Neural Field Models

Neural Field Models is a mathematical framework within neural modeling that describes the spatiotemporal dynamics of neural activity across continuous brain tissues by modeling synaptic interactions and population firing rates in a continuum limit.

380

Publications

22.4K

Citations

795

Authors

386

Institutions

Publications per year

2017–2026

116

Authors

795

  1. PA
    P. A. Robinson

    The University of Sydney, Australia

    24 publications · 923 citations

    18

    h-index

  2. SC
    Stephen Coombes

    University of Nottingham, United Kingdom

    15 publications · 749 citations

    15

    h-index

  3. JP
    John P. Spencer

    University of Iowa, United States

    13 publications · 573 citations

    13

    h-index

  4. AH
    Axel Hutt

    Institut national de recherche en sciences et technologies du numérique, France

    16 publications · 848 citations

    13

    h-index

  5. PC
    Paul C. Bressloff

    University of Utah, United States

    13 publications · 946 citations

    12

    h-index

1–5 of 795

Venues

  1. Physica D Nonlinear Phenomena

    18 publications · 954 citations

    17

    h-index

  2. NeuroImage

    17 publications · 1.2K citations

    17

    h-index

  3. Physical Review E

    PRE · 13 publications · 628 citations

    13

    h-index

  4. SIAM Journal on Applied Dynamical Systems

    SIADS · 13 publications · 709 citations

    12

    h-index

  5. Frontiers in Computational Neuroscience

    14 publications · 615 citations

    12

    h-index

1–5