mne-python
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Three level mixed norm inverse solutions
Is mixed norm L212 source localisation i.e. optimising for spatially distinct, sparse solutions across multiple experimental conditions (described in Gramfort et al, 2012) implemented in MNE yet?
no I never ported this to Python sorry
Message ID: @.***>
Ok, maybe a naive question, but could this be implemented straightforwardly within the existing Block Coordinate Descent algorithm by swapping out the L21 proximal operator with the L212 proximal operator, and also for the duality gap calculation?