Laminar Cortical Processing

Laminar Cortical Processing is a neurocomputational framework that characterizes the hierarchical and directional flow of information across functionally specialized cortical layers within neocortical microcircuits, distinguished by its emphasis on the role of laminar-specific connectivity and cell-type diversity in shaping sensory, motor, and cognitive processing.

171

Publications

16K

Citations

564

Authors

248

Institutions

Publications per year

2017–2026

51

Authors

564

  1. SG
    Stephen Grossberg

    Boston University, United States

    12 publications · 701 citations

    12

    h-index

  2. JA
    Jacob A. Westerberg

    Vanderbilt University, United States

    5 publications · 216 citations

    6

    h-index

  3. KZ
    Karl Zilles

    Heinrich Heine University Düsseldorf, Germany

    5 publications · 256 citations

    5

    h-index

  4. AM
    Alexander Maier

    Vanderbilt University, United States

    5 publications · 216 citations

    5

    h-index

  5. CE
    Charles E. Schroeder

    Nathan Kline Institute for Psychiatric Research, United States

    4 publications · 1.1K citations

    4

    h-index

1–5 of 564

Venues

  1. Journal of Neurophysiology

    JN · 10 publications · 992 citations

    10

    h-index

  2. Experimental Brain Research

    10 publications · 402 citations

    10

    h-index

  3. Brain Research

    10 publications · 1.6K citations

    10

    h-index

  4. NeuroImage

    10 publications · 1.4K citations

    10

    h-index

  5. Journal of Neuroscience

    8 publications · 1.6K citations

    8

    h-index

1–5