Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University, 518060, Shenzhen, P. R. China.
Hefei Innovation Research Institute, School of Microelectronics, Beihang University, 230013, Hefei, P. R. China.
Nat Commun. 2021 Oct 13;12(1):5979. doi: 10.1038/s41467-021-26314-8.
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.
叶肧巨动量探测器(LGMD)是一种位于叶肧第三视觉神经节的运动敏感的宽视野视觉神经元。LGMD 神经元能够在碰撞前提前发出峰值信号,从而有效地预测碰撞并触发回避行为。受 LGMD 启发的视觉芯片已成功在超大规模集成电路(VLSI)系统中实现。然而,基于晶体管的芯片和单个器件来模拟 LGMD 神经元使其体积庞大、能效低且复杂。尚未实现具有相对紧凑结构和简单操作模式的器件来模拟 LGMD 神经元的逃避反应。在这里,使用光介导的阈值开关忆阻器来实现人工 LGMD 视觉神经元。对光流场的非单调响应源于 Ag 导电丝的形成和断裂,类似于 LGMD 神经元的逃避反应。此外,还展示了具有避障能力的机器人导航和具有宽视场(FoV)检测能力的仿生复眼。