[Neuroimaging] ANN MNE-Python 1.2 is out

[Alexandre Gramfort]

Yesterday we released MNE-Python version 1.2, available now on PyPI
<https://pypi.org/project/mne/1.2.0/> and conda-forge.

This release includes contributions from 30 contributors including *11
first-time contributors*: Andrew Quinn, Chetan Gohil, Daniel Carlström
Schad, Dominik Wetzel, Hüseyin Orkun Elmas, Julius Welzel, Mats van Es,
Moritz Gerster, Sebastiaan Mathot, Sena Er, and luzpaz. Thanks all!

Notable changes:

   -

   new option to compute forward solutions using symmetric BEM method via
   OpenMEEG <https://openmeeg.github.io/>
   -

   new classes Spectrum and EpochsSpectrum created via new methods
   Raw.compute_psd(), Epochs.compute_psd(), and Evoked.compute_psd(). These
   replace the functions psd_welch() and psd_multitaper() which are now
   deprecated.
   -

   new method for ICA objects: get_explained_variance_ratio()
   -

   cross-talk and point-spread can now be computed for vector and
   volume-vector source estimates
   -

   new class EOGRegression and corresponding example
   <https://mne.tools/stable/auto_examples/preprocessing/eog_regression.html>
   -

   common average referencing is now possible with ECoG, sEEG, and DBS data
   -

   parameter standardization for functions and methods that generate
   topomaps. Most prominently, colormap limits vmin and vmax are replaced
   by a tuple vlim, and the title parameter is deprecated (use matplotlib’s
   ax.set_title() or fig.suptitle() instead).
   -

   new channel types temperature and gsr (galvanic skin response)

The full changelog is available here
<https://mne.tools/dev/whats_new.html#version-1-2-0-2022-10-11>.

As always, please feel free to ask usage questions here on our Discourse
forum or during bi-weekly office hours on our Discord server
<https://discord.gg/rKfvxTuATa>, and report bugs and feature requests on our
 GitHub repository
<https://github.com/mne-tools/mne-python/issues/new/choose>.

--

Alex
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