Reward Adaptation

Reward Adaptation is a theoretical construct in reward processing that characterizes the dynamic recalibration of reward sensitivity in response to changes in environmental reward statistics, distinguishing itself from static reward representations by its emphasis on adaptive, context-dependent neural and cognitive adjustments.

110

Publications

7.8K

Citations

356

Authors

180

Institutions

Publications per year

2017–2026

39

Authors

356

  1. WS
    Wolfram Schultz

    University of Cambridge, United Kingdom

    8 publications · 2K citations

    8

    h-index

  2. RJ
    Raymond J. Dolan

    University College London, United Kingdom

    7 publications · 422 citations

    7

    h-index

  3. PN
    Philippe N. Tobler

    University of Zurich, Switzerland

    5 publications · 1.4K citations

    5

    h-index

  4. ES
    Erich Seifritz

    University of Zurich, Switzerland

    3 publications · 89 citations

    3

    h-index

  5. JA
    J. A. Deutsch

    University of California San Diego, United States

    3 publications · 69 citations

    3

    h-index

1–5 of 356

Venues

  1. Journal of Neuroscience

    16 publications · 1.2K citations

    16

    h-index

  2. Journal of Neurophysiology

    JN · 7 publications · 455 citations

    7

    h-index

  3. Behavioural Processes

    4 publications · 81 citations

    4

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 523 citations

    4

    h-index

  5. Science Advances

    3 publications · 79 citations

    3

    h-index

1–5