用于神经形态电子学的摩擦电纳米发生器

Guanglong Ding , Su-Ting Han , Vellaisamy A.L. Roy , Chi-Ching Kuo , Ye Zhou
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引用次数: 5

摘要

构建基于神经形态电子学的大脑启发神经网络计算系统,是在大数据爆炸时代打破冯·诺依曼硬件瓶颈,实现高效低能耗信息处理的有效途径。摩擦电纳米发电机(TENG)具有传感和能量转换两种功能,促进了其作为传感器和/或电源在自供电神经形态电子中的应用,用于数据存储和生物突触/神经元行为模拟。本文重点介绍了用于记忆设备、人工突触和人工神经元的TENG的相关工作,进行了系统的比较,并提出了未来的研究可能性和挑战,希望吸引更多的研究人员进入该领域,促进基于TENG的神经形态电子学的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Triboelectric nanogenerator for neuromorphic electronics

Building the brain-inspired neural network computing system based neuromorphic electronics is an effective approach to break the von Neumann bottleneck on the hardware level and realize the information processing with high efficiency and low energy consumption in this big data explosion age. Triboelectric nanogenerator (TENG) has two functions of sensing and energy conversion, which promote the application as sensor and/or power supply in self-powered neuromorphic electronics for data storage and biological synapse/neuron behaviors mimicking. This article highlights the relevant works of TENGs for memory devices, artificial synapses and artificial neurons, performs a systematic comparison, and puts forward the future research possibilities and challenges, with the hope of attracting more researchers into this field and promoting the development of TENG based neuromorphic electronics.

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