[Mne_analysis] [ANN] MNE-Python 0.8 Release

Denis-Alexander Engemann denis.engemann at gmail.com
Thu Jul 31 03:58:49 EDT 2014
Search archives:

Dear list,

we are pleased to announce the new 0.8 release of MNE-python.

This release comes as usual with a lot of new features and usability
improvements thanks to our growing number of contributors.

A few highlights:

- “mne report”, a new tool to create interactive HTML reports for reviewing
and sharing data analysis results. Details can be found here:

and an example at https://dl.dropboxusercontent.com/u/3915954/report.html

- visualize reconstructed electromagnetic fields on helmet and head surface.

- improved support for processing and visualizing EEG data in sensor space.

- new function for reading EGI EEG data.

- official Python 3 support (except 3D plotting)

- support for constructing MNE objects from arbitrary array inputs (allows
working with data stored e.g. in .mat files)

- ICA has been rewritten, we added the infomax and extended infomax
algorithms and lots of new functionality to automatically identify bad
components and visualize data quality.

- redesign sensor space time-frequency API with new somatosensory MEG
dataset with nice time-frequency content (see

- functionality to visualize cross-talk and point-spread functions of
linear inverse solvers

- new functionality for regression analysis


- functions to plot BEM segmentations and coregistration results to assess
their quality


- realtime time code to communicate with Fieldtrip buffer

The full list of the improvements coming in this release is at


Please note some changes such as the fact that the mne.fiff module is
deprecated and replaced by mne.io and functions directly via the mne
namespace (e.g. mne.read_evokeds).

To install the latest release the following command should do the job:

pip install mne --upgrade --user

As usual we welcome bug reports, feature requests, critics and even more

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

- 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


The MNE-Python developers

People who contributed to this release with their number of commits:

  418  Denis A. Engemann

  284  Alexandre Gramfort

  242  Eric Larson

  155  Christian Brodbeck

  144  Mainak Jas

   49  Martin Billinger

   49  Andrew Dykstra

   44  Tal Linzen

   37  Dan G. Wakeman

   36  Martin Luessi

   26  Teon Brooks

   20  Cathy Nangini

   15  Hari Bharadwaj

   15  Roman Goj

   10  Ross Maddox

    9  Marmaduke Woodman

    8  Praveen Sripad

    8  Tanay

    8  Roan LaPlante

    5  Saket Choudhary

    4  Nick Ward

    4  Mads Jensen

    3  Olaf Hauk

    3  Brad Buran

    2  Daniel Strohmeier

    2  Federico Raimondo

    2  Alan Leggitt

    1  Jean-Remi King

    1  Matti Hamalainen
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20140731/06d85df8/attachment.html 

More information about the Mne_analysis mailing list