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

Author

Listed:
  • Yan Wang

    (Institute of Microscale optoelectronics and College of Optoelectronic Engineering, Shenzhen University
    Hefei Innovation Research Institute, School of Microelectronics, Beihang 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)

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.

Suggested Citation

  • Yan Wang & Yue Gong & Shenming Huang & Xuechao Xing & Ziyu Lv & Junjie Wang & Jia-Qin Yang & Guohua Zhang & Ye Zhou & Su-Ting Han, 2021. "Memristor-based biomimetic compound eye for real-time collision detection," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26314-8
    DOI: 10.1038/s41467-021-26314-8
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    References listed on IDEAS

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    4. Xu Luo & Chen Chen & Zixi He & Min Wang & Keyuan Pan & Xuemei Dong & Zifan Li & Bin Liu & Zicheng Zhang & Yueyue Wu & Chaoyi Ban & Rong Chen & Dengfeng Zhang & Kaili Wang & Qiye Wang & Junyue Li & Gan, 2024. "A bionic self-driven retinomorphic eye with ionogel photosynaptic retina," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    5. Koryazhkina, M.N. & Filatov, D.O. & Shishmakova, V.A. & Shenina, M.E. & Belov, A.I. & Antonov, I.N. & Kotomina, V.E. & Mikhaylov, A.N. & Gorshkov, O.N. & Agudov, N.V. & Guarcello, C. & Carollo, A. & S, 2022. "Resistive state relaxation time in ZrO2(Y)-based memristive devices under the influence of external noise," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).

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