Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications

Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimi...

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Published inAdvanced materials (Weinheim) Vol. 35; no. 37; p. e2205047
Main Authors Liu, Hefei, Qin, Yuan, Chen, Hung‐Yu, Wu, Jiangbin, Ma, Jiahui, Du, Zhonghao, Wang, Nan, Zou, Jingyi, Lin, Sen, Zhang, Xu, Zhang, Yuhao, Wang, Han
Format Journal Article
LanguageEnglish
Published Germany Wiley Subscription Services, Inc 01.09.2023
Subjects
Materials science
Neurons
Switching
spiking neural networks
sensory neurons
brain emulation
artificial neurons
neuromorphic computing
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Abstract Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.
AbstractList Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.
Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by application needs from new computing technology and more realistic brain emulation. Researchers have proposed a range of device concepts that can mimic neuronal dynamics and functions. Although the switching physics and device structures of these artificial neurons are largely different, their behaviors can be described by several neuron models in a more unified manner. In this paper, the reports of artificial neuronal devices based on emerging volatile switching materials are reviewed from the perspective of the demonstrated neuron models, with a focus on the neuronal functions implemented in these devices and the exploitation of these functions for computational and sensing applications. Furthermore, the neuroscience inspirations and engineering methods to enrich the neuronal dynamics that remain to be implemented in artificial neuronal devices and networks toward realizing the full functionalities of biological neurons are discussed.
Author Chen, Hung‐Yu
Qin, Yuan
Zhang, Yuhao
Wang, Nan
Wu, Jiangbin
Zhang, Xu
Liu, Hefei
Du, Zhonghao
Ma, Jiahui
Zou, Jingyi
Wang, Han
Lin, Sen
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  organization: Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles CA 90089 USA, Mork Family Department of Chemical Engineering and Materials Science University of Southern California Los Angeles CA 90089 USA
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36609920$$D View this record in MEDLINE/PubMed
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Issue 37
Keywords spiking neural networks
sensory neurons
brain emulation
artificial neurons
neuromorphic computing
Language English
License 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.
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Snippet Artificial neuronal devices are critical building blocks of neuromorphic computing systems and currently the subject of intense research motivated by...
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SubjectTerms Materials science
Neurons
Switching
Title Artificial Neuronal Devices Based on Emerging Materials: Neuronal Dynamics and Applications
URI https://www.ncbi.nlm.nih.gov/pubmed/36609920
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