Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system

Designing efficient bio-inspired visual recognition system remains a challenge. Here the authors present a curved neuromorphic image sensor array based on a heterostructure of MoS2 and pV3D3 integrated with a plano-convex lens for efficient image acquisition and data pre-processing.

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Autores principales:	Changsoon Choi, Juyoung Leem, Min Sung Kim, Amir Taqieddin, Chullhee Cho, Kyoung Won Cho, Gil Ju Lee, Hyojin Seung, Hyung Jong Bae, Young Min Song, Taeghwan Hyeon, Narayana R. Aluru, SungWoo Nam, Dae-Hyeong Kim
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d2fb9a07d7fd494799f2ca1b72727847
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spelling	oai:doaj.org-article:d2fb9a07d7fd494799f2ca1b727278472021-12-02T10:47:59ZCurved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system10.1038/s41467-020-19806-62041-1723https://doaj.org/article/d2fb9a07d7fd494799f2ca1b727278472020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19806-6https://doaj.org/toc/2041-1723Designing efficient bio-inspired visual recognition system remains a challenge. Here the authors present a curved neuromorphic image sensor array based on a heterostructure of MoS2 and pV3D3 integrated with a plano-convex lens for efficient image acquisition and data pre-processing.Changsoon ChoiJuyoung LeemMin Sung KimAmir TaqieddinChullhee ChoKyoung Won ChoGil Ju LeeHyojin SeungHyung Jong BaeYoung Min SongTaeghwan HyeonNarayana R. AluruSungWoo NamDae-Hyeong KimNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Changsoon Choi Juyoung Leem Min Sung Kim Amir Taqieddin Chullhee Cho Kyoung Won Cho Gil Ju Lee Hyojin Seung Hyung Jong Bae Young Min Song Taeghwan Hyeon Narayana R. Aluru SungWoo Nam Dae-Hyeong Kim Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
description	Designing efficient bio-inspired visual recognition system remains a challenge. Here the authors present a curved neuromorphic image sensor array based on a heterostructure of MoS2 and pV3D3 integrated with a plano-convex lens for efficient image acquisition and data pre-processing.
format	article
author	Changsoon Choi Juyoung Leem Min Sung Kim Amir Taqieddin Chullhee Cho Kyoung Won Cho Gil Ju Lee Hyojin Seung Hyung Jong Bae Young Min Song Taeghwan Hyeon Narayana R. Aluru SungWoo Nam Dae-Hyeong Kim
author_facet	Changsoon Choi Juyoung Leem Min Sung Kim Amir Taqieddin Chullhee Cho Kyoung Won Cho Gil Ju Lee Hyojin Seung Hyung Jong Bae Young Min Song Taeghwan Hyeon Narayana R. Aluru SungWoo Nam Dae-Hyeong Kim
author_sort	Changsoon Choi
title	Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
title_short	Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
title_full	Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
title_fullStr	Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
title_full_unstemmed	Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system
title_sort	curved neuromorphic image sensor array using a mos2-organic heterostructure inspired by the human visual recognition system
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/d2fb9a07d7fd494799f2ca1b72727847
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Curved neuromorphic image sensor array using a MoS2-organic heterostructure inspired by the human visual recognition system

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