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Non-Parametric Statistical Thresholding for Sparse Magnetoencephalography Source Reconstructions
Uncovering brain activity from magnetoencephalography (MEG) data requires solving an ill-posed inverse problem, greatly confounded by noise, interference, and correlated sources. Sparse reconstruction algorithms, such as Champagne, show great promise in that they provide focal brain activations robu...
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| Päätekijät: | , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2012
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3530032/ https://ncbi.nlm.nih.gov/pubmed/23271990 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2012.00186 |
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