Bayesian Brain Computation

Bayesian Brain Computation is a theoretical framework within cortical computation that posits the brain performs probabilistic inference by representing and updating beliefs over uncertain states of the world according to Bayesian principles.

89

Publications

12.4K

Citations

299

Authors

166

Institutions

Publications per year

2017–2026

47

Authors

299

  1. KF
    Karl Friston

    University College London, United Kingdom

    6 publications · 2.6K citations

    6

    h-index

  2. KΕ
    Klaas Ε. Stephan

    University College London, United Kingdom

    5 publications · 1.1K citations

    5

    h-index

  3. MJ
    Mehrdad Jazayeri

    McGovern Institute for Brain Research, United States

    4 publications · 308 citations

    4

    h-index

  4. AP
    Alexandre Pouget

    University of Geneva, Switzerland

    3 publications · 2.8K citations

    3

    h-index

  5. CM
    Christoph Mathys

    Institute for Biomedical Engineering, Switzerland

    3 publications · 802 citations

    3

    h-index

1–5 of 299

Venues

  1. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 203 citations

    7

    h-index

  2. NeuroImage

    5 publications · 371 citations

    5

    h-index

  3. PLoS Computational Biology

    4 publications · 413 citations

    4

    h-index

  4. Frontiers in Psychology

    4 publications · 403 citations

    4

    h-index

  5. Frontiers in Psychiatry

    3 publications · 1K citations

    3

    h-index

1–5