Neural Interface Stability

Neural Interface Stability is a technical construct in the field of neural engineering that denotes the capacity of a neural interface to maintain consistent, reliable, and durable performance over time in recording or modulating neural activity under physiological conditions.

18

Publications

1.2K

Citations

92

Authors

41

Institutions

Publications per year

2017–2026

8

Authors

92

  1. RR
    Reid R. Harrison

    University of Utah, United States

    2 publications · 59 citations

    2

    h-index

  2. LR
    Loren Rieth

    University of Utah, United States

    2 publications · 59 citations

    2

    h-index

  3. ZL
    Zhiqiang Luo

    Huazhong University of Science and Technology, China

    2 publications · 183 citations

    2

    h-index

  4. DR
    Daryl R. Kipke

    University of Michigan, United States

    2 publications · 157 citations

    2

    h-index

  5. MY
    Ming Yang

    Huazhong University of Science and Technology, China

    2 publications · 183 citations

    2

    h-index

1–5 of 92

Venues

  1. Journal of Neural Engineering

    2 publications · 211 citations

    2

    h-index

  2. Nature Communications

    2 publications · 145 citations

    2

    h-index

  3. Nature Biomedical Engineering

    1 publications · 231 citations

    1

    h-index

  4. Frontiers in Neuroscience

    1 publications · 18 citations

    1

    h-index

  5. Bioelectronics in Medicine

    1 publications · 12 citations

    1

    h-index

1–5