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Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics

Author

Listed:
  • Huanhuan Wei

    (Nankai University)

  • Rongchao Shi

    (Nankai University)

  • Lin Sun

    (Nankai University)

  • Haiyang Yu

    (Nankai University)

  • Jiangdong Gong

    (Nankai University)

  • Chao Liu

    (Nankai University)

  • Zhipeng Xu

    (Nankai University)

  • Yao Ni

    (Nankai University)

  • Jialiang Xu

    (Nankai University)

  • Wentao Xu

    (Nankai University)

Abstract

A graphdiyne-based artificial synapse (GAS), exhibiting intrinsic short-term plasticity, has been proposed to mimic biological signal transmission behavior. The impulse response of the GAS has been reduced to several millivolts with competitive femtowatt-level consumption, exceeding the biological level by orders of magnitude. Most importantly, the GAS is capable of parallelly processing signals transmitted from multiple pre-neurons and therefore realizing dynamic logic and spatiotemporal rules. It is also found that the GAS is thermally stable (at 353 K) and environmentally stable (in a relative humidity up to 35%). Our artificial efferent nerve, connecting the GAS with artificial muscles, has been demonstrated to complete the information integration of pre-neurons and the information output of motor neurons, which is advantageous for coalescing multiple sensory feedbacks and reacting to events. Our synaptic element has potential applications in bioinspired peripheral nervous systems of soft electronics, neurorobotics, and biohybrid systems of brain–computer interfaces.

Suggested Citation

  • Huanhuan Wei & Rongchao Shi & Lin Sun & Haiyang Yu & Jiangdong Gong & Chao Liu & Zhipeng Xu & Yao Ni & Jialiang Xu & Wentao Xu, 2021. "Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21319-9
    DOI: 10.1038/s41467-021-21319-9
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