[Mne_analysis] [ANN] MNE-Python 0.14

Matti Hamalainen msh at nmr.mgh.harvard.edu
Sun Mar 26 17:48:11 EDT 2017
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Congratulations for a great job! Sheraz and Chris will present the Martinos Center in New York this week. 

Best,
Matti

> On Mar 24, 2017, at 7:02 AM, Alexandre Gramfort <alexandre.gramfort at telecom-paristech.fr> wrote:
> 
> thx
> 
> see you buddy !
> 
> A
> 
> On Fri, Mar 24, 2017 at 11:55 AM, Sheraz Khan, PhD <sheraz at nmr.mgh.harvard.edu <mailto:sheraz at nmr.mgh.harvard.edu>> wrote:
> Hi Buddy,
> 
> Wonderful work, you guys truly rocks!!!!!
> 
> See you in NYC on Monday.
> 
> Best,
> 
> Sheraz
> 
> 
> > Hi,
> >
> > We are pleased to announce the new 0.14 release of MNE-Python. As usual
> > this release comes with new features, bug fixes, and many improvements to
> > usability, visualization, and documentation.
> >
> > A few highlights
> >
> > ============
> >
> >    -
> >
> >    We have added I/O support for Artemis123
> >    <http://martinos.org/mne/stable/generated/mne.io.read_raw_artemis123.html <http://martinos.org/mne/stable/generated/mne.io.read_raw_artemis123.html>>
> >    infant/toddler MEG data
> >    -
> >
> >    We no longer require MNE-C for BEM and scalp processing steps
> >    -
> >
> >    Interactive annotation
> >    <http://martinos.org/mne/stable/generated/mne.Annotations.html <http://martinos.org/mne/stable/generated/mne.Annotations.html>> mode is
> >    now available in raw plotting
> >    -
> >
> >    Dipole locations can now be visualized with MRI slice overlay
> >    <http://martinos.org/mne/stable/auto_tutorials/plot_dipole_fit.html <http://martinos.org/mne/stable/auto_tutorials/plot_dipole_fit.html>>
> >    -
> >
> >    Add minimum-phase filtering option in mne.io.Raw.filter()
> >    <http://martinos.org/mne/stable/generated/mne.io.Raw.html#mne.io.Raw.filter <http://martinos.org/mne/stable/generated/mne.io.Raw.html#mne.io.Raw.filter>>
> >    -
> >
> >    New mne.datasets.visual_92_categories
> >    <http://martinos.org/mne/stable/python_reference.html#module-mne.datasets.visual_92_categories <http://martinos.org/mne/stable/python_reference.html#module-mne.datasets.visual_92_categories>>
> >    dataset with an example of Representational Similarity Analysis (RSA)
> >    <http://martinos.org/mne/stable/auto_examples/decoding/decoding_rsa.html#sphx-glr-auto-examples-decoding-decoding-rsa-py <http://martinos.org/mne/stable/auto_examples/decoding/decoding_rsa.html#sphx-glr-auto-examples-decoding-decoding-rsa-py>>
> >
> >
> > Notable API changes
> >
> > ================
> >
> >    -
> >
> >    Fix bug with DICS and LCMV (functions mne.beamformer.lcmv
> >    <http://martinos.org/mne/stable/generated/mne.beamformer.lcmv.html <http://martinos.org/mne/stable/generated/mne.beamformer.lcmv.html>> and
> >    mne.beamformer.dics
> >    <http://martinos.org/mne/stable/generated/mne.beamformer.dics.html <http://martinos.org/mne/stable/generated/mne.beamformer.dics.html>>)
> >    where regularization was done improperly. The default reg=0.01 has been
> >    changed to reg=0.05
> >    -
> >
> >    The filtering functions band_pass_filter, band_stop_filter,
> >    low_pass_filter, and high_pass_filter have been deprecated in favor of
> >    mne.filter.filter_data
> >    <http://martinos.org/mne/stable/generated/mne.filter.filter_data.html <http://martinos.org/mne/stable/generated/mne.filter.filter_data.html>>
> >    -
> >
> >    mne.decoding.Scaler
> >    <http://martinos.org/mne/stable/generated/mne.decoding.Scaler.html <http://martinos.org/mne/stable/generated/mne.decoding.Scaler.html>> now
> >    scales each channel independently using data from all time points
> > (epochs
> >    and times) instead of scaling all channels for each time point. It also
> > now
> >    accepts parameter scalings to determine the data scaling method
> > (default is
> >    None to use static channel-type-based scaling)
> >    -
> >
> >    The default tmax=60. In mne.io.Raw.plot_psd
> >    <http://martinos.org/mne/stable/generated/mne.io.Raw.html?highlight=plot_psd#mne.io.Raw.plot_psd <http://martinos.org/mne/stable/generated/mne.io.Raw.html?highlight=plot_psd#mne.io.Raw.plot_psd>>
> >    will change to tmax=np.inf in 0.15
> >    -
> >
> >    The mne.decoding.LinearModel
> >    <http://martinos.org/mne/stable/generated/mne.decoding.LinearModel.html#mne.decoding.LinearModel <http://martinos.org/mne/stable/generated/mne.decoding.LinearModel.html#mne.decoding.LinearModel>>
> >    class will no longer support plot_filters and plot_patterns, use
> >    mne.EvokedArray
> >    <http://martinos.org/mne/stable/generated/mne.EvokedArray.html <http://martinos.org/mne/stable/generated/mne.EvokedArray.html>> with
> >    mne.decoding.get_coef
> >    <http://martinos.org/mne/stable/generated/mne.decoding.get_coef.html <http://martinos.org/mne/stable/generated/mne.decoding.get_coef.html>>
> >    instead
> >    -
> >
> >    Made functions mne.time_frequency.tfr_array_multitaper
> >    <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_multitaper.html <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_multitaper.html>>,
> >    mne.time_frequency.tfr_array_morlet
> >    <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_morlet.html <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_morlet.html>>,
> >    mne.time_frequency.tfr_array_stockwell
> >    <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_stockwell.html <http://martinos.org/mne/stable/generated/mne.time_frequency.tfr_array_stockwell.html>>,
> >    mne.time_frequency.psd_array_multitaper
> >    <http://martinos.org/mne/stable/generated/mne.time_frequency.psd_array_multitaper.html <http://martinos.org/mne/stable/generated/mne.time_frequency.psd_array_multitaper.html>>
> >    and mne.time_frequency.psd_array_welch
> >    <http://martinos.org/mne/stable/generated/mne.time_frequency.psd_array_welch.html <http://martinos.org/mne/stable/generated/mne.time_frequency.psd_array_welch.html>>
> >    public to allow computing TFRs and PSDs on numpy arrays
> >    -
> >
> >    mne.preprocessing.ICA.fit
> >    <http://martinos.org/mne/stable/generated/mne.preprocessing.ICA.html#mne.preprocessing.ICA.fit <http://martinos.org/mne/stable/generated/mne.preprocessing.ICA.html#mne.preprocessing.ICA.fit>>
> >    now rejects data annotated bad by default when working with Raw.
> >
> >
> > For a full list of improvements and API changes, see:
> >
> > http://martinos.org/mne/stable/whats_new.html#version-0-14 <http://martinos.org/mne/stable/whats_new.html#version-0-14>
> >
> > 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/ <http://martinos.org/mne/stable/> (full MNE documentation)
> >
> > Follow us on Twitter: https://twitter.com/mne_python <https://twitter.com/mne_python>
> >
> > Regards,
> >
> > The MNE-Python developers
> >
> > People who contributed to this release  (in alphabetical order):
> >
> > * Alexander Rudiuk
> >
> > * Alexandre Gramfort
> >
> > * Annalisa Pascarella
> >
> > * Antti Rantala
> >
> > * Asish Panda
> >
> > * Burkhard Maess
> >
> > * Chris Holdgraf
> >
> > * Christian Brodbeck
> >
> > * Cristóbal Moënne-Loccoz
> >
> > * Daniel McCloy
> >
> > * Denis A. Engemann
> >
> > * Eric Larson
> >
> > * Erkka Heinila
> >
> > * Hermann Sonntag
> >
> > * Jaakko Leppakangas
> >
> > * Jakub Kaczmarzyk
> >
> > * Jean-Remi King
> >
> > * Jon Houck
> >
> > * Jona Sassenhagen
> >
> > * Jussi Nurminen
> >
> > * Keith Doelling
> >
> > * Leonardo S. Barbosa
> >
> > * Lorenz Esch
> >
> > * Lorenzo Alfine
> >
> > * Luke Bloy
> >
> > * Mainak Jas
> >
> > * Marijn van Vliet
> >
> > * Matt Boggess
> >
> > * Matteo Visconti
> >
> > * Mikolaj Magnuski
> >
> > * Niklas Wilming
> >
> > * Paul Pasler
> >
> > * Richard Höchenberger
> >
> > * Sheraz Khan
> >
> > * Stefan Repplinger
> >
> > * Teon Brooks
> >
> > * Yaroslav Halchenko
> > _______________________________________________
> > Mne_analysis mailing list
> > Mne_analysis at nmr.mgh.harvard.edu <mailto:Mne_analysis at nmr.mgh.harvard.edu>
> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis>
> 
> 
> -------------------------
> Sheraz Khan, M.Eng, Ph.D.
> Instructor in Neurology
> 
> Athinoula A. Martinos Center for Biomedical Imaging
> Massachusetts General Hospital
> Harvard Medical School
> 
> McGovern Institute for Brain Research
> Massachusetts Institute of Technology
> 
> Tel:   +1 617-643-5634 <tel:%2B1%20617-643-5634>
> Fax:   +1 617-948-5966 <tel:%2B1%20617-948-5966>
> Email: sheraz at nmr.mgh.harvard.edu <mailto:sheraz at nmr.mgh.harvard.edu>
>        sheraz at mit.edu <mailto:sheraz at mit.edu>
> Web:   http://sheraz.mit.edu <http://sheraz.mit.edu/>
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