Chunk #60 — 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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In particular, if A = ∇ where ∇ is the gradient operator, then xα(δ)δ = (K*K + α∇ T ∇)-1K*y. If A = ΔB, where Δ is the Laplacian operator, then xα(δ)δ = (K*K + αB*Δ T ΔB)-1K*y.