记忆电阻器
计算机科学
碰撞
纳米技术
人工智能
材料科学
计算机安全
工程类
电子工程
作者
Yan Wang,Yue Gong,Shenming Huang,Xuechao Xing,Ziyu Lv,Junjie Wang,Jia‐Qin Yang,Guohua Zhang,Ye Zhou,Su‐Ting Han
标识
DOI:10.1038/s41467-021-26314-8
摘要
The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate collision and trigger avoidance efficiently owing to the earlier occurring firing peak before collision. Vision chips inspired by the LGMD have been successfully implemented in very-large-scale-integration (VLSI) system. However, transistor-based chips and single devices to simulate LGMD neurons make them bulky, energy-inefficient and complicated. The devices with relatively compact structure and simple operation mode to mimic the escape response of LGMD neuron have not been realized yet. Here, the artificial LGMD visual neuron is implemented using light-mediated threshold switching memristor. The non-monotonic response to light flow field originated from the formation and break of Ag conductive filaments is analogue to the escape response of LGMD neuron. Furthermore, robot navigation with obstacle avoidance capability and biomimetic compound eyes with wide field-of-view (FoV) detection capability are demonstrated.
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