Fixation Control Networks

Fixation Control Networks is a computational framework that models the neural mechanisms underlying the maintenance and adjustment of visual fixation by integrating top-down cognitive signals with bottom-up sensory inputs to regulate oculomotor stability and transient reorienting.

6

Publications

722

Citations

12

Authors

6

Institutions

Publications per year

2017–2026

0

Authors

12

  1. AB
    André Bergeron

    McGill University, Canada

    1 publications · 35 citations

    1

    h-index

  2. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    1 publications · 17 citations

    1

    h-index

  3. JD
    J. de Bie

    University of Bologna, Italy

    1 publications · 10 citations

    1

    h-index

  4. WR
    W. Reichardt

    Max Planck Institute for Biological Cybernetics, Germany

    1 publications · 24 citations

    1

    h-index

  5. DP
    Douglas P. Munoz

    Queen's University, Canada

    1 publications · 600 citations

    1

    h-index

1–5 of 12

Venues

  1. Vision Research

    2 publications · 46 citations

    2

    h-index

  2. Journal of Neurophysiology

    JN · 1 publications · 600 citations

    1

    h-index

  3. Nature Neuroscience

    1 publications · 35 citations

    1

    h-index

  4. Biological Cybernetics

    1 publications · 24 citations

    1

    h-index

1–4