Feature-based Modulation

Feature-Based Modulation is a cognitive mechanism within the framework of attentional control that selectively enhances the processing of sensory inputs based on specific perceptual features, such as color, orientation, or motion direction, thereby biasing neural competition in favor of task-relevant attributes.

124

Publications

6.9K

Citations

388

Authors

193

Institutions

Publications per year

2017–2026

51

Authors

388

  1. MC
    Marisa Carrasco

    New York University, United States

    6 publications · 432 citations

    6

    h-index

  2. TL
    Taosheng Liu

    Michigan State University, United States

    5 publications · 283 citations

    5

    h-index

  3. JT
    John T. Serences

    University of California San Diego, United States

    5 publications · 720 citations

    5

    h-index

  4. GM
    Geoffrey M. Boynton

    University of Washington, United States

    4 publications · 558 citations

    4

    h-index

  5. MM
    Matthias M. Müller

    Leipzig University, Germany

    3 publications · 199 citations

    3

    h-index

1–5 of 388

Venues

  1. Journal of Vision

    16 publications · 484 citations

    14

    h-index

  2. Journal of Neuroscience

    8 publications · 226 citations

    7

    h-index

  3. Journal of Neurophysiology

    JN · 7 publications · 287 citations

    7

    h-index

  4. arXiv (Cornell University)

    Repository · 5 publications · 131 citations

    5

    h-index

  5. Journal of Cognitive Neuroscience

    5 publications · 310 citations

    5

    h-index

1–5