Evidence map›Paper›PMID 40295748›Full record

ArticleNature materials2025

Bio-inspired artificial mechanoreceptors with built-in synaptic functions for intelligent tactile skin.

Seok Ju Hong, Yu Rim Lee, Atanu Bag, Hyo Soo Kim, Tran Quang Trung, M Junaid Sultan, Dong-Bin Moon, Nae-Eung Lee

Abstract read
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In one paragraph

Article in Nature materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Multiscale Manufacturing of Organic Electronic Materials.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Self-Powered Neuromorphic Systems Based on Tribotronics Synaptic Devices.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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
  16. Article
  17. Article
  18. Article
  19. Review
  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

8 authors.

Seok Ju Hong *School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0009-0007-2228-9537
Yu Rim Lee *School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0009-0006-1783-5508
Atanu Bag *School of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0002-9781-542X
Hyo Soo KimSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0009-0000-2787-3002
Tran Quang TrungSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0000-0003-1698-7543
M Junaid SultanSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0009-0002-4402-7937
Dong-Bin MoonSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea.ORCID 0009-0005-6453-8453
Nae-Eung LeeSchool of Advanced Materials Science & Engineering, Sungkyunkwan University, Suwon, Republic of Korea. nelee@skku.edu.ORCID 0000-0002-6539-5010

Funding

National Research Foundation of Korea (NRF) RS-2019-NR040077National Research Foundation of Korea (NRF) RS-2020-NR049321National Research Foundation of Korea (NRF) RS-2024-00403639
6 · The paper itself

Abstract

Tactile perception involves the preprocessing of signals from slowly adapting and fast-adapting afferent neurons, which exhibit synapse-like interactions between mechanoreceptors and their dendrites or terminals, transmitting signals to the brain. Emulating these adaptation and sensory memory functions is crucial for artificial tactile sensing systems. Here, inspired by human tactile afferent systems, we present an array of artificial synaptic mechanoreceptors with built-in synaptic functions by vertically integrating synaptic transistors with a reduced graphene oxide channel, an ionogel gate dielectric and an elastomeric fingerprint-like receptive layer in an all-in-one platform. Triboelectric-capacitive gating between the receptive layer and gate dielectric in response to tactile stimulation governs excitatory post-synaptic current patterns, enabling slowly adapting and fast-adapting characteristics for signal preprocessing. The artificial synaptic mechanoreceptor array demonstrated handwriting style, surface pattern and texture discrimination via machine learning using fused slowly adapting and fast-adapting post-synaptic values, offering high data efficiency and potential for intelligent skin.

Indexed as

MechanoreceptorsSkinSynapsesTouchBiomimeticsGraphiteHumansMachine LearningTransistors, Electronicgraphene oxideGraphite

Identifiers

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.