[Neuroimaging] [ANN] MNE-Python 0.20
bthirion
bertrand.thirion at inria.fr
Sat Mar 28 04:59:22 EDT 2020
Congratulations for all the plotting improvements.
B
On 28/03/2020 09:47, Alexandre Gramfort wrote:
>
> 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
> <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
> <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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