Trying to understand the lambda2 parameter in mne.minimum_norm.apply_inverse_raw

@drammock yea I also noticed this function. I think that it is suitable for MEG which can collect empty room data, or for ERP analysis as there is usually a pre-stimulus baseline. Do you think it is suitable for resting-state EEG too?

I am hesitating as I notice that there is a thread noise covariance matrix in resting state eeg data - :speech_balloon: Support & Discussions - MNE Forum which the make_ad_hoc_cov was recommended.