Feedback-dependent Learning

Feedback-Dependent Learning is a type of perceptual learning mechanism that relies explicitly on external or internal performance evaluations to guide and refine sensory discrimination improvements, distinguishing it from unsupervised or reinforcement-independent learning processes.

180

Publications

10.6K

Citations

537

Authors

273

Institutions

Publications per year

2017–2026

29

Authors

537

  1. WT
    W. Todd Maddox

    The University of Texas at Austin, United States

    9 publications · 551 citations

    9

    h-index

  2. ZL
    Zhong‐Lin Lu

    University of Southern California, United States

    6 publications · 350 citations

    6

    h-index

  3. BA
    Barbara Anne Dosher

    University of California, Irvine, United States

    6 publications · 350 citations

    6

    h-index

  4. MA
    Mark A. Gluck

    Rutgers, The State University of New Jersey, United States

    4 publications · 127 citations

    4

    h-index

  5. CE
    Catherine E. Myers

    Rutgers, The State University of New Jersey, United States

    4 publications · 127 citations

    4

    h-index

1–5 of 537

Venues

  1. Vision Research

    8 publications · 640 citations

    8

    h-index

  2. 8

    h-index

  3. Organizational Behavior and Human Performance

    7 publications · 432 citations

    7

    h-index

  4. Journal of Neuroscience

    6 publications · 948 citations

    6

    h-index

  5. Journal of Vision

    6 publications · 327 citations

    6

    h-index

1–5