Neural Connectivity Modeling

Neural Connectivity Modeling is a computational framework that characterizes the structural and functional relationships between neurons or neural populations within a nervous system, distinguishing itself by explicitly representing the topology and strength of inter-neuronal interactions.

200

Publications

11.7K

Citations

780

Authors

402

Institutions

Publications per year

2017–2026

76

Authors

780

  1. AR
    Anthony R. McIntosh

    Baycrest Hospital, Canada

    5 publications · 377 citations

    5

    h-index

  2. AM
    Abigail Morrison

    Jülich Aachen Research Alliance, Germany

    4 publications · 287 citations

    4

    h-index

  3. GD
    Gustavo Deco

    Universitat Pompeu Fabra, Spain

    4 publications · 258 citations

    4

    h-index

  4. LA
    Laura Astolfi

    Sapienza University of Rome, Italy

    3 publications · 146 citations

    3

    h-index

  5. HL
    Hualou Liang

    Drexel University, United States

    3 publications · 99 citations

    3

    h-index

1–5 of 780

Venues

  1. NeuroImage

    17 publications · 1.3K citations

    15

    h-index

  2. Human Brain Mapping

    8 publications · 1.2K citations

    8

    h-index

  3. PLoS Computational Biology

    7 publications · 315 citations

    7

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 115 citations

    6

    h-index

  5. PLoS ONE

    5 publications · 286 citations

    5

    h-index

1–5