[Mne_analysis] identifying insensitive sensor time series for rejection

[Eric Larson]

>
> is there a function/s to test whether a section of the averaged deviant
> time series from one channel (MEG1621 from 10oms to 200ms) is significantly
> greater than zero? The data is baseline corrected, so I presume against
> zero would be the correct comparison.
>

Can you take a look at the statistics examples and tutorials on the website
to see if any of them cover your use case? If not, we should probably add
one.

Also, I just wanted to let you know that subtracting one average() from
> another results in the average of the two rather than one minus the other.
> For example: dev_ave - stand_ave = (dev_ave - stand_ave)/2. I’m not sure if
> this is intentional, or an error in the code for average()?
>

This has come up multiple times before, so we are actually planning to
change this behavior in the next MNE-Python release (0.13):

https://github.com/mne-tools/mne-python/pull/3400

For now, you can use `mne.combine_evoked` (with weights=[1, -1]) to get the
plain subtraction you want.

Eric
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