Evidence map›Paper›PMID 28979183›Full record

ArticleFrontiers in neuroscience2017

Nanowire FET Based Neural Element for Robotic Tactile Sensing Skin.

William Taube Navaraj, Carlos García Núñez, Dhayalan Shakthivel, Vincenzo Vinciguerra, Fabrice Labeau, Duncan H Gregory, Ravinder Dahiya

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 124 citations in OpenAlex.

  1. Article
  2. SORI: A softness-rendering interface to unravel the nature of softness perception.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Skin-Inspired Thermoreceptors-Based Electronic Skin for Biomimicking Thermal Pain Reflexes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  4. Transfer of Tactile Learning from Trained to Untrained Body Parts Supported by Cortical Coactivation in Primary Somatosensory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Near-hysteresis-free soft tactile electronic skins for wearables and reliable machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Soft eSkin: distributed touch sensing with harmonized energy and computing.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020
    Article
  15. Article
  16. Graphene-Graphite Polyurethane Composite Based High-Energy Density Flexible Supercapacitors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Article
  17. Article
  18. 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

7 authors at 3 institutions in 4 countries.

William Taube NavarajBendable Electronics and Sensing Technologies Group, School of Engineering, University of GlasgowGlasgow, United Kingdom.
Carlos García NúñezBendable Electronics and Sensing Technologies Group, School of Engineering, University of GlasgowGlasgow, United Kingdom.
Dhayalan ShakthivelBendable Electronics and Sensing Technologies Group, School of Engineering, University of GlasgowGlasgow, United Kingdom.
Vincenzo VinciguerraST MicroelectronicsCatania, Italy.
Fabrice LabeauDepartment of Electrical and Computer Engineering, McGill UniversityMontreal, QC, Canada.
Duncan H GregoryWestCHEM, School of Chemistry, University of GlasgowGlasgow, United Kingdom.
Ravinder DahiyaBendable Electronics and Sensing Technologies Group, School of Engineering, University of GlasgowGlasgow, United Kingdom.
University of Glasgow · GBMcGill University · CASTMicroelectronics (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents novel Neural Nanowire Field Effect Transistors (υ-NWFETs) based hardware-implementable neural network (HNN) approach for tactile data processing in electronic skin (e-skin). The viability of Si nanowires (NWs) as the active material for υ-NWFETs in HNN is explored through modeling and demonstrated by fabricating the first device. Using υ-NWFETs to realize HNNs is an interesting approach as by printing NWs on large area flexible substrates it will be possible to develop a bendable tactile skin with distributed neural elements (for local data processing, as in biological skin) in the backplane. The modeling and simulation of υ-NWFET based devices show that the overlapping areas between individual gates and the floating gate determines the initial synaptic weights of the neural network - thus validating the working of υ-NWFETs as the building block for HNN. The simulation has been further extended to υ-NWFET based circuits and neuronal computation system and this has been validated by interfacing it with a transparent tactile skin prototype (comprising of 6 × 6 ITO based capacitive tactile sensors array) integrated on the palm of a 3D printed robotic hand. In this regard, a tactile data coding system is presented to detect touch gesture and the direction of touch. Following these simulation studies, a four-gated υ-NWFET is fabricated with Pt/Ti metal stack for gates, source and drain, Ni floating gate, and Al

Indexed as

Nanowire Field Effect Transistorneuro-roboticssilicon nanowiresparse codingtactile skin

Identifiers

PMID28979183
PMCPMC5611376
OpenAlexW2755222108

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.