Derives unbiased multi-source neural activity indices forming the localization stage of a two-stage spatial-filtering framework for the EEG/MEG inverse problem, with open-source MNE-Python implementation.
Kimura, The asymmetry of the human brain, Scientific American 228 (3) (1973) 70–80
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Multi-Source Neural Activity Indices for EEG/MEG Localization: A Two-Stage Spatial Filtering Framework and Extension to MNE-Python
Derives unbiased multi-source neural activity indices forming the localization stage of a two-stage spatial-filtering framework for the EEG/MEG inverse problem, with open-source MNE-Python implementation.