神经形态工程学
计算机科学
晶体管
计算机体系结构
传输(电信)
电子工程
人工智能
人工神经网络
电气工程
工程类
电压
电信
作者
Zihan Jiang,Shuo Ke,Ying Zhu,Yixin Zhu,Li Zhu,Changjin Wan,Qing Wan
出处
期刊:Chinese Physics
[Science Press]
日期:2022-01-01
卷期号:71 (14): 147301-147301
被引量:1
标识
DOI:10.7498/aps.71.20220308
摘要
Biological perception system has the unique advantages of high parallelism, high error tolerance, self-adaptation and low power consumption. Using neuromorphic devices to emulate biological perceptual system can effectively promote the development of brain-computer interfaces, intelligent perception, biological prosthesis and so on. Compared with other neuromorphic devices, multi-terminal neuromorphic transistors can not only realize signal transmission and training learning at the same time, but also carry out nonlinear spatio-temporal integration and collaborative regulation of multi-channel signals. However, the traditional rigid neuromorphic transistor is difficult to achieve bending deformation and close fit with the human body, which limits the application range of neuromorphic devices. Therefore, the research of flexible neuromorphic transistor with good bending characteristics has become the focus of recent research. Firstly, this review introduces the research progress of many kinds of flexible neuromorphic transistors, including device structure, working principle and basic functions. In addition, the application of the flexible neuromorphic transistor in the field of bionic perception is also introduced. Finally, this review also gives a summary and simple prospect of the above research fields.
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