Neural Selectivity

Neural Selectivity is a neurophysiological principle that refers to the capacity of a neural interface or stimulation protocol to target and modulate specific neuronal populations or pathways with precision, differentiating them from adjacent or functionally distinct neural elements.

212

Publications

19.1K

Citations

687

Authors

314

Institutions

Publications per year

2017–2026

64

Authors

687

  1. JJ
    James J. DiCarlo

    McGovern Institute for Brain Research, United States

    5 publications · 718 citations

    5

    h-index

  2. SO
    Scott O. Murray

    University of Washington, United States

    4 publications · 639 citations

    4

    h-index

  3. ZM
    Zoltan M. Fuzessery

    University of Wyoming, United States

    4 publications · 265 citations

    4

    h-index

  4. RQ
    Rodrigo Quian Quiroga

    University of Leicester, United Kingdom

    4 publications · 706 citations

    4

    h-index

  5. BJ
    Bharathi Jagadeesh

    University of Washington, United States

    4 publications · 127 citations

    4

    h-index

1–5 of 687

Venues

  1. Journal of Neuroscience

    42 publications · 6.7K citations

    34

    h-index

  2. Journal of Neurophysiology

    JN · 26 publications · 1.5K citations

    17

    h-index

  3. NeuroImage

    10 publications · 1.1K citations

    10

    h-index

  4. Neuron

    8 publications · 1.2K citations

    8

    h-index

  5. Cerebral Cortex

    8 publications · 482 citations

    8

    h-index

1–5