Cortical Column Modeling

Cortical Column Modeling is a computational neuroscience framework that represents the structural and functional organization of cortical columns—the putative repeating microcircuitry units of the neocortex—by integrating biologically constrained neuron populations, layered connectivity patterns, and emergent dynamics to simulate column-level information processing in large-scale brain models.

63

Publications

4.4K

Citations

171

Authors

102

Institutions

Publications per year

2017–2026

23

Authors

171

  1. KF
    Karl Friston

    University College London, United Kingdom

    3 publications · 156 citations

    3

    h-index

  2. SA
    Samuel A. Neymotin

    SUNY Downstate Health Sciences University, United States

    3 publications · 120 citations

    3

    h-index

  3. AL
    Anders Lansner

    KTH Royal Institute of Technology, Sweden

    3 publications · 136 citations

    3

    h-index

  4. CK
    Christof Koch

    California Institute of Technology, United States

    3 publications · 143 citations

    3

    h-index

  5. WW
    William W. Lytton

    SUNY Downstate Health Sciences University, United States

    3 publications · 120 citations

    3

    h-index

1–5 of 171

Venues

  1. NeuroImage

    7 publications · 377 citations

    7

    h-index

  2. Biological Cybernetics

    5 publications · 1.5K citations

    5

    h-index

  3. PLoS Computational Biology

    4 publications · 191 citations

    4

    h-index

  4. Neural Computation

    3 publications · 84 citations

    3

    h-index

  5. Journal of Neurophysiology

    JN · 2 publications · 50 citations

    2

    h-index

1–5