[Mne_analysis] [ANN] MNE-Python 0.14

Chris Gorgolewski krzysztof.gorgolewski at gmail.com
Fri Mar 24 12:31:42 EDT 2017
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Awesome! Congratulations!

On Fri, Mar 24, 2017 at 9:18 AM, Chris Holdgraf <choldgraf at berkeley.edu>
wrote:

> Woohoo! Way to go MNE team! What an awesome and useful project!
>
> --
> _____________________________________
>
> PhD Candidate in Neuroscience | UC Berkeley <http://hwni.org/>
> Data Science Fellow | Berkeley Institute for Data Science
> <https://bids.berkeley.edu>
> Editor and Web Director | Berkeley Science Review
> <http://sciencereview.berkeley.edu/>
> _____________________________________
>
> On Fri, Mar 24, 2017 at 2:14 AM Alexandre Gramfort <
> alexandre.gramfort at telecom-paristech.fr> wrote:
>
>> 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>
>>    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> 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>
>>    -
>>
>>    Add minimum-phase filtering option in 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>
>>    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>
>>
>>
>> Notable API changes
>>
>> ================
>>
>>    -
>>
>>    Fix bug with DICS and LCMV (functions mne.beamformer.lcmv
>>    <http://martinos.org/mne/stable/generated/mne.beamformer.lcmv.html>
>>    and mne.beamformer.dics
>>    <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>
>>    -
>>
>>    mne.decoding.Scaler
>>    <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>
>>    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>
>>    class will no longer support plot_filters and plot_patterns, use
>>    mne.EvokedArray
>>    <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>
>>    instead
>>    -
>>
>>    Made functions mne.time_frequency.tfr_array_multitaper
>>    <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>,
>>    mne.time_frequency.tfr_array_stockwell
>>    <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>
>>    and mne.time_frequency.psd_array_welch
>>    <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>
>>    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
>>
>> 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 (code + readme on how to
>> install)
>>
>> - http://martinos.org/mne/stable/ (full MNE documentation)
>>
>> Follow us on Twitter: 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
>>
>> _______________________________________________
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