- Sign flip computation for robust label average of signed values by Alex Gramfort.
- Reading and writing of .w files by Martin Luessi.
- Support for modifying Raw object and allow raw data preloading with memory mapping by Martin Luessi and Alex Gramfort.
- Support of arithmetic of Evoked data (useful to concatenate between runs and compute contrasts) by Alex Gramfort.
- Support for computing sensor space data from a source estimate using an MNE forward solution by Martin Luessi.
- Support of arithmetic of Covariance by Alex Gramfort.
- Write BEM surfaces in Python by Alex Gramfort.
- Filtering operations and apply_function interface for Raw object by Martin Luessi.
- Support for complex valued raw fiff files and computation of analytic signal for Raw object by Martin Luessi.
- Write inverse operators (surface and volume) by Alex Gramfort.
- Covariance matrix computation with multiple event types by Martin Luessi.
- New stats functions for FDR correction and Bonferroni by Alex Gramfort.
- Faster time-frequency using downsampling trick by Alex Gramfort.
- Support for volume source spaces by Alex Gramfort (requires next MNE release or nightly).
- Improved Epochs handling by Martin Luessi (slicing, drop_bad_epochs).
- Bug fix in Epochs + ECG detection by Manfred Kitzbichler.
- New pick_types_evoked function by Alex Gramfort.
- SourceEstimate now supports algebra by Alex Gramfort.
Here are the code migration instructions when upgrading from mne-python version 0.1:
- New return values for the function find_ecg_events
The committer list for this release is the following (preceded by number of commits):
- 33 Alexandre Gramfort
- 12 Martin Luessi
- 2 Yaroslav Halchenko
- 1 Manfred Kitzbichler