Neural Mass Models

Neural Mass Models is a type of mathematical framework in computational neuroscience that models the average electrical activity of large populations of neurons by describing their collective dynamics through mean-field approximations, distinguishing it from single-neuron or detailed network models by focusing on macroscopic, population-level behavior.

220

Publications

12.8K

Citations

712

Authors

380

Institutions

Publications per year

2017–2026

103

Authors

712

  1. KF
    Karl Friston

    University College London, United Kingdom

    24 publications · 3.3K citations

    22

    h-index

  2. MU
    Mauro Ursino

    University of Bologna, Italy

    13 publications · 661 citations

    12

    h-index

  3. VJ
    Viktor Jirsa

    Institut de Neurosciences des Systèmes, France

    12 publications · 984 citations

    12

    h-index

  4. DR
    Dean R. Freestone

    The University of Melbourne, Australia

    8 publications · 306 citations

    8

    h-index

  5. DA
    Dimitris A. Pinotsis

    Wellcome Centre for Human Neuroimaging, United Kingdom

    8 publications · 669 citations

    8

    h-index

1–5 of 712

Venues

  1. NeuroImage

    41 publications · 4.4K citations

    32

    h-index

  2. PLoS Computational Biology

    21 publications · 1.2K citations

    18

    h-index

  3. Frontiers in Computational Neuroscience

    17 publications · 987 citations

    14

    h-index

  4. PLoS ONE

    6 publications · 167 citations

    6

    h-index

  5. 6

    h-index

1–5