[Mne_analysis] [ANN] MNE-Python 0.7 release

[Alexandre Gramfort]

hi,

FYI version 0.7.1 was just released to fix the issues raised
by our early adopters.

Thanks for the feedback

Best,
Alex


On Tue, Nov 26, 2013 at 6:20 PM, Denis-Alexander Engemann
<d.engemann at fz-juelich.de> wrote:
> Hi,
>
>
> we are pleased to announce the new 0.7 release of MNE-python and by the same
> occasion the recently published paper on MNE:
>
>
> A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck,
> L. Parkkonen, M. Hämäläinen, MNE software for processing MEG and EEG data,
> NeuroImage, 2013, ISSN 1053-8119
>
>
> Sadly the paper on MNE-Python is still under revision...
>
>
> This release comes as usual with a lot of new features and usability
> improvements thanks to our ever growing number of contributors.
>
>
> A few highlights:
>
>
> - Frequency and Time-Frequency Beamforming methods (DICS, 5d-Beamformer)
>
> - Realtime analysis support
>
> - New decoding module (Common Spatial Patterns, SVMs, ...)
>
> - BEM forward modeling is now possible in Python
>
> - Source space generation is now possible in Python
>
> - GUI for MEG/MRI coregistration (cf. slide show http://goo.gl/Ys01yb)
>
> - New function for decimating head surfaces for coregistration
>
> - Functions for reading EEG data (EDF+, BDF, BrainVision)
>
> - Automatic QRS threshold selection for ECG events detection
>
> - Much more efficient and fast ICA computation
>
> - The SPM face demo dataset is now available from within MNE-Python
>
>
> The full list of the improvements coming in this release is at
>
>
> http://martinos.org/mne/whats_new.html
>
>
> As usual we welcome bug reports, feature requests, critics and even more
> contributions.
>
>
> Some links:
>
>
> - https://github.com/mne-tools/mne-python (code + readme on how to install)
>
> - http://martinos.org/mne (full MNE documentation)
>
> - http://martinos.org/mne/auto_examples/index.html (the Python examples)
>
> - http://martinos.org/mne/python_reference.html (Python functions
> documentation)
>
> - http://mne-tools.github.io/mne-python-intro-slides/ (slides)
>
> - http://martinos.org/mne/python_tutorial.html (an
>
> introduction/tutorial to basic mne-python)
>
>
> Follow us on Twitter: https://twitter.com/mne_python
>
>
> If you can be in Paris next week, you’re welcome to attend our MNE training
> session:
>
>
> http://mne-training-session-paris.eventbrite.fr
>
>
> Regards,
>
> The MNE-Python developers
>
>
> People who contributed to this release with their number of commits:
>
>
>   336  Denis A. Engemann
>
>   202  Eric Larson
>
>   193  Roman Goj
>
>   138  Alexandre Gramfort
>
>    99  Mainak Jas
>
>    75  Christian Brodbeck
>
>    60  Martin Luessi
>
>    40  Teon Brooks
>
>    29  Romain Trachel
>
>    28  Andrew Dykstra
>
>    12  Mark Wronkiewicz
>
>    10  Christoph Dinh
>
>     8  Alan Leggitt
>
>     3  Yaroslav Halchenko
>
>     3  Daniel Strohmeier
>
>     2  Mads Jensen
>
>     2  Praveen Sripad
>
>     1  Luke Bloy
>
>     1  Emanuele Olivetti
>
>     1  Yousra BEKHTI
>
>
>
>
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