Evidence map›Paper›PMID 32929071›Full record

ArticleNature communications2020

An artificial sensory neuron with visual-haptic fusion.

Changjin Wan, Pingqiang Cai, Xintong Guo, Ming Wang, Naoji Matsuhisa, Le Yang, Zhisheng Lv, Yifei Luo, Xian Jun Loh, Xiaodong Chen

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Review
  2. Article
  3. Artificial Neuron Based on Electrical Anisotropy from WSeAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. An organic electrochemical neuron for a neuromorphic perception system.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  19. Bio-Plausible Multimodal Learning with Emerging Neuromorphic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  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.

Changjin WanInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0002-3210-6673
Pingqiang CaiInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0002-2665-5932
Xintong GuoInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.
Ming WangInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0003-0976-9871
Naoji MatsuhisaInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5978-2778
Le YangInstitute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 138634, Singapore, Singapore.
Zhisheng LvInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0003-0777-110X
Yifei LuoInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore.ORCID http://orcid.org/0000-0002-4454-6318
Xian Jun LohInstitute of Materials Research and Engineering, Agency for Science, Technology and Research (A*STAR), 138634, Singapore, Singapore.
Xiaodong ChenInnovative Center for Flexible Devices (iFLEX), Max Planck - NTU Joint Lab for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, 639798, Singapore, Singapore. chenxd@ntu.edu.sg.ORCID http://orcid.org/0000-0002-3312-1664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human behaviors are extremely sophisticated, relying on the adaptive, plastic and event-driven network of sensory neurons. Such neuronal system analyzes multiple sensory cues efficiently to establish accurate depiction of the environment. Here, we develop a bimodal artificial sensory neuron to implement the sensory fusion processes. Such a bimodal artificial sensory neuron collects optic and pressure information from the photodetector and pressure sensors respectively, transmits the bimodal information through an ionic cable, and integrates them into post-synaptic currents by a synaptic transistor. The sensory neuron can be excited in multiple levels by synchronizing the two sensory cues, which enables the manipulating of skeletal myotubes and a robotic hand. Furthermore, enhanced recognition capability achieved on fused visual/haptic cues is confirmed by simulation of a multi-transparency pattern recognition task. Our biomimetic design has the potential to advance technologies in cyborg and neuromorphic systems by endowing them with supramodal perceptual capabilities.

Indexed as

AnimalsCell LineElectrodesHumansMiceMotionNanotubes, CarbonPattern Recognition, AutomatedSensory Receptor CellsTouchVision, OcularNanotubes, Carbon

Identifiers

PMID32929071
PMCPMC7490423

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.