Evidence map›Paper›PMID 34645801›Full record

ArticleNature communications2021

Memristor-based biomimetic compound eye for real-time collision detection.

Yan Wang, Yue Gong, Shenming Huang, Xuechao Xing, Ziyu Lv, Junjie Wang, Jia-Qin Yang, Guohua Zhang, Ye Zhou, Su-Ting Han

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
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  10. Article
  11. α-CsPbISmall methods · 2025
    Article
  12. Advances in Metal Halide Perovskite Memristors: A Review from a Co-Design Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Neuromorphic antennal sensory system.Nature communications · 2024
    Article
  20. Review
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

10 authors.

Yan Wang *Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Yue Gong *Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Shenming HuangInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Xuechao XingInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Ziyu LvInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Junjie WangInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Jia-Qin YangInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Guohua ZhangInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Ye ZhouInstitute for Advanced Study, Shenzhen University, 518060, Shenzhen, P. R. China.
Su-Ting HanInstitute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China. sutinghan@szu.edu.cn.ORCID 0000-0003-3392-7569

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate collision and trigger avoidance efficiently owing to the earlier occurring firing peak before collision. Vision chips inspired by the LGMD have been successfully implemented in very-large-scale-integration (VLSI) system. However, transistor-based chips and single devices to simulate LGMD neurons make them bulky, energy-inefficient and complicated. The devices with relatively compact structure and simple operation mode to mimic the escape response of LGMD neuron have not been realized yet. Here, the artificial LGMD visual neuron is implemented using light-mediated threshold switching memristor. The non-monotonic response to light flow field originated from the formation and break of Ag conductive filaments is analogue to the escape response of LGMD neuron. Furthermore, robot navigation with obstacle avoidance capability and biomimetic compound eyes with wide field-of-view (FoV) detection capability are demonstrated.

Identifiers

PMID34645801
PMCPMC8514515

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Registered trials

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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.