Chunk #108 — 3 Inverse solutions — 3.1 Non parametric optimization methods — 3.1.1 The Bayesian framework — Weighted minimum norm estimates (WMNE)

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Review on solving the inverse problem in EEG source analysis.

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W can have different forms but the simplest one is based on the norm of the columns of the matrix G: W = Ω ⊗ I3, where ⊗ denotes the Kronecker product and Ω is a diagonal p × p matrix with Ωββ=∑α=1Ng(rα,rdipβ)⋅g(rα,rdipβ)T, for β = 1, ..., p.