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Chunk #80 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.1 The Bayesian framework — Regularization methods

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Review on solving the inverse problem in EEG source analysis.
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The regularization parameter as estimated by the Composite Residual and Smoothing Operator (CRESO) [23,24] is that which maximizes the derivative of the difference between the residual norm and the semi-norm i.e. the derivative of B(α):