Neural Source Localization

Neural Source Localization is a computational method in neural signal processing that identifies the spatial origins of electrical or magnetic brain activity measured by neuroimaging techniques by solving the inverse problem through mathematical modeling and source estimation.

1.2K

Publications

112K

Citations

3.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

206

Variants

Brain Source Localization

Authors

3.3K

  1. MH
    Matti Hämäläinen

    Athinoula A. Martinos Center for Biomedical Imaging, United States

    27 publications · 7.9K citations

    22

    h-index

  2. KS
    Kensuke Sekihara

    University of California, San Francisco, United States

    29 publications · 2.3K citations

    20

    h-index

  3. JC
    John C. Mosher

    Cleveland Clinic, United States

    27 publications · 10.3K citations

    20

    h-index

  4. SS
    Srikantan S. Nagarajan

    University of California, San Francisco, United States

    27 publications · 2.3K citations

    20

    h-index

  5. RM
    Richard M. Leahy

    University of Southern California, United States

    27 publications · 10.2K citations

    20

    h-index

1–5 of 3.3K

Venues

  1. NeuroImage

    160 publications · 15K citations

    71

    h-index

  2. IEEE Transactions on Biomedical Engineering

    114 publications · 13.6K citations

    52

    h-index

  3. Human Brain Mapping

    63 publications · 5.5K citations

    39

    h-index

  4. 34

    h-index

  5. Brain Topography

    57 publications · 4.4K citations

    34

    h-index

1–5