Evidence map›Paper›PMID 38757653›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Advanced Neuromorphic Applications Enabled by Synaptic Ion-Gating Vertical Transistors.

Leandro Merces, Letícia Mariê Minatogau Ferro, Ali Nawaz, Prashant Sonar

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Using the Transversal Admittance to Understand Organic Electrochemical Transistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  13. Article
  14. Advanced Neuromorphic Applications Enabled by Synaptic Ion-Gating Vertical Transistors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

4 authors.

Leandro MercesResearch Center for Materials, Architectures, and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, 09126, Chemnitz, Germany.ORCID https://orcid.org/0000-0002-6202-9824
Letícia Mariê Minatogau FerroResearch Center for Materials, Architectures, and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, 09126, Chemnitz, Germany.ORCID https://orcid.org/0000-0002-3844-5916
Ali NawazCenter for Sensors and Devices, Bruno Kessler Foundation (FBK), Trento, 38123, Italy.ORCID https://orcid.org/0000-0001-5376-861X
Prashant SonarSchool of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane, QLD, 4000, Australia.

Funding

Australian Research Council DP210103006
6 · The paper itself

Abstract

Bioinspired synaptic devices have shown great potential in artificial intelligence and neuromorphic electronics. Low energy consumption, multi-modal sensing and recording, and multifunctional integration are critical aspects limiting their applications. Recently, a new synaptic device architecture, the ion-gating vertical transistor (IGVT), has been successfully realized and timely applied to perform brain-like perception, such as artificial vision, touch, taste, and hearing. In this short time, IGVTs have already achieved faster data processing speeds and more promising memory capabilities than many conventional neuromorphic devices, even while operating at lower voltages and consuming less power. This work focuses on the cutting-edge progress of IGVT technology, from outstanding fabrication strategies to the design and realization of low-voltage multi-sensing IGVTs for artificial-synapse applications. The fundamental concepts of artificial synaptic IGVTs, such as signal processing, transduction, plasticity, and multi-stimulus perception are discussed comprehensively. The contribution draws special attention to the development and optimization of multi-modal flexible sensor technologies and presents a roadmap for future high-end theoretical and experimental advancements in neuromorphic research that are mostly achievable by the synaptic IGVTs.

Indexed as

artificial synapsesbrain‐inspiredelectrochemicalfield effectshuman‐machine interfacingmulti‐modalsensors

Identifiers

PMID38757653
PMCPMC11251569

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.