[Neuroimaging] [ANN] MNE-Python 0.22
JB Poline
jbpoline at gmail.com
Thu Dec 17 22:47:26 EST 2020
Ditto !!!
JB
On Thu, Dec 17, 2020 at 4:49 PM Bertrand Thirion <bertrand.thirion at inria.fr>
wrote:
> 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
>
>
> Full changelog
>
> ===========
>
> For a full list of improvements and API changes, see:
>
> https://mne.tools/stable/whats_new.html#version-0-22-0
>
> Find the full documentation at https://mne.tools/
> <https://mne.tools/stable/index.html>
>
> 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
>
> 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.
>
> You may follow us on Twitter: 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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> https://mail.python.org/mailman/listinfo/neuroimaging
>
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>
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