Birdlike broadband neuromorphic visual sensor arrays for fusion imaging

Pengshan Xie, Yunchao Xu, Jingwen Wang, Dengji Li, Yuxuan Zhang, Zixin Zeng, Boxiang Gao, Quan Quan, Bowen Li, You Meng, Weijun Wang, Yezhan Li, Yan Yan, Yi Shen, Jia Sun () and Johnny C. Ho ()
Additional contact information
Pengshan Xie: City University of Hong Kong
Yunchao Xu: Central South University
Jingwen Wang: Central South University
Dengji Li: City University of Hong Kong
Yuxuan Zhang: City University of Hong Kong
Zixin Zeng: City University of Hong Kong
Boxiang Gao: City University of Hong Kong
Quan Quan: City University of Hong Kong
Bowen Li: City University of Hong Kong
You Meng: City University of Hong Kong
Weijun Wang: City University of Hong Kong
Yezhan Li: City University of Hong Kong
Yan Yan: City University of Hong Kong
Yi Shen: City University of Hong Kong
Jia Sun: Central South University
Johnny C. Ho: City University of Hong Kong

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Wearable visual bionic devices, fueled by advancements in artificial intelligence, are making remarkable progress. However, traditional silicon vision chips often grapple with high energy losses and challenges in emulating complex biological behaviors. In this study, we constructed a van der Waals P3HT/GaAs nanowires P-N junction by carefully directing the arrangement of organic molecules. Combined with a Schottky junction, this facilitated multi-faceted birdlike visual enhancement, including broadband non-volatile storage, low-light perception, and a near-zero power consumption operating mode in both individual devices and 5 × 5 arrays on arbitrary substrates. Specifically, we realized over 5 bits of in-memory sensing and computing with both negative and positive photoconductivity. When paired with two imaging modes (visible and UV), our reservoir computing system demonstrated up to 94% accuracy for color recognition. It achieved motion and UV grayscale information extraction (displayed with sunscreen), leading to fusion visual imaging. This work provides a promising co-design of material and device for a broadband and highly biomimetic optoelectronic neuromorphic system.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-024-52563-4 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52563-4

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-024-52563-4

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().