Releases: mne-tools/mne-python
Releases · mne-tools/mne-python
v0.18
A few highlights
- Python 2 is no longer supported; MNE-Python now requires Python 3.5+
- New tutorials and examples on sleep stage classification, data simulation using subject's anatomy, how to use EEG montages on fsaverage
- New module to simulate SourceEstimates
- Improved performance using CUDA, better copy management, better dispatching of the computation over the channels
- New fetchers for polysomnography (PSG) recordings from Physionet and fsaverage template
- Better support for source reconstruction with beamformers and other inverse models
- Improved UI and visualizations for topomaps, Raw and Epochs objects
- Better support for Annotations
- Support to compute power envelope correlations on brain parcellation for rest data
- Better rendering of the coregistration
- Added partial support for PyVista as a 3D backend that can replace mayavi
- Added support for Raw, Epochs and Evoked noise simulation
- Added new parcellation (448-labels subdivided aparc) and improve support including morphing of the labels
- Better support for the TFR objects
And we caught and fixed more than 50 bugs !!
Notable API changes
- Deprecation of mne.io.find_edf_events, raw.estimate_rank
- Reading BDF and GDF files with mne.io.read_raw_edf is deprecated and replaced by mne.io.read_raw_bdf and mne.io.read_raw_gdf
- The signatures of mne.preprocessing.ICA, mne.simulation.add_noise and mne.simulation.add_chpi have changed
- Added overwrite parameter in mne.Epochs.save
- mne.minimum_norm.apply_inverse now returns mne.VolVectorSourceEstimate when needed
- Annotations are now kept sorted by onset
- peak_finder should be imported as: 'from mne.preprocessing import peak_finder'
v0.17
Highlights
- This release will be the last release compatible with Python 2. The next version will be Python 3.5+ only.
- Better support for Annotations, including readers for EEGLAB, BrainVision, EDF, CSV, TXT and Brainstorm formats, and a new tutorial in the documentation to dive in.
- Better support to import data from FieldTrip and Neurmag 122 systems.
- Add capability to read and save Epochs containing complex data (e.g. after Hilbert transform).
- Add optically pumped magnetometer dataset and examples.
- New source morph object to unify morphing any type of source estimates (surface or volume) from one subject to another for group studies. It is now possible to do group studies when working on the volume with MNE.
- Add ability to read and write beamformers.
- New source power spectral estimation example for resting-state data
- Better support for Reports, now they can be load/saved in HDF5 and the existing figures from a report can be removed.
- Add support for reading MATLAB v7.3+ for EEGLAB.
- Add interactive visualization of volume source estimates using plot_volume_source_estimates
- New BIDS-compatible raw filename construction
- Better helmet visualization for Artemis123 and CTF
Notable API changes
- Deprecation of annot and annotmap parameters in mne.io.read_raw_edf
- Deprecated mne.SourceEstimate.morph_precomputed, mne.SourceEstimate.morph, mne.compute_morph_matrix, mne.morph_data_precomputed and mne.morph_data in favor of mne.compute_source_morph
- Calling mne.Epochs.decimate no longer copies the data when decim=1.
- Warning messages are now only logged when warn_explicit is set (unless a logging file is being used) to avoid duplicate warning messages.
- src.kind now equals to 'mixed' (and not 'combined') for a mixed source space (i.e., made of surfaces and volume grids)
- The default value of stop_receive_thread in mne.realtime.RtEpochs.stop has been changed to True
- Using the mne.io.Raw.add_channels on an instance with memmapped data will now resize the memmap file to append the new channels on Windows and Linux
- Mismatches in CTF compensation grade are now checked in inverse computation
