Memristor-based biomimetic compound eye for real-time collision detection

Yan Wang, Yue Gong, Shenming Huang, Xuechao Xing, Ziyu Lv, Junjie Wang, Jia-Qin Yang, Guohua Zhang, Ye Zhou and Su-Ting Han ()
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Yan Wang: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Yue Gong: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Shenming Huang: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Xuechao Xing: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Ziyu Lv: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Junjie Wang: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Jia-Qin Yang: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Guohua Zhang: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
Ye Zhou: Institute for Advanced Study, Shenzhen University
Su-Ting Han: Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University

Nature Communications, 2021, vol. 12, issue 1, 1-12

Abstract: Abstract 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.

Date: 2021
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DOI: 10.1038/s41467-021-26314-8

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