Evidence map›Paper›PMID 38664383›Full record

ArticleNature communications2024

Memory-electroluminescence for multiple action-potentials combination in bio-inspired afferent nerves.

Kun Wang, Yitao Liao, Wenhao Li, Junlong Li, Hao Su, Rong Chen, Jae Hyeon Park, Yongai Zhang, Xiongtu Zhou, Chaoxing Wu and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Single polymer fiber-based ultrasensitive and multifunctional flexible microsensor via arthropod-inspired crack-helix coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. 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

13 authors at 4 institutions in 2 countries.

Kun Wang *College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Yitao Liao *College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Wenhao Li *College of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Junlong LiCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Hao SuCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Rong ChenFujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou, 350108, China.
Jae Hyeon ParkDepartment of Electronic and Computer Engineering, Hanyang University, Seoul, 133-791, Korea.
Yongai ZhangCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Xiongtu ZhouCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China.
Chaoxing WuCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China. chaoxing_wu@fzu.edu.cn.ORCID http://orcid.org/0000-0002-1231-2699
Zhiqiang LiuResearch and Development Center for Semiconductor Lighting Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China. lzq@semi.ac.cn.ORCID http://orcid.org/0000-0002-5341-0463
Tailiang GuoCollege of Physics and Information Engineering, Fuzhou University, Fuzhou, 350108, China. gtl_fzu@hotmail.com.ORCID http://orcid.org/0009-0006-7868-7756
Tae Whan KimDepartment of Electronic and Computer Engineering, Hanyang University, Seoul, 133-791, Korea. twk@hanyang.ac.kr.ORCID http://orcid.org/0000-0001-6899-4986
Fuzhou University · CNTan Kah Kee Innovation Laboratory · CNHanyang University · KRInstitute of Semiconductors · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of optoelectronics mimicking the functions of the biological nervous system is important to artificial intelligence. This work demonstrates an optoelectronic, artificial, afferent-nerve strategy based on memory-electroluminescence spikes, which can realize multiple action-potentials combination through a single optical channel. The memory-electroluminescence spikes have diverse morphologies due to their history-dependent characteristics and can be used to encode distributed sensor signals. As the key to successful functioning of the optoelectronic, artificial afferent nerve, a driving mode for light-emitting diodes, namely, the non-carrier injection mode, is proposed, allowing it to drive nanoscale light-emitting diodes to generate a memory-electroluminescence spikes that has multiple sub-peaks. Moreover, multiplexing of the spikes can be obtained by using optical signals with different wavelengths, allowing for a large signal bandwidth, and the multiple action-potentials transmission process in afferent nerves can be demonstrated. Finally, sensor-position recognition with the bio-inspired afferent nerve is developed and shown to have a high recognition accuracy of 98.88%. This work demonstrates a strategy for mimicking biological afferent nerves and offers insights into the construction of artificial perception systems.

Indexed as

Action PotentialsArtificial IntelligenceBiomimeticsHumansLuminescenceNeurons, Afferent

Identifiers

PMID38664383
PMCPMC11045776
OpenAlexW4395482245

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.