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Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks

The traditional von Neumann architecture is gradually failing to meet the urgent need for highly parallel computing, high-efficiency, and ultra-low power consumption for the current explosion of data. Brain-inspired neuromorphic computing can break the inherent limitations of traditional computers....

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Autores principales: Zhang, Yi, Huang, Zhuohui, Jiang, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054230/
https://www.ncbi.nlm.nih.gov/pubmed/37007672
http://dx.doi.org/10.1080/14686996.2023.2186689
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author Zhang, Yi
Huang, Zhuohui
Jiang, Jie
author_facet Zhang, Yi
Huang, Zhuohui
Jiang, Jie
author_sort Zhang, Yi
collection PubMed
description The traditional von Neumann architecture is gradually failing to meet the urgent need for highly parallel computing, high-efficiency, and ultra-low power consumption for the current explosion of data. Brain-inspired neuromorphic computing can break the inherent limitations of traditional computers. Neuromorphic devices are the key hardware units of neuromorphic chips to implement the intelligent computing. In recent years, the development of optogenetics and photosensitive materials has provided new avenues for the research of neuromorphic devices. The emerging optoelectronic neuromorphic devices have received a lot of attentions because they have shown great potential in the field of visual bionics. In this paper, we summarize the latest visual bionic applications of optoelectronic synaptic memristors and transistors based on different photosensitive materials. The basic principle of bio-vision formation is first introduced. Then the device structures and operating mechanisms of optoelectronic memristors and transistors are discussed. Most importantly, the recent progresses of optoelectronic synaptic devices based on various photosensitive materials in the fields of visual perception are described. Finally, the problems and challenges of optoelectronic neuromorphic devices are summarized, and the future development of visual bionics is also proposed.
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spelling pubmed-100542302023-03-30 Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks Zhang, Yi Huang, Zhuohui Jiang, Jie Sci Technol Adv Mater Focus on Materials and Technologies for Memristors and Neuromorphic Devices The traditional von Neumann architecture is gradually failing to meet the urgent need for highly parallel computing, high-efficiency, and ultra-low power consumption for the current explosion of data. Brain-inspired neuromorphic computing can break the inherent limitations of traditional computers. Neuromorphic devices are the key hardware units of neuromorphic chips to implement the intelligent computing. In recent years, the development of optogenetics and photosensitive materials has provided new avenues for the research of neuromorphic devices. The emerging optoelectronic neuromorphic devices have received a lot of attentions because they have shown great potential in the field of visual bionics. In this paper, we summarize the latest visual bionic applications of optoelectronic synaptic memristors and transistors based on different photosensitive materials. The basic principle of bio-vision formation is first introduced. Then the device structures and operating mechanisms of optoelectronic memristors and transistors are discussed. Most importantly, the recent progresses of optoelectronic synaptic devices based on various photosensitive materials in the fields of visual perception are described. Finally, the problems and challenges of optoelectronic neuromorphic devices are summarized, and the future development of visual bionics is also proposed. Taylor & Francis 2023-03-28 /pmc/articles/PMC10054230/ /pubmed/37007672 http://dx.doi.org/10.1080/14686996.2023.2186689 Text en © 2023 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Focus on Materials and Technologies for Memristors and Neuromorphic Devices
Zhang, Yi
Huang, Zhuohui
Jiang, Jie
Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title_full Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title_fullStr Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title_full_unstemmed Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title_short Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
title_sort emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks
topic Focus on Materials and Technologies for Memristors and Neuromorphic Devices
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054230/
https://www.ncbi.nlm.nih.gov/pubmed/37007672
http://dx.doi.org/10.1080/14686996.2023.2186689
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