Morphology-dependent Computation

Morphology-Dependent Computation is a computational principle in which the specific structural form of neuronal dendritic arbors functionally constrains and actively shapes information processing dynamics, distinguishing it from models that treat neural computation as abstract or structure-independent.

23

Publications

1.4K

Citations

75

Authors

61

Institutions

Publications per year

2017–2026

7

Authors

75

  1. ML
    Max Lungarella

    The University of Tokyo, Japan

    2 publications · 71 citations

    2

    h-index

  2. LB
    Luc Berthouze

    University of Sussex, United Kingdom

    2 publications · 71 citations

    2

    h-index

  3. OB
    Omri Barak

    Technion – Israel Institute of Technology, Israel

    1 publications · 67 citations

    1

    h-index

  4. HB
    Hadas Benisty

    Technion – Israel Institute of Technology, Israel

    1 publications · 67 citations

    1

    h-index

  5. ES
    Erez Simony

    Princeton University, United States

    1 publications · 101 citations

    1

    h-index

1–5 of 75

Venues

  1. Entropy

    3 publications · 114 citations

    3

    h-index

  2. Journal of Neuroscience Methods

    2 publications · 76 citations

    2

    h-index

  3. Adaptive Behavior

    2 publications · 71 citations

    2

    h-index

  4. Artificial Life

    1 publications · 186 citations

    1

    h-index

  5. Bioinspiration & Biomimetics

    1 publications · 24 citations

    1

    h-index

1–5