Adam Li

> Is there a replication we can do from one of these papers with real data available to make sure it works properly? Yep, I have these in the form...

Some additional niceties that can come about: This can be useful for: 1. repairing short time Epochs: fit A matrix before this Epoch, fit backwards operator after this Epoch, and...

> Maybe it would be easier to start with the `A` matrix being returned and plan to iterate on having it be an internal variable once there are more functions...

To bring this under a statistical framework and treat "repairing" of Epochs as a regression problem for out-of-sample using the "not-noisy" epochs as our training data, we can also see...

https://www.dropbox.com/sh/bsufh5npukzqe59/AAC4G3RilD-sSA3jH1SL_qhpa?dl=0

Related to just this PR, we simply want to expose tutorial of how to compute such things and how they might be useful in EEG/MEG/iEEG type analyses. As noted above,...

Btw @alexrockhill spoke with @agramfort and he's opposed to adding this type of functionality into MNE-python. He thinks that it might be useful for a sub-group of us to try...

Additional notes, so I dont' forget: ask all people in scot/new connectivity indexes about forming into something like `mne-connectivity`, or outside the mne.tools even - separate package - see where...

Yeah sure! You can include it as an optional Dev dependency. Do you know where to add? Please also add a comment if you can that we replace it later...

> > Yeah sure! You can include it as an optional Dev dependency. Do you know where to add? Please also add a comment if you can that we replace...