https://www.selleckchem.com/pr....oducts/Amprenavir-(A
5 mm while competing methods make an error ≥7 mm. Experiments on EEG datasets show that SMICA identifies a source subspace which contains sources that have less pairwise mutual information, and are better explained by the projection of a single dipole on the scalp. With 10 sources, the number of strongly dipolar sources (dipolarity 90%) is more than 80% for SMICA while competing methods do not exceed 65%. With the noisy model of SMICA, the number of sources to be recovered is controlled by choosing the size of the mix
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