Overall
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received February 26, 2025
Revised March 19, 2025
Accepted March 20, 2025
Available online September 25, 2025
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Most Cited
Recent Strategies in Channel Modulation for High-Performance Neuromorphic Computing Based on Electrolyte-Gated Organic Synaptic Transistors
https://doi.org/10.1007/s11814-025-00450-z
Abstract
Neuromorphic computing, which mimics the functionality of human neural networks, has gained attention as a next-generation
computing approach due to its advantages in high-speed data processing and low power consumption. As a result,
extensive research has been conducted on synaptic transistors to realize this technology. Among them, electrolyte-gated
organic synaptic transistors (EGOSTs) stand out due to their ability to regulate channel conductivity at ultra-low operating
voltages, making them a crucial component for high-performance neuromorphic hardware. Channel modulation strategies
play an essential role in enhancing synaptic performance by reducing dependence on external factors and enabling precise
conductivity control, which is critical for developing high-performance EGOSTs. This review provides an overview of the
fundamental operating principles of EGOSTs and explores various channel modulation strategies, concluding discussions
on future advancements and technical challenges.
