[Mne_analysis] [ANN] MNE-Python 0.16

[Alexandre Gramfort]

        External Email - Use Caution        

*Hi,We are very pleased to announce the new 0.16 release of MNE-Python
(http://martinos.org/mne/stable/ <http://martinos.org/mne/stable/>).A few
highlights============ - Add support for metadata in mne.Epochs. See:
https://martinos.org/mne/stable/auto_tutorials/plot_metadata_epochs.html
<https://martinos.org/mne/stable/auto_tutorials/plot_metadata_epochs.html>-
Add ability to plot whitened data in mne.io.Raw.plot(), mne.Epochs.plot(),
mne.Evoked.plot(), and mne.Evoked.plot_topo()
 https://martinos.org/mne/stable/auto_tutorials/plot_whitened.html
<https://martinos.org/mne/stable/auto_tutorials/plot_whitened.html>   - Add
ability to read and write Annotations separate from mne.io.Raw instances
via Annotations.save() and read_annotations() - Add option to unset a
montage by passing None to mne.io.Raw.set_montage() - Add sensor denoising
via mne.preprocessing.oversampled_temporal_projection()
https://martinos.org/mne/stable/auto_examples/preprocessing/plot_otp.html
<https://martinos.org/mne/stable/auto_examples/preprocessing/plot_otp.html>
- Add support for any data type like sEEG or ECoG in covariance related
functions (estimation, whitening and plotting) as well as in
mne.viz.plot_alignment() - Improve the coregistration tools based on Traits
and Mayavi used via mne coreg and mne.gui.coregistration()- Add eLORETA
noise normalization for minimum-norm solvers
https://martinos.org/mne/stable/auto_tutorials/plot_mne_dspm_source_localization.html
<https://martinos.org/mne/stable/auto_tutorials/plot_mne_dspm_source_localization.html>
- Add support for reading Eximia files - Add the Picard algorithm to
perform ICA with mne.preprocessing.ICA
https://martinos.org/mne/stable/auto_examples/preprocessing/plot_ica_comparison.html
<https://martinos.org/mne/stable/auto_examples/preprocessing/plot_ica_comparison.html>
- Add new DICS beamformer implementation as mne.beamformer.make_dics(),
mne.beamformer.apply_dics(), mne.beamformer.apply_dics_csd() and
mne.beamformer.apply_dics_epochs()
https://martinos.org/mne/stable/auto_tutorials/plot_dics.html
<https://martinos.org/mne/stable/auto_tutorials/plot_dics.html> Notable API
changes================ - Channels with unknown locations are now assigned
position [np.nan, np.nan, np.nan] instead of [0., 0., 0.],- Unknown
measurement dates are now stored as info['meas_date'] = None rather than
using the current date. - mne.Evoked.plot() will now append the number of
epochs averaged for the evoked data in the first plot title- Changed the
behavior of mne.io.Raw.pick_channels() and similar methods to be consistent
with mne.pick_channels() to treat channel list as a set (ignoring order)-
Changed the labeling of some plotting functions to use more standard
capitalization and units, e.g. “Time (s)” instead of “time [sec]” -
mne.time_frequency.csd_epochs has been refactored into
mne.time_frequency.csd_fourier() and mne.time_frequency.csd_multitaper()-
The functions lcmv, lcmv_epochs, and lcmv_raw are now deprecated in favor
of mne.beamformer.make_lcmv() and mne.beamformer.apply_lcmv(),
mne.beamformer.apply_lcmv_epochs(), and mne.beamformer.apply_lcmv_raw()For
a full list of improvements and API changes,
see:http://martinos.org/mne/stable/whats_new.html#version-0-16
<http://martinos.org/mne/stable/whats_new.html#version-0-16>To install the
latest release the following command should do the job:pip install
--upgrade --user mneAs usual we welcome your bug reports, feature requests,
critiques, andcontributions.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/ <http://martinos.org/mne/stable/>
(full MNE documentation)Follow us on Twitter: https://twitter.com/mne_news
<https://twitter.com/mne_news>Regards,The MNE-Python developersPeople who
contributed to this release (in alphabetical order):* Alejandro Weinstein*
Alexandre Gramfort* Annalisa Pascarella* Anne-Sophie Dubarry* Britta
Westner* Chris Bailey* Chris Holdgraf* Christian Brodbeck* Claire
Braboszcz* Clemens Brunner* Daniel McCloy* Denis A. Engemann* Desislava
Petkova* Dominik Krzemiński* Eric Larson* Erik Hornberger* Fede Raimondo*
Henrich Kolkhorst* Jean-Remi King* Jen Evans* Joan Massich* Jon Houck* Jona
Sassenhagen* Juergen Dammers* Jussi Nurminen* Kambiz Tavabi* Katrin
Leinweber* Kostiantyn Maksymenko* Larry Eisenman* Luke Bloy* Mainak Jas*
Marijn van Vliet* Mathurin Massias* Mikolaj Magnuski* Nathalie Gayraud*
Oleh Kozynets* Phillip Alday* Pierre Ablin* Stefan Appelhoff* Stefan
Repplinger* Tommy Clausner* Yaroslav Halchenko*
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