Non-Parametric Statistical Thresholding for Sparse Magnetoencephalography Source Reconstructions
نویسندگان
چکیده
منابع مشابه
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 robust to these confounds. In this paper, we address the technical considerations of statistically th...
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ژورنال
عنوان ژورنال: Frontiers in Neuroscience
سال: 2012
ISSN: 1662-4548
DOI: 10.3389/fnins.2012.00186