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Chunk #196 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.4 Shrinking methods and multiresolution methods — S-MAP with iterative focusing

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Review on solving the inverse problem in EEG source analysis.
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where G i is the column-reduced version of G and Θ is a p i ≤ p by N matrix depending on the G i and priors computed from the previous source estimate D^i−1. A similar approach was used in [31] where the source region was contracted several times but at each iteration, LORETA was used to estimate the source tomography.