[Neuroimaging] [ANN] MNE-Python 0.22

[Bertrand Thirion]

Congratulations ! 
Bertrand 

> De: "Alexandre Gramfort" <alexandre.gramfort at inria.fr>
> À: "Neuroimaging analysis in Python" <neuroimaging at python.org>,
> megcommunity at jiscmail.ac.uk, megcommunity at gmail.com, "Discussion and support
> forum for the users of MNE Software" <mne_analysis at nmr.mgh.harvard.edu>
> Envoyé: Jeudi 17 Décembre 2020 22:44:49
> Objet: [Neuroimaging] [ANN] MNE-Python 0.22

> Hello everyone,

> we’re ahead of our typical release cycle and just published MNE-Python 0.22! 🎉
> 🎁 🎅

> Please find a detailed list of changes and contributors below.

> With this year coming to a close, we’d like to take this opportunity to thank
> you all for your continued support, and wish you and your loved ones Happy
> Holidays.

> Stay healthy and take care! 😷

> All the best,

> Your MNE Team.

> A few highlights

> ============

>     *

> The 3D viewer of source time courses based on pyvista can now support picking
> labels from any freesurfer annotation. We highly recommend you now use pyvista
> and not pysurfer/mayavi for STC visualization.
>     *

> Performing ICA is now much simpler for most users: instead of offering 3
> parameters -- n_components, n_pca_components, and max_pca_components -- that
> would interact in often hard-to-understand ways, you can now simply pass a
> single parameter -- n_components -- to mne.preprocessing.ICA and get what you
> want. The n_pca_compoents and max_pca_components parameters have been
> deprecated and will be removed in MNE-Python 0.23. Please also see the “Notable
> API changes” section for details.
>     *

> When plotting ICA sources via .ICA.plot_sources(), right-clicking on a component
> name will open a properties plot (the one you previously had to create using
> ICA.plot_properties()). This makes exploration of ICA data more interactive.
>     *

> Annotations can now be shown and hidden interactively in raw plots using a
> checkbox. Extremely useful for datasets with overlapping Annotations!
>     *

> Source estimates can now be baseline-corrected using their new apply_baseline()
> method.
>     *

> The new function mne.stc_near_sensors() visualizes sEEG and ECoG data.
>     *

> Fiducials can now be estimated when visualizing the coregistration by passing
> mri_fiducials=’estimated’ to mne.viz.plot_alignment().
>     *

> Numerous improvements of volumetric source space support.
>     *

> When cropping the baseline period of baseline-corrected Epochs, the information
> about the original baseline will be preserved to retain provenance.
>     *

> We now offer spatio-spectral decomposition (SSD) via mne.decoding.SSD.
>     *

> New readers: mne.read_evokeds_mff() for averaged MFFs, and
> mne.io.read_raw_boxy() for optical imaging data recorded using ISS Imgagent
> I/II hardware and BOXY recording software.

> Notable API changes

> ================

> We have changed a few things that will require you to adjust your code.

>     *

> The n_pca_components and max_pca_components argument of mne.preprocessing.ICA
> has been deprecated, use n_components during initialization, and
> n_pca_components in ICA.apply() instead.
>     *

> The trans argument of mne.extract_label_time_course() is deprecated and will be
> removed in 0.23 as it is no longer necessary.
>     *

> The parameter event_colors in mne.viz.plot_epochs and mne.Epochs.plot() is
> deprecated, replaced by event_color which is consistent with mne.viz.plot_raw
> and provides greater flexibility.

> Full list of API changes:

> [ https://mne.tools/stable/whats_new.html#api-changes |
> https://mne.tools/stable/whats_new.html#api-changes ]

> Full changelog

> ===========

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

> [ https://mne.tools/stable/whats_new.html#version-0-22-0 |
> https://mne.tools/stable/whats_new.html#version-0-22-0 ]

> Find the full documentation at [ https://mne.tools/stable/index.html |
> https://mne.tools/ ]

> Installing the new release

> ===================

> Since quite a few things – including dependencies – have changed, we recommend
> creating a new environment with a “fresh” installation. Please follow the
> installation instructions on our website:

> [ https://mne.tools/stable/install/mne_python.html |
> https://mne.tools/stable/install/mne_python.html ]

> Feedback

> ========

> As usual, we welcome your bug reports, feature requests, critiques, and
> contributions. Development takes place on GitHub. If you would like to
> contribute, star ⭐ the project, or just take a peek at the code, visit [
> https://github.com/mne-tools/mne-python |
> https://github.com/mne-tools/mne-python ] .

> You may follow us on Twitter: [ https://twitter.com/mne_news |
>  https://twitter.com/mne_news ]

> We hope you will enjoy the new features and many, many small improvements we
> have added, and are looking forward to receiving your feedback.

> Stay safe and take care!

> The MNE-Python developers

> Contributors

> ==========

> MNE-Python is a community-driven project. We are always very happy to welcome
> new contributors of code and documentation! 34 people contributed to this
> release – and a whopping 10 were first-timers! Thank you all so very much for
> your time and effort, we truly appreciate it!

> First-time contributors:

>     *

> Aniket Pradhan
>     *

> Austin Hurst
>     *

> Eduard Ort
>     *

> Evan Hathaway
>     *

> Hongjiang Ye
>     *

> Jeff Stout
>     *

> Jonathan Kuziek
>     *

> Quianliang Li
>     *

> Tod Flak
>     *

> Victoria Peterson

> Recurring contributors:

>     *

> Adam Li
>     *

> Alexandre Gramfort
>     *

> Christian Brodbeck
>     *

> Clemens Brunner
>     *

> Daniel McCloy
>     *

> Denis A. Engemann
>     *

> Eric Larson
>     *

> Evgenii Kalenkovich
>     *

> Fede Raimondo
>     *

> Guillaume Favelier
>     *

> Jean-Remi King
>     *

> Jussi Nurminen
>     *

> Keith Doelling
>     *

> Kyle Mathewson
>     *

> Mads Jensen
>     *

> Mainak Jas
>     *

> Marijn van Vliet
>     *

> Mikolaj Magnuski
>     *

> Olaf Hauk
>     *

> Quianliang Li
>     *

> Richard Höchenberger
>     *

> Robert Luke
>     *

> Stefan Appelhoff
>     *

> Thomas Hartmann

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> Neuroimaging at python.org
> https://mail.python.org/mailman/listinfo/neuroimaging
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