triboelectric potential to significantly reduce the power consumption of the artificial synapse. The mechanism of triboelectric potential regulating the channel current of the artificial synapse has been studied. In addition, the artificial sensory neuron exhibits neural sensing behavior of EPSC enhancement under continuous pressure stimuli. On this basis, This device could be utilized on robots to monitor pressure variations thereby enabling robots to respond to external stimuli.

AB - Here, an artificial sensory neuron consisting of a TENG-based receptor and a TFT artificial synapse has been proposed. The presynaptic spikes are generated by the triboelectric potential to significantly reduce the power consumption of the artificial synapse. The mechanism of triboelectric potential regulating the channel current of the artificial synapse has been studied. In addition, the artificial sensory neuron exhibits neural sensing behavior of EPSC enhancement under continuous pressure stimuli. On this basis, This device could be utilized on robots to monitor pressure variations thereby enabling robots to respond to external stimuli.

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Lei H, Cao YX, Zhao C. Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior. In Bui DH, editor, Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 136-140. (Proceedings of the 2023 International Conference on IC Design and Technology, ICICDT 2023). doi: 10.1109/ICICDT59917.2023.10332407

Thin-film Transistor-based Tribotronic Artificial Synapse with Neurosensory Behavior

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