Yesterday we released MNE-Python version 1.2, available now on PyPI and conda-forge.
This release includes contributions from 30 contributors including 11 first-time contributors: Andrew Quinn, Chetan Gohil, Daniel Carlström Schad, Dominik Wetzel, Hüseyin Orkun Elmas, Julius Welzel, Mats van Es, Moritz Gerster, Sebastiaan Mathot, Sena Er, and luzpaz. Thanks all!
new option to compute forward solutions using symmetric BEM method via OpenMEEG
new classes Spectrum and EpochsSpectrum created via new methods Raw.compute_psd(), Epochs.compute_psd(), and Evoked.compute_psd(). These replace the functions psd_welch() and psd_multitaper() which are now deprecated.
new method for ICA objects: get_explained_variance_ratio()
cross-talk and point-spread can now be computed for vector and volume-vector source estimates
new class EOGRegression and corresponding example
common average referencing is now possible with ECoG, sEEG, and DBS data
parameter standardization for functions and methods that generate topomaps. Most prominently, colormap limits
vmaxare replaced by a tuple
vlim, and the
titleparameter is deprecated (use matplotlib’s
new channel types
gsr(galvanic skin response)
The full changelog is available here.