Evidence map›Paper›PMID 39179548›Full record

ArticleNature communications2024

Crossmodal sensory neurons based on high-performance flexible memristors for human-machine in-sensor computing system.

Zhiyuan Li, Zhongshao Li, Wei Tang, Jiaping Yao, Zhipeng Dou, Junjie Gong, Yongfei Li, Beining Zhang, Yunxiao Dong, Jian Xia 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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. A Reconfigurable Memristive Spiking Neuron Enabling Advanced Neuromorphic Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Low-Latency Visuotactile Neuron Using Self-Oscillating Memristor.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Signal processing and resistive switching mechanisms of niobium oxides.Science and technology of advanced materials · 2026
    Review
  18. Review
  19. Article
  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

16 authors.

Zhiyuan Li *School of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Zhongshao Li *State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, China.
Wei TangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Jiaping YaoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Zhipeng DouState Key Laboratory of Catalysis, CAS Center for Excellence in Nanoscience, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Junjie GongSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Yongfei LiSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Beining ZhangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Yunxiao DongSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Jian XiaSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China.
Lin SunState Key Laboratory of Catalysis, CAS Center for Excellence in Nanoscience, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.
Peng JiangState Key Laboratory of Catalysis, CAS Center for Excellence in Nanoscience, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China.ORCID 0000-0001-6281-5617
Xun CaoState Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Chinese Academy of Sciences, Shanghai, China. cxun@mail.sic.ac.cn.ORCID 0000-0003-4417-6350
Rui YangSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China. yangrui@hust.edu.cn.ORCID 0000-0002-1886-5286
Xiangshui MiaoSchool of Integrated Circuits, Huazhong University of Science and Technology, Wuhan, China. miaoxs@hust.edu.cn.ORCID 0000-0002-3999-7421
Ronggui YangState Key Laboratory of Coal Combustion, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-3602-6945

Funding

National Natural Science Foundation of China (National Science Foundation of China) Grant No. 62175248
6 · The paper itself

Abstract

Constructing crossmodal in-sensor processing system based on high-performance flexible devices is of great significance for the development of wearable human-machine interfaces. A bio-inspired crossmodal in-sensor computing system can perform real-time energy-efficient processing of multimodal signals, alleviating data conversion and transmission between different modules in conventional chips. Here, we report a bio-inspired crossmodal spiking sensory neuron (CSSN) based on a flexible VO

Indexed as

Sensory Receptor CellsWearable Electronic DevicesAction PotentialsEquipment DesignHumansMan-Machine Systems

Identifiers

PMID39179548
PMCPMC11344147

What OpenQuestion holds

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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.