Evidence map›Paper›PMID 39333067›Full record

ArticleNature communications2024

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 and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Pengshan Xie *Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Yunchao Xu *Hunan Key Laboratory for Super-microstructure and Ultrafast Process, School of Physics, Central South University, Changsha, Hunan, China.
Jingwen Wang *Hunan Key Laboratory for Super-microstructure and Ultrafast Process, School of Physics, Central South University, Changsha, Hunan, China.
Dengji LiDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Yuxuan ZhangDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Zixin ZengDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Boxiang GaoDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Quan QuanDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Bowen LiDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-5133-931X
You MengDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-5385-4080
Weijun WangDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Yezhan LiDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Yan YanDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Yi ShenDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China.
Jia SunHunan Key Laboratory for Super-microstructure and Ultrafast Process, School of Physics, Central South University, Changsha, Hunan, China. jiasun@csu.edu.cn.ORCID http://orcid.org/0000-0003-4423-8128
Johnny C HoDepartment of Materials Science and Engineering, City University of Hong Kong, Hong Kong, China. johnnyho@cityu.edu.hk.ORCID http://orcid.org/0000-0003-3000-8794

Funding

Research Grants Council, University Grants Committee (RGC, UGC) CityU RFS2021-1S04
6 · The paper itself

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.

Identifiers

PMID39333067
PMCPMC11437102

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.