先进的突触装置及其在仿生感觉神经系统中的应用

Chip Pub Date : 2023-03-01 DOI:10.1016/j.chip.2022.100031
Yiqi Sun , Jiean Li , Sheng Li , Yongchang Jiang , Enze Wan , Jiahan Zhang , Yi Shi , Lijia Pan
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引用次数: 0

摘要

人类神经系统由神经元和突触网络组成,能够以可塑、数据并行、容错和节能的方式处理信息。受这种神奇的生物数据处理系统巧妙的工作机制的启发,近几十年来,科学家们一直在致力于基于突触设备的人工神经系统。近年来,仿生传感器和突触装置的不断发展使人工感觉神经系统能够实时捕捉和处理刺激信息成为可能。仿生感觉神经系统的进步可能为下一代人形机器人、人机界面和其他前沿应用提供新的方法。本文综述了近年来突触装置和仿生感觉神经系统的研究进展。此外,还概述了仿生感觉神经系统进一步发展的机遇和剩余挑战。
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Advanced synaptic devices and their applications in biomimetic sensory neural system

Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, data-parallel, fault-tolerant, and energy-efficient approach. Inspired by the ingenious working mechanism of this miraculous biological data processing system, scientists have been devoting great efforts to artificial neural systems based on synaptic devices in recent decades. The continuous development of bioinspired sensors and synaptic devices in recent years have made it possible that artificial sensory neural systems are capable of capturing and processing stimuli information in real time. The progress of biomimetic sensory neural systems could provide new methods for next-generation humanoid robotics, human-machine interfaces, and other frontier applications. Herein, this review summarized the recent progress of synaptic devices and biomimetic sensory neural systems. Additionally, the opportunities and remaining challenges in the further development of biomimetic sensory neural systems were also outlined.

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