Evidence map›Paper›PMID 41738434›Full record

ArticleACS nano2026

Flicker-Suppressed Neuromorphic Unit for Dynamic Vision Processing.

Pengshan Xie, Shuhui Shi, Lei Ran, Chunhua Wang, Dengji Li, Yuxuan Zhang, Yiyang Wei, Quan Quan, Bowen Li, You Meng and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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 XieDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Shuhui ShiSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.
Lei RanSchool of Energy and Environment, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Chunhua WangSchool of Energy and Environment, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Dengji LiDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Yuxuan ZhangDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Yiyang WeiSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Quan QuanDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Bowen LiDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
You MengDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Weijun WangDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.
Boxiang GaoDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.ORCID 0000-0001-8422-5941
Changyong LanSchool of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-5654-1098
Michael K H LeungSchool of Energy and Environment, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.ORCID 0000-0002-5023-8899
Zhongrui WangSchool of Microelectronics, Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-2264-0677
Johnny C HoDepartment of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong SAR.ORCID 0000-0003-3000-8794

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspired by the dynamic visual perception of flying insects, rapid collision warning systems are crucial for advancing autonomous driving and machine control. Although neuromorphic devices show significant potential for replicating insect vision systems, they are hindered by limitations in the sensing frequency, signal-to-noise ratio, and flicker noise. Here, we use a combination of a homojunction and heterojunction to emulate the two different transmission modes of nerve signals via gate-voltage modulation. The structural design and heterojunction effects enabled artificial neurons to respond to high-frequency visible-light signals and achieve an information transmission rate of 2100 bits s

Indexed as

NeuronsVision, OcularVisual PerceptionAction PotentialsAnimalsLightchannel stressdynamic vision processingflicker-suppressedheterojunctionreservoir computingultrafast stimulation

Identifiers

PMID41738434
PMCPMC12981026

What OpenQuestion holds

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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.