[Neuroimaging] [ANN] MNE-Python 0.20

[Alexandre Gramfort]

Hi,

First we hope that you’re safe in these troubled times.

We are pleased to announce the new 0.20 release of MNE-Python (
https://mne.tools/ <https://mne.tools/stable/index.html>)

A few highlights

============

   -

   PyVista 0.24 is now available for 3D plotting (alternative to mayavi).
   This is a big step forward for source space data visualization that allows
   users to explore time interactively, pick vertices to view their time
   activation courses, (auto-)adjust color scales, etc. To use it, `pip
   install -U pyvista` and then in your Python script do
   `mne.viz.set_3d_backend(‘pyvista’)`. You should then be good to go: Simply
   plot your source-time course data via stc.plot(), and the improved
   interface should open automatically!
   -

   Automatic estimation of head motion from cHPI MEG coils in the mne.chpi
   namespace.
   -

   Automatic detection of bad (flat or overly noisy) MEG channels via the
   new find_bad_channels_maxwell function
   -

   New topography plotting code to take into account head position and deal
   properly with channel subsets
   -

   New function and tutorial for estimating source-power from covariance
   matrices using MNE (as commonly done with a beamformer).
   -

   Extensive improvements to the narrative documentation
   https://mne.tools/stable/auto_tutorials/index.html


Notable API changes

================

   -

   Sensors shown in relationship to a head circle, as in topomap plotting,
   are now systematically converted from their given physical locations. Using
   a static layout (such as those typically used with topo plots) has been
   deprecated.


For a full list of improvements and API changes, see:

https://mne.tools/stable/whats_new.html#version-0-20

To install the latest release the following command should do the job:

pip install --upgrade --user mne

As usual we welcome your bug reports, feature requests, critiques, and

contributions.

Some links:

- https://github.com/mne-tools/mne-python (code + readme on how to install)

- <http://martinos.org/mne/stable/>https://mne.tools/
<https://mne.tools/stable/index.html> (full MNE documentation)

Follow us on Twitter: https://twitter.com/mne_news

Stay safe and take care !

Regards,

The MNE-Python developers

People who contributed to this release (in alphabetical order):


   -

   Adam Li
   -

   Adonay Nunes
   -

   Alex Rockhill
   -

   Alexandre Gramfort
   -

   Ariel Rokem
   -

   Britta Westner
   -

   Carlos de la Torre
   -

   Christian Brodbeck
   -

   Christian O’Reilly
   -

   Chun-Hui Li
   -

   Clemens Brunner
   -

   Daniel McCloy
   -

   Demetres Kostas
   -

   Denis A. Engemann
   -

   Dmitrii Altukhov
   -

   Dominik Welke
   -

   Eric Larson
   -

   Ezequiel Mikulan
   -

   Fahimeh Mamashli
   -

   Fede Raimondo
   -

   Fu-Te Wong
   -

   Geoff Brookshire
   -

   Guillaume Favelier
   -

   Henrich Kolkhorst
   -

   Joan Massich
   -

   José C. García Alanis
   -

   Jussi Nurminen
   -

   Kaisu Lankinen
   -

   Luke Bloy
   -

   Mainak Jas
   -

   Marijn van Vliet
   -

   Mathurin Massias
   -

   Mikolaj Magnuski
   -

   Mohamed Sherif
   -

   Mohammad Daneshzand
   -

   Nataliia Kozhemiako
   -

   Nicolas Barascud
   -

   Nicolas Legrand
   -

   Olaf Hauk
   -

   Padma Sundaram
   -

   Ramiro Gatti
   -

   Richard Höchenberger
   -

   Robert Luke
   -

   Robert Oostenveld
   -

   Sebastian Major
   -

   Sophie Herbst
   -

   Stefan Appelhoff
   -

   Stefan Repplinger
   -

   Thomas Hartmann
   -

   Victor Férat
   -

   Yu-Han Luo
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