Version 0.6 (2013-06-15)#
Changelog#
Linear (and zeroth-order) detrending for Epochs and Evoked by Eric Larson
Label morphing between subjects by Eric Larson
Define events based on time lag between reference and target event by Denis Engemann
ICA convenience function implementing an automated artifact removal workflow by Denis Engemann
Bad channels no longer included in epochs by default by Eric Larson
Support for diagonal noise covariances in inverse methods and rank computation by Eric Larson
Support for using CUDA in FFT-based FIR filtering (method=’fft’) and resampling by Eric Larson
Optimized FFT length selection for faster overlap-add filtering by Martin Luessi
Ability to exclude bad channels from evoked plots or shown them in red by Martin Luessi
Option to show both hemispheres when plotting SourceEstimate with PySurfer by Martin Luessi
Optimized Raw reading and epoching routines to limit memory copies by Eric Larson
Advanced options to save raw files in short or double precision by Eric Larson
Option to detect decreasing events using find_events by Simon Kornblith
Option to change default stim_channel used for finding events by Eric Larson
Use average patch normal from surface-oriented forward solution in inverse calculation when possible by Eric Larson
Function to plot drop_log from Epochs instance by Eric Larson
Estimate rank of Raw data by Eric Larson
Support reading of BTi/4D data by Denis Engemann
Wrapper for generating forward solutions by Eric Larson
Averaging forward solutions by Eric Larson
Events now contain the pre-event stim channel value in the middle column, by Christian Brodbeck
New function
mne.find_stim_stepsfor finding all steps in a stim channel by Christian BrodbeckGet information about FIFF files using mne.fiff.show_fiff() by Eric Larson
Compute forward fields sensitivity maps by Alex Gramfort and Eric Larson
Support reading of KIT data by Teon Brooks and Christian Brodbeck
Raw data visualization by Eric Larson
Smarter SourceEstimate object that contains linear inverse kernel and sensor space data for fast time-frequency transforms in source space by Martin Luessi
Add example of decoding/MVPA on MEG sensor data by Alex Gramfort
Add support for non-paired tests in spatiotemporal cluster stats by Alex Gramfort
Add unified SSP-projector API for Raw, Epochs and Evoked objects by Denis Engemann, Alex Gramfort Eric Larson and Martin Luessi
Add support for delayed SSP application at evoked stage Denis Engemann, Alex Gramfort, Eric Larson and Martin Luessi
Support selective parameter updating in functions taking dicts as arguments by Denis Engemann
New ICA method
sources_as_epochsto create Epochs in ICA space by Denis EngemannNew method in Evoked and Epoch classes to shift time scale by Mainak Jas
Added option to specify EOG channel(s) when computing PCA/SSP projections for EOG artifacts by Mainak Jas
Improved connectivity interface to allow combinations of signals, e.g., seed time series and source estimates, by Martin Luessi
Effective connectivity estimation using Phase Slope Index (PSI) by Martin Luessi
Support for threshold-free cluster enhancement (TFCE) by Eric Larson
Support for “hat” variance regularization by Eric Larson
Access source estimates as Pandas DataFrame by Denis Engemann.
Add example of decoding/MVPA on MEG source space data by Denis Engemann
Add support for –tstart option in mne_compute_proj_eog.py by Alex Gramfort
Add two-way repeated measures ANOVA for mass-univariate statistics by Denis Engemann, Eric Larson and Alex Gramfort
Add function for summarizing clusters from spatio-temporal-cluster permutation tests by Denis Engemann and Eric Larson
Add generator support for
lcmv_epochsby Denis EngemannGamma-MAP sparse source localization method by Martin Luessi and Alex Gramfort
Add regular expression and substring support for selecting parcellation labels by Denis Engemann
New plot_evoked option for interactive and reversible selection of SSP projection vectors by Denis Engemann
Plot 2D flat topographies with interpolation for evoked and SSPs by Christian Brodbeck and Alex Gramfort
Support delayed SSP applicationon for 2D flat topographies by Denis Engemann and Christian Brodbeck and Alex Gramfort
Allow picking maximum power source, a.k.a. “optimal”, orientation in LCMV beamformers by Roman Goj, Alex Gramfort, Denis Engemann and Martin Luessi
Add sensor type scaling parameter to plot_topo by Andrew Dykstra, Denis Engemann and Eric Larson
Support delayed SSP application in plot_topo by Denis Engemann
API#
Deprecated use of fiff.pick_types without specifying exclude – use either [] (none),
bads(bad channels), or a list of string (channel names).Depth bias correction in dSPM/MNE/sLORETA make_inverse_operator is now done like in the C code using only gradiometers if present, else magnetometers, and EEG if no MEG channels are present.
Fixed-orientation inverse solutions need to be made using
fixed=Trueoption (using non-surface-oriented forward solutions if no depth weighting is used) to maintain compatibility with MNE C code.Raw.save() will only overwrite the destination file, if it exists, if option overwrite=True is set.
mne.utils.set_config(), get_config(), get_config_path() moved to mne namespace.
Raw constructor argument proj_active deprecated – use proj argument instead.
Functions from the mne.mixed_norm module have been moved to the mne.inverse_sparse module.
Deprecate CTF compensation (keep_comp and dest_comp) in Epochs and move it to Raw with a single compensation parameter.
Remove artifacts module. Artifacts- and preprocessing related functions can now be found in mne.preprocessing.