Evidence map›Paper›PMID 34691573›Full record

ArticleNational science review2021

Networking retinomorphic sensor with memristive crossbar for brain-inspired visual perception.

Shuang Wang, Chen-Yu Wang, Pengfei Wang, Cong Wang, Zhu-An Li, Chen Pan, Yitong Dai, Anyuan Gao, Chuan Liu, Jian Liu and 9 more

Open access · goldAbstract read
In one paragraph

Article in National science review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

29 citing papers in PubMed, 148 citations in OpenAlex.

  1. Bioinspired Photodetectors: From Nature to Advanced Applications.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
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  14. Coupled Ferroelectric-Photonic Memory in a Retinomorphic Hardware for In-Sensor Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Emerging memristive neurons for neuromorphic computing and sensing.Science and technology of advanced materials · 2023
    Review
  20. Article
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

19 authors at 3 institutions in 2 countries.

Shuang WangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Chen-Yu WangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Pengfei WangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Cong WangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Zhu-An LiNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Chen PanNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Yitong DaiNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Anyuan GaoNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Chuan LiuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Jian LiuSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Huafeng YangSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Xiaowei LiuNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Bin ChengNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Kunji ChenSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.
Zhenlin WangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Kenji WatanabeNational Institute for Materials Science, Tsukuba 305-0044, Japan.
Takashi TaniguchiNational Institute for Materials Science, Tsukuba 305-0044, Japan.
Shi-Jun LiangNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Feng MiaoNational Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.
Nanjing University · CNCollaborative Innovation Center of Advanced Microstructures · CNNational Institute for Materials Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared to human vision, conventional machine vision composed of an image sensor and processor suffers from high latency and large power consumption due to physically separated image sensing and processing. A neuromorphic vision system with brain-inspired visual perception provides a promising solution to the problem. Here we propose and demonstrate a prototype neuromorphic vision system by networking a retinomorphic sensor with a memristive crossbar. We fabricate the retinomorphic sensor by using WSe

Indexed as

brain-inspired visual perceptionmemristive crossbarneuromorphic computingretinomorphic sensorvan der Waals heterostructure

Identifiers

PMID34691573
PMCPMC8288371
OpenAlexW3044557848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.