See mne-tools/mne-python#6262 (comment) :

seeing this in a example I would suggest to add a method Covariance.plot_topomap(info) to display the topomap of diagonal. this would simplify this example a lot

This will hopefully just require some short function in mne/viz/topomap.py. Even using the EvokedArray approach seems okay since it's pretty straigh

Reported by @britta-wstnr by e-mail:

Documenting and taking it from here

1. we just came across some unexpected behavior (helping a student today) with ft_prepare_sourcemodel(). If we warp an MNI template, inwardshift has no effect - is that because that would shift grid points to the wrong positions after warping?

2. We often see problems with not inwardshifted sources when using the ope

"Start recording" button should change its name to "Stop recording" once clicked. This needs to be changed for all MNE Scan plugins which are able to record data, see below.

https://github.com/mne-tools/mne-cpp/blob/0273dc540f2a5597d3317edbf76b6169fab94021/applications/mne_scan/plugins/neuromag/neuromag.cpp#L269

https://github.com/mne-tools/mne-cpp/blob/0273dc540f2a5597d3317edbf76b6169fab940

Hi,

I was wondering if there's a mistake in the FAQ section of the documentation ("Should I apply ICA first or autoreject first?").
According to the MNE docs the reject parameter in ica.fit() only applies to an instance of Raw, not Epochs.
However, here ica.fit() is used with reject on epochs several times, e.g.:

>>> reject = get_rejection_threshold(epochs)
>>> ica.fit(epo

The dialog asking to overwrite the current dataset should be more explicit, i.e. it should mention that the alternative to overwriting is creating a new dataset.

Adding here other lists that either were used to create the list of this repository, or for ideas for this project.

• Martina's list
• Hitchhacker's brain to the universe
• Rémi's list
• [neurolinks](https://brainhack101.github.io/neu

• Should be done automatically by the code
• In the code we should catch right click on a hemi and select the closest ROI (partially done by snap cursor)

I was trying to help someone use alphaCSC and realized that it's not straightforward to understand which class to use when. We are also missing some guidelines how to tweak certain parameters (e.g., which solver to choose?).

Empirically it seems that LGCD is better but it is not possible to use it from learn_d_z. I think this function should be deprecated and either GreedyCDL or `BatchCDL

If we want to ship our conda package with docstrings, we should not make DOT a requrirement since it's not in the conda repositories.

https://github.com/openmeeg/openmeeg/blob/1f780e2fda6b69b7e89dfbe18853406fdef548ee/documentation/reference/CMakeLists.txt#L24

Right now all OS installs of HNN require a git clone. This conflates user installs with developer workflow. It would be nice if the install was a self-executable file for Windows and a .pkg for Mac. The number of binary downloads would be easy to track. Developer code pulls would still be tracked by git clones and upgrades could be tracked by Docker Hub downloads.

I think a screenshot of the current API docs explains the issue best:

This is in a full-screen browser window (Safari).

We want the web-app to automatically generate a method section.

We therefore need to have some template or boilerplate method section with empty placeholders to be filled in by the different options chosen by users when they fill the list.

This requires writing those boilerplate texts for each activity of the checklist.

• This might need identifying which set of items can be grouped tog

Hi Sampsa,

I'd like to try your toolbox,
do you have any tutorials or
any examples guidances for
first steps & examples data.

Thanks Bests regards