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