Wireless Neural Interfaces

Wireless Neural Interface is a type of neural interface that enables bidirectional communication between the nervous system and external devices through wireless transmission of neural signals, eliminating the need for physical tethers while maintaining high-fidelity data transfer and device control.

142

Publications

8K

Citations

663

Authors

207

Institutions

Publications per year

2017–2026

58

Authors

663

  1. MG
    Maysam Ghovanloo

    Georgia Institute of Technology, United States

    13 publications · 1.1K citations

    13

    h-index

  2. FS
    Florian Solzbacher

    University of Utah, United States

    13 publications · 739 citations

    12

    h-index

  3. RR
    Reid R. Harrison

    University of Utah, United States

    10 publications · 317 citations

    10

    h-index

  4. SK
    Sohee Kim

    Gwangju Institute of Science and Technology, South Korea

    8 publications · 547 citations

    8

    h-index

  5. PT
    Prashant Tathireddy

    University of Utah, United States

    8 publications · 615 citations

    8

    h-index

1–5 of 663

Venues

  1. 13

    h-index

  2. Journal of Neural Engineering

    6 publications · 209 citations

    6

    h-index

  3. IEEE Transactions on Biomedical Engineering

    6 publications · 366 citations

    6

    h-index

  4. IEEE Journal of Solid-State Circuits

    4 publications · 549 citations

    4

    h-index

  5. Proceedings of the IEEE

    3 publications · 723 citations

    3

    h-index

1–5