神经形态工程学
计算机科学
感觉系统
人工智能
信号(编程语言)
感知
材料科学
神经科学
人工神经网络
心理学
程序设计语言
作者
Yaqian Liu,Huaan Zeng,Tailiang Guo,Huipeng Chen
标识
DOI:10.1109/ted.2023.3306733
摘要
Biological nervous system is a complex multifunctional learning system. Our brain can receive, judge, and remember different signals from different sensory organs, such as hearing, touch, taste, and so on. Constructing such an artificial perceptual memory system is critical for biomimetic and real-time neuromorphic computing applications. Here, an artificial tactile perception system with the functions of perception, memory, and feedback is realized by utilizing a triboelectric nanogenerator (TENG) with a polymer light-emitting electrochemical cell (PLEC). The TENG functions as a tactile receptor to convert pressure signals into electrical signals, and the PLEC functions as a light-emitting electrochemical artificial synapse (LEEAS) with the dual output of photoelectric signal, in which the optical signals are used to reflect the strength of the pressure and the electrical signals are used to achieve different memory levels. Interestingly, the artificial tactile system successfully simulates the stress response and pain memory of organisms to different levels of stress signals, which is quite similar to the actual biological perception system and is expected to build artificial skin.
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