Mikolaj Magnuski

> A positive side effect of that would be to not allow additional apply_baseline calls once a tfr has been baseline corrected. Yes, that would be nice!

Before this PR, not dropping channels with undefined position could result in weird plots like this one:  maybe thats an interesting idea for an mne logo, but it does...

Oh, yes, I experienced it too. I think this worked correctly some time ago but I'm not sure.

> One of the key features (at least to me) is pulling out mean amplitude in a user defined time window. Chaining can be useful here too: ```python evoked.copy().crop(tmin=0.09, tmax=0.11).pick_channels(channel_list).data.mean()...

@larsoner Sorry, I won't be able to do this for the next release. But I will have more time in about 1.5 months - then I could help with such...

@cbrnr You could pick any dataset that has information on reaction times - 'epoching' from -x seconds wrt the stimulus onset up to x seconds wrt the reaction time will...

@cbrnr - are you sure about eeglab allowing variable length epochs? If so - this must have changed lately as eeglab always had a requirement of same-length epochs. I was...

I'm a bit torn here - fitting a sphere to all the channels might improve how topomaps look, but then the head outline may loose its objective meaning (z level...

Sure, as an additional option it is good, I am just not sure it should be the default. But you are right that it might be better to take a...

After some time I'd have to agree that it would be good to automatically fit the sphere by default. I have multiple datasets where I have to specify `sphere=...` all...