Version 0.11 (2015-12-24)

Changelog

• Maxwell filtering (SSS) implemented in mne.preprocessing.maxwell_filter() by Mark Wronkiewicz as part of Google Summer of Code, with help from Samu Taulu, Jukka Nenonen, and Jussi Nurminen. Our implementation includes support for:

  • Fine calibration

  • Cross-talk correction

  • Temporal SSS (tSSS)

  • Head position translation

  • Internal component regularization

• Compensation for movements using Maxwell filtering on epoched data in mne.epochs.average_movements() by Eric Larson and Samu Taulu

• Add reader for Nicolet files in mne.io.read_raw_nicolet() by Jaakko Leppakangas

• Add FIFF persistence for ICA labels by Denis Engemann

• Display ICA labels in mne.viz.plot_ica_scores() and mne.viz.plot_ica_sources() (for evoked objects) by Denis Engemann

• Plot spatially color coded lines in mne.Evoked.plot() by Jona Sassenhagen and Jaakko Leppakangas

• Add reader for CTF data in mne.io.read_raw_ctf() by Eric Larson

• Add support for Brainvision v2 in mne.io.read_raw_brainvision() by Teon Brooks

• Improve speed of generalization across time mne.decoding.GeneralizationAcrossTime decoding up to a factor of seven by Jean-Remi King and Federico Raimondo and Denis Engemann.

• Add the explained variance for each principal component, explained_var, key to the mne.Projection by Teon Brooks

• Added methods mne.Epochs.add_eeg_average_proj, mne.io.Raw.add_eeg_average_proj, and mne.Evoked.add_eeg_average_proj to add an average EEG reference.

• Add reader for EEGLAB data in mne.io.read_raw_eeglab() and mne.read_epochs_eeglab() by Mainak Jas

BUG

• Fix bug that prevented homogeneous bem surfaces to be displayed in HTML reports by Denis Engemann

• Added safeguards against None and negative values in reject and flat parameters in mne.Epochs by Eric Larson

• Fix train and test time window-length in mne.decoding.GeneralizationAcrossTime by Jean-Remi King

• Added lower bound in mne.stats.linear_regression() on p-values p_val (and resulting mlog10_p_val) using double floating point arithmetic limits by Eric Larson

• Fix channel name pick in mne.Evoked.get_peak() method by Alex Gramfort

• Fix drop percentages to take into account ignore option in mne.viz.plot_drop_log() and mne.Epochs.plot_drop_log() by Eric Larson.

• mne.EpochsArray no longer has an average EEG reference silently added (but not applied to the data) by default. Use mne.EpochsArray.add_eeg_ref to properly add one.

• Fix mne.io.read_raw_ctf() to read n_samp_tot instead of n_samp by Jaakko Leppakangas

API

• mne.io.read_raw_brainvision() now has event_id argument to assign non-standard trigger events to a trigger value by Teon Brooks

• mne.read_epochs() now has add_eeg_ref=False by default, since average EEG reference can be added before writing or after reading using the method mne.Epochs.add_eeg_ref.

• mne.EpochsArray no longer has an average EEG reference silently added (but not applied to the data) by default. Use mne.EpochsArray.add_eeg_average_proj to properly add one.

Authors

The committer list for this release is the following (preceded by number of commits):

• 171 Eric Larson

• 117 Jaakko Leppakangas

• 58 Jona Sassenhagen

• 52 Mainak Jas

• 46 Alexandre Gramfort

• 33 Denis A. Engemann

• 28 Teon Brooks

• 24 Clemens Brunner

• 23 Christian Brodbeck

• 15 Mark Wronkiewicz

• 10 Jean-Remi King

• 5 Marijn van Vliet

• 3 Fede Raimondo

• 2 Alexander Rudiuk

• 2 emilyps14

• 2 lennyvarghese

• 1 Marian Dovgialo