Brain Activity Mapping from MEG Data via a Hierarchical Bayesian Algorithm with Automatic Depth Weighting
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DOI: 10.1007/s10548-018-0670-7
Abstract: A recently proposed iterated alternating sequential (IAS) MEG inverse solver algorithm, based on the coupling of a hierarchical Bayesian model with computationally efficient Krylov subspace linear solver, has been shown to perform well for both… read more here.
Keywords: algorithm; hierarchical bayesian; meg inverse; brain ... See more keywords