Eric Larson

Thanks @alexrockhill !

I think we probably want to have `compute_dig_mri_distances(dist_limit=np.inf)` or something by default, and only for some calls do we want to set `coreg.compute_dig_mri_distances(dist_limit=5)` (where any distances > 5mm for non-omitted...

To me this seems very close to what you would get with `add_noise(raw, cov)` for an empty raw and `cov=mne.make_ad_hoc_cov(...)` after some suitable call to `mne.simulation.simulate_raw`. I'd rather extend these...

> Or do you really mean you'd rather not add any new function? I'd rather not add any new function. What you propose seems 90%+ like an existing function. No...

To me I think we should still just make our existing functions better -- so far what you've described @cbrnr is in my mind just a 2- or 3-line wrapper...

I think a clean way to do this would be to allow a user-supplied mask for the high-resolution mesh vertices to consider. Then people can arbitrarily mask points, which could...

@TzionaN I had a brief look and this seems like it's in good shape -- good to go from your end?

@hoechenberger I see you milestoned this for 1.2 but we need to converge and have a volunteer to work on this. I think it's not likely to happen in the...

It sounds like a goal is to make the stats clustering functions more user-friendly. As @drammock points out above, we've had a lot of conversations about this but little progress,...

> Worst case, I could imagine creating a separate, tiny package This seems pretty similar to the idea of putting it in mne-sandbox -- but what is the advantage of...