# \[ANN\] MNE-Python 0.8 Release **URL:** \ **Category:** Mailing List Archive (read-only)\ **Tags:** list-archive\ **Created:** [July 31, 2014, 7:58am UTC](https://mne.discourse.group/t/ann-mne-python-0-8-release/768 "2014-07-31T07:58:49Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![system](https://global.discourse-cdn.com/free1/uploads/mne/original/1X/85cc6bd2b69cb698a166dc6d880fb550510d0144.jpeg) [@system](https://mne.discourse.group/u/system)\ **Post date:** [July 31, 2014, 7:58am UTC](https://mne.discourse.group/t/ann-mne-python-0-8-release/768/1 "2014-07-31T07:58:49Z")
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: [http://martinos.org/mne/stable/mne\_report\_tutorial.html](http://martinos.org/mne/stable/mne_report_tutorial.html) and an example at [https://dl.dropboxusercontent.com/u/3915954/report.html](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 [http://martinos.org/mne/stable/auto\_examples/time\_frequency/plot\_time\_frequency\_sensors.html](http://martinos.org/mne/stable/auto_examples/time_frequency/plot_time_frequency_sensors.html) ) - functionality to visualize cross-talk and point-spread functions of linear inverse solvers - new functionality for regression analysis [http://martinos.org/mne/stable/auto\_examples/stats/plot\_sensor\_regression.html](http://martinos.org/mne/stable/auto_examples/stats/plot_sensor_regression.html) - functions to plot BEM segmentations and coregistration results to assess their quality [http://martinos.org/mne/stable/auto\_examples/plot\_bem\_contour\_mri.html](http://martinos.org/mne/stable/auto_examples/plot_bem_contour_mri.html) - realtime time code to communicate with Fieldtrip buffer The full list of the improvements coming in this release is at [http://martinos.org/mne/whats\_new.html](http://martinos.org/mne/whats_new.html) Please note some changes such as the fact that the mne.fiff module is deprecated and replaced by [mne.io](http://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 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](http://martinos.org/mne) (full MNE documentation) - [http://martinos.org/mne/auto\_examples/index.html](http://martinos.org/mne/auto_examples/index.html) (the Python examples) - [http://martinos.org/mne/python\_reference.html](http://martinos.org/mne/python_reference.html) (Python functions documentation) - [http://mne-tools.github.io/mne-python-intro-slides/](http://mne-tools.github.io/mne-python-intro-slides/) (slides) - [http://martinos.org/mne/python\_tutorial.html](http://martinos.org/mne/python_tutorial.html) (an introduction/tutorial to basic mne-python) 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 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](http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20140731/06d85df8/attachment.html)