in the discussion of the effect of subspace projections/regularization/prewhitening I realised that the current dataset has empty room recordings, which may serve perfectly well as 'noise' estimates.
I want to implement optional prewhitening in the existing scripts/functions. This shouldn't be too hard, if things are more or less well organised.
Yet, in working on this, I encountered the not fully finished implementation of vismot_spectral (as compared to vismot_prepost_spectral), where the latter function explicitly handles different numbers of trials (and samples within trials, as a proxy for RT).
I have now built this selection also in vismot_spectral + added the possibility for 'toi' to be 'prepost'.
Also, there is an option prewhiten in place, which uses the emptyroom data (which I have processed using vismot_emptyroom_script)
in the discussion of the effect of subspace projections/regularization/prewhitening I realised that the current dataset has empty room recordings, which may serve perfectly well as 'noise' estimates.
I want to implement optional prewhitening in the existing scripts/functions. This shouldn't be too hard, if things are more or less well organised.
Yet, in working on this, I encountered the not fully finished implementation of vismot_spectral (as compared to vismot_prepost_spectral), where the latter function explicitly handles different numbers of trials (and samples within trials, as a proxy for RT).
I have now built this selection also in vismot_spectral + added the possibility for 'toi' to be 'prepost'.
Also, there is an option prewhiten in place, which uses the emptyroom data (which I have processed using vismot_emptyroom_script)