Sun Cui, Liu Xuerong, Jiang Qian, Ye Xiaoyu, Zhu Xiaojian, Li Run-Wei
CAS Key Laboratory of Magnetic Materials and Devices, and Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, China.
Sci Technol Adv Mater. 2023 Jan 11;24(1):2162325. doi: 10.1080/14686996.2022.2162325. eCollection 2023.
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.
随着智能机器人技术、物联网和智能传感器技术的快速发展,人们对开发用于模拟人类先进感知功能的下一代智能系统投入了极大热情。神经形态器件能够模拟生物神经系统的学习、记忆、分析和识别功能,为智能处理传感信息提供了解决方案。作为最重要的神经形态器件之一,电解质门控晶体管(EGT)在实现各种重要神经功能以及与传感器的良好兼容性方面展现出了巨大潜力。本文综述了EGT的材料、工作原理和性能,接着讨论了EGT在突触和神经元模拟方面的最新进展。还探讨了将EGT与能够如触觉和视觉感知等忠实地模拟人类多种感知功能的传感器集成的情况。给出了EGT进一步发展面临的挑战。