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Chunk #101 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.1 The Bayesian framework — Minimum norm estimates (MNE)

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Review on solving the inverse problem in EEG source analysis.
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A more general minimum-norm inverse solution assumes that both the noise vector n and the dipole strength D are normally distributed with zero mean and their covariance matrices are proportional to the identity matrix and are denoted by C and R respectively. The inverse solution is given in [14]: