[Mne_analysis] [MNE_analysis] [ANN] MNE-Python 0.18

Sik mailsik at gmail.com
Tue May 21 14:03:38 EDT 2019
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Dear community!

We are very pleased to announce the new 0.18 release of MNE-Python (

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.realtime` module to become entire project in the MNE
- 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

For a full list of improvements and API changes see:

To install the latest release the following command should do the job:

    $ pip install --upgrade mne

As usual, we welcome your bug reports, feature requests, critiques, and

Some links:
- https://github.com/mne-tools/mne-python (code + readme on how to install)
- http://martinos.org/mne/stable/ (full MNE documentation)

Follow us on Twitter for general news (https://twitter.com/mne_news)
and for a regular feed of merged PRs (https://twitter.com/mne_python).

The MNE-Python developers

52 people made commits that contributed to this release (in alphabetical

* Achilleas Koutsou
* Alexander Kovrig
* Alexandre Gramfort
* Antoine Gauthier
* Britta Westner
* Bruno Nicenboim
* Burkhard Maess
* Chris Bailey
* Chris Holdgraf
* Christian Brodbeck
* Clemens Brunner
* Cristóbal Moënne-Loccoz
* Daniel McCloy
* David Haslacher
* Denis A. Engemann
* Dirk Gütlin
* Eric Larson
* Evgenii Kalenkovich
* Fede Raimondo
* Guillaume Favelier
* Hubert Banville
* Ivana Kojcic
* Jean-Remi King
* Jeff Hanna
* Joan Massich
* Johannes Kasper
* Jon Houck
* Jona Sassenhagen
* José C. García Alanis
* Jussi Nurminen
* Katarina Slama
* Keith Doelling
* Kostiantyn Maksymenko
* Larry Eisenman
* Legrand Nicolas
* Mainak Jas
* Marijn van Vliet
* Mikolaj Magnuski
* Nathalie Gayraud
* Nikolas Chalas
* Oleh Kozynets
* Quentin Bertrand
* Samuel Deslauriers-Gauthier
* Sebastián Castaño
* Simon Kern
* Stanislas Chambon
* Stefan Appelhoff
* Stefan Repplinger
* Steve Matindi
* Teon Brooks
* Thomas Donoghue
* Thomas Hartmann
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