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Self-sustained green neuromorphic interfaces

Author

Listed:
  • Tianda Fu

    (University of Massachusetts)

  • Xiaomeng Liu

    (University of Massachusetts)

  • Shuai Fu

    (University of Massachusetts)

  • Trevor Woodard

    (University of Massachusetts)

  • Hongyan Gao

    (University of Massachusetts)

  • Derek R. Lovley

    (University of Massachusetts
    Institute for Applied Life Sciences (IALS), University of Massachusetts)

  • Jun Yao

    (University of Massachusetts
    Institute for Applied Life Sciences (IALS), University of Massachusetts
    University of Massachusetts)

Abstract

Incorporating neuromorphic electronics in bioelectronic interfaces can provide intelligent responsiveness to environments. However, the signal mismatch between the environmental stimuli and driving amplitude in neuromorphic devices has limited the functional versatility and energy sustainability. Here we demonstrate multifunctional, self-sustained neuromorphic interfaces by achieving signal matching at the biological level. The advances rely on the unique properties of microbially produced protein nanowires, which enable both bio-amplitude (e.g.,

Suggested Citation

  • Tianda Fu & Xiaomeng Liu & Shuai Fu & Trevor Woodard & Hongyan Gao & Derek R. Lovley & Jun Yao, 2021. "Self-sustained green neuromorphic interfaces," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23744-2
    DOI: 10.1038/s41467-021-23744-2
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    Cited by:

    1. Giovanni Maria Matrone & Eveline R. W. Doremaele & Abhijith Surendran & Zachary Laswick & Sophie Griggs & Gang Ye & Iain McCulloch & Francesca Santoro & Jonathan Rivnay & Yoeri Burgt, 2024. "A modular organic neuromorphic spiking circuit for retina-inspired sensory coding and neurotransmitter-mediated neural pathways," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Yang Gao & Yuchen Zhou & Xudong Ji & Austin J. Graham & Christopher M. Dundas & Ismar E. Miniel Mahfoud & Bailey M. Tibbett & Benjamin Tan & Gina Partipilo & Ananth Dodabalapur & Jonathan Rivnay & Ben, 2024. "A hybrid transistor with transcriptionally controlled computation and plasticity," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    3. Tianyu Wang & Jialin Meng & Xufeng Zhou & Yue Liu & Zhenyu He & Qi Han & Qingxuan Li & Jiajie Yu & Zhenhai Li & Yongkai Liu & Hao Zhu & Qingqing Sun & David Wei Zhang & Peining Chen & Huisheng Peng & , 2022. "Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    4. Xiaomeng Liu & Toshiyuki Ueki & Hongyan Gao & Trevor L. Woodard & Kelly P. Nevin & Tianda Fu & Shuai Fu & Lu Sun & Derek R. Lovley & Jun Yao, 2022. "Microbial biofilms for electricity generation from water evaporation and power to wearables," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

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