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Birdlike broadband neuromorphic visual sensor arrays for fusion imaging

Authors :
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
Johnny C. Ho
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6b6262b376486799c0d6dbd5f01265
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-52563-4