Hi, We are pleased to announce the new 0.9 release of MNE-python! This release cycle has been the longest and most extensive in the history of MNE-Python. The new release comes with many new features and usability improvements thanks a consistently growing number of contributors, including last summer’s Google Summer of Code participants. A few highlights: - We dramatically improved support for EEG analysis on multiple levels, such as I/O, visualization and statistics - Support for volume and mixed source spaces including subcortical structures - Dipole fitting - RAP-Music inverse solver - Automated estimation and regularization of M/EEG covariance - When your events code for different conditions event_id Epochs parameter can be used to tag each event integer to multiple conditions e.g. event_id = {‘Left/Auditory’: 1, ‘Right/Auditory’: 2, ‘Left/Visual: 3, ‘Right/Visual: 4} allows you to extract all visual epochs using epochs[‘Visual’] - Parsing of SSS processing history from fiff files now available in measurement info - Additional time-frequency methods such as multi-taper convolution and the Stockwell transform - Savitzky-Golay method for filtering evoked data - Extended support for time-generalization and cross-condition generalization decoding - Support for ECoG and arbitrary data types For a full list of improvements and API changes, see: http://martinos.org/mne/whats_new.html To install the latest release the following command should do the job: pip install --upgrade --user mne Note that this version of MNE-Python has an individual DOI and can be cited: https://zenodo.org/record/17856#.VV90Flmqqko As usual we welcome your bug reports, feature requests, critics and 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 (anintroduction/tutorial to basic mne-python) Follow us on Twitter: https://twitter.com/mne_python Regards, The MNE-Python maintainer People who contributed to this release with their number of commits: 517 Eric Larson 343 Denis A. Engemann 305 Alexandre Gramfort 300 Teon Brooks 142 Mainak Jas 119 Jean-Remi King 77 Alan Leggitt 75 Marijn van Vliet 63 Chris Holdgraf 57 Yousra Bekhti 49 Mark Wronkiewicz 44 Christian Brodbeck 30 Jona Sassenhagen 29 Hari Bharadwaj 27 Clément Moutard 24 Ingoo Lee 18 Marmaduke Woodman 16 Martin Luessi 10 Jaakko Leppakangas 9 Andrew Dykstra 9 Daniel Strohmeier 7 kjs 6 Dan G. Wakeman 5 Federico Raimondo 3 Hafeza Anevar 3 Christoph Dinh 3 Basile Pinsard 2 Martin Billinger 2 Roan LaPlante 1 sviter 1 Manoj Kumar 1 Matt Tucker 1 Romain Trachel 1 mads jensen