Evidence map›Paper›PMID 37851813›Full record

ArticleScience advances2023

Ion trap and release dynamics enables nonintrusive tactile augmentation in monolithic sensory neuron.

Hyukmin Kweon, Joo Sung Kim, Seongchan Kim, Haisu Kang, Dong Jun Kim, Hanbin Choi, Dong Gue Roe, Young Jin Choi, Seung Geol Lee, Jeong Ho Cho and 1 more

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Battery-Inspired Electrochemical Synapses for Neuromorphic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Artificial Nervous Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Gel-Based Ionic Circuits.Chemical reviews · 2025
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Bio-Inspired Neuromorphic Sensory Systems from Intelligent Perception to Nervetronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  18. Article
  19. 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

11 authors.

Hyukmin KweonDepartment of Chemical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0005-0329-511X
Joo Sung KimDepartment of Chemical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0009-3868-3437
Seongchan KimDepartment of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802, USA.ORCID 0000-0003-3864-4250
Haisu KangSchool of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0009-0005-5560-7576
Dong Jun KimDepartment of Chemical Engineering, Hanyang University, Seoul 04763, Republic of Korea.
Hanbin ChoiDepartment of Chemical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0009-0008-7561-1128
Dong Gue RoeSchool of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-2889-3379
Young Jin ChoiDepartment of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-8893-0848
Seung Geol LeeSchool of Chemical Engineering, Pusan National University, Busan 46241, Republic of Korea.ORCID 0000-0001-7965-7387
Jeong Ho ChoDepartment of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea.ORCID 0000-0002-1030-9920
Do Hwan KimDepartment of Chemical Engineering, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0003-3003-8125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An iontronic-based artificial tactile nerve is a promising technology for emulating the tactile recognition and learning of human skin with low power consumption. However, its weak tactile memory and complex integration structure remain challenging. We present an ion trap and release dynamics (iTRD)-driven, neuro-inspired monolithic artificial tactile neuron (NeuroMAT) that can achieve tactile perception and memory consolidation in a single device. Through the tactile-driven release of ions initially trapped within iTRD-iongel, NeuroMAT only generates nonintrusive synaptic memory signals when mechanical stress is applied under voltage stimulation. The induced tactile memory is augmented by auxiliary voltage pulses independent of tactile sensing signals. We integrate NeuroMAT with an anthropomorphic robotic hand system to imitate memory-based human motion; the robust tactile memory of NeuroMAT enables the hand to consistently perform reliable gripping motion.

Indexed as

TouchTouch PerceptionHumansLearningSensory Receptor CellsSkin

Identifiers

PMID37851813
PMCPMC10584339

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.