[Mne_analysis] [MNE_analysis] [ANN] MNE-Python 0.18

[Alexandre Gramfort]

        External Email - Use Caution        

congrats everyone for the great team effort !

Alex

On Tue, May 21, 2019 at 8:05 PM Sik <mailsik at gmail.com> wrote:
>
>         External Email - Use Caution
>
> Dear community!
>
> We are very pleased to announce the new 0.18 release of MNE-Python (http://martinos.org/mne/stable/).
>
> A few highlights
> ================
>
> - Python 2 is no longer supported; MNE-Python now requires Python 3.5+
> - New tutorials and examples on sleep stage classification, data simulation using subject's anatomy, how to use EEG montages on fsaverage
> - New module to simulate SourceEstimates
> - Improved performance using CUDA, better copy management, better dispatching of the computation over the channels
> - New fetchers for polysomnography (PSG) recordings from Physionet and fsaverage template
> - Better support for source reconstruction with beamformers and other inverse models
> - Improved UI and visualizations for topomaps, Raw and Epochs objects
> - Better support for Annotations
> - Support to compute power envelope correlations on brain parcellation for rest data
> - Better rendering of the coregistration
> - Added partial support for PyVista as a 3D backend that can replace mayavi
> - Added support for Raw, Epochs and Evoked noise simulation
> - Added new parcellation (448-labels subdivided aparc) and improve support including morphing of the labels
> - Better support for the TFR objects
>
> And we caught and fixed more than 50 bugs!
>
> Notable API changes
> ===================
>
> - Deprecation of `mne.realtime` module to become entire project in the MNE echosystem
> - Deprecation of `mne.io.find_edf_events`, `raw.estimate_rank`
> - Reading BDF and GDF files with `mne.io.read_raw_edf` is deprecated and replaced by `mne.io.read_raw_bdf` and `mne.io.read_raw_gdf`
> - The signatures of `mne.preprocessing.ICA`, `mne.simulation.add_noise` and `mne.simulation.add_chpi` have changed
> - Added overwrite parameter in `mne.Epochs.save`
> - `mne.minimum_norm.apply_inverse` now returns `mne.VolVectorSourceEstimate` when needed
> - Annotations are now kept sorted by onset
> - `peak_finder` should be imported as: `from mne.preprocessing import peak_finder`
>
>
> For a full list of improvements and API changes see:
> http://martinos.org/mne/stable/whats_new.html#version-0-18
>
> To install the latest release the following command should do the job:
>
>     $ pip install --upgrade 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/ (full MNE documentation)
>
> Follow us on Twitter for general news (https://twitter.com/mne_news)
> and for a regular feed of merged PRs (https://twitter.com/mne_python).
>
>
>
> Regards,
> The MNE-Python developers
>
>
> 52 people made commits that contributed to this release (in alphabetical order):
>
> * Achilleas Koutsou
> * Alexander Kovrig
> * Alexandre Gramfort
> * Antoine Gauthier
> * Britta Westner
> * Bruno Nicenboim
> * Burkhard Maess
> * Chris Bailey
> * Chris Holdgraf
> * Christian Brodbeck
> * Clemens Brunner
> * Cristóbal Moënne-Loccoz
> * Daniel McCloy
> * David Haslacher
> * Denis A. Engemann
> * Dirk Gütlin
> * Eric Larson
> * Evgenii Kalenkovich
> * Fede Raimondo
> * Guillaume Favelier
> * Hubert Banville
> * Ivana Kojcic
> * Jean-Remi King
> * Jeff Hanna
> * Joan Massich
> * Johannes Kasper
> * Jon Houck
> * Jona Sassenhagen
> * José C. García Alanis
> * Jussi Nurminen
> * Katarina Slama
> * Keith Doelling
> * Kostiantyn Maksymenko
> * Larry Eisenman
> * Legrand Nicolas
> * Mainak Jas
> * Marijn van Vliet
> * Mikolaj Magnuski
> * Nathalie Gayraud
> * Nikolas Chalas
> * Oleh Kozynets
> * Quentin Bertrand
> * Samuel Deslauriers-Gauthier
> * Sebastián Castaño
> * Simon Kern
> * Stanislas Chambon
> * Stefan Appelhoff
> * Stefan Repplinger
> * Steve Matindi
> * Teon Brooks
> * Thomas Donoghue
> * Thomas Hartmann
>
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