Advanced synaptic devices and their applications in biomimetic sensory neural system

被引:34
作者
Sun, Yiqi [1 ]
Li, Jiean [1 ]
Li, Sheng [1 ,2 ]
Jiang, Yongchang [1 ]
Wan, Enze [3 ]
Zhang, Jiahan [1 ]
Shi, Yi [1 ]
Pan, Lijia
机构
[1] Nanjing Univ, Sch Elect Sci & Engn, Nanjing 210093, Peoples R China
[2] Changzhou Univ, Sch Microelect & Control Engn, Changzhou 213164, Peoples R China
[3] Macau Univ Sci & Technol, Sch Comp Sci & Engn, Taipa, Peoples R China
来源
CHIP | 2023年 / 2卷 / 01期
基金
中国国家自然科学基金;
关键词
Artificial synapse; Biomimetic sensory neural system; Mem-; ristor; Synaptic transistor; LONG-TERM POTENTIATION; PHASE-CHANGE MATERIALS; ARTIFICIAL SYNAPSES; MEMORY; PLASTICITY; MEMRISTOR; TRANSISTOR; VOLTAGE; FUTURE; INFORMATION;
D O I
10.1016/j.chip.2022.100031
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Human nervous system, which is composed of neuron and synapse networks, is capable of processing information in a plastic, dataparallel, 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.
引用
收藏
页数:22
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