ReviewScience and technology of advanced materials2023
Emerging electrolyte-gated transistors for neuromorphic perception.
Review in Science and technology of advanced materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed.
- Battery-Inspired Electrochemical Synapses for Neuromorphic Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Microfibrillated Cellulose Embedded with KCl as a Solid-Dopant Matrix into an Electrolyte-Gated Transistor.ACS omega · 2026Article
- Al Nanoparticle-Decorated Metal Oxide Synaptic Transistors for Ultralow-Energy Neuromorphic Computing with Wide Dynamic Range.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Low-Power Ionically Tunable Bilayer MoSNano letters · 2025Article
- Electronic transport properties in lithium cobalt oxide battery electrode material studied in ion-gated transistor configuration.iScience · 2025Article
- Memristive Ion Dynamics to Enable Biorealistic Computing.Chemical reviews · 2025Review
- Near-Sensor Reservoir Computing for Gait Recognition via a Multi-Gate Electrolyte-Gated Transistor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Foreword to the focus issue: materials and technologies for memristors and neuromorphic devices.Science and technology of advanced materials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of intelligent robotics, the Internet of Things, and smart sensor technologies, great enthusiasm has been devoted to developing next-generation intelligent systems for the emulation of advanced perception functions of humans. Neuromorphic devices, capable of emulating the learning, memory, analysis, and recognition functions of biological neural systems, offer solutions to intelligently process sensory information. As one of the most important neuromorphic devices, Electrolyte-gated transistors (EGTs) have shown great promise in implementing various vital neural functions and good compatibility with sensors. This review introduces the materials, operating principle, and performances of EGTs, followed by discussing the recent progress of EGTs for synapse and neuron emulation. Integrating EGTs with sensors that faithfully emulate diverse perception functions of humans such as tactile and visual perception is discussed. The challenges of EGTs for further development are given.
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Registered trials
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.