Neural Gain Modulation

Neural Gain Modulation is a neurophysiological mechanism that selectively amplifies or attenuates the responsiveness of neural populations to sensory inputs, thereby regulating the signal-to-noise ratio in attentional filtering processes.

154

Publications

15.5K

Citations

537

Authors

267

Institutions

Publications per year

2017–2026

52

Authors

537

  1. KF
    Karl Friston

    University College London, United Kingdom

    5 publications · 1.2K citations

    5

    h-index

  2. ES
    Emilio Salinas

    Wake Forest University, United States

    4 publications · 563 citations

    4

    h-index

  3. JD
    Jonathan D. Cohen

    Princeton University, United States

    4 publications · 593 citations

    4

    h-index

  4. LF
    L. F. Abbott

    Columbia University, United States

    4 publications · 1.5K citations

    4

    h-index

  5. EE
    Eran Eldar

    University College London, United Kingdom

    4 publications · 593 citations

    4

    h-index

1–5 of 537

Venues

  1. Journal of Neuroscience

    24 publications · 2.1K citations

    20

    h-index

  2. Journal of Neurophysiology

    JN · 12 publications · 784 citations

    12

    h-index

  3. PLoS Computational Biology

    10 publications · 485 citations

    10

    h-index

  4. eLife

    7 publications · 639 citations

    7

    h-index

  5. Nature Communications

    7 publications · 939 citations

    7

    h-index

1–5