A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem

A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem

Magnetoencephalography (MEG) is an important non-invasive method for studying activity within the human brain. Source localization methods can be used to estimate spatiotemporal activity from MEG measurements with high temporal resolution, but the spatial resolution of these estimates is poor due to...

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Bibliographic Details
Main Authors: Babadi, Behtash (Contributor), Obregon-Henao, Gabriel (Author), Lamus, Camilo (Contributor), Brown, Emery N. (Contributor), Hamalainen, Matti S. (Contributor), Purdon, Patrick Lee (Contributor)
Other Authors: Institute for Medical Engineering and Science (Contributor), Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor)
Format: Article
Language:English
Published: Elsevier, 2016-05-02T13:34:09Z.
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