[Neuroimaging] [ANN] MNE-Python 0.12

[Bertrand Thirion]

Congratulations ! 

Bertrand 

----- Mail original -----

> De: "Alexandre Gramfort" <alexandre.gramfort at telecom-paristech.fr>
> À: "Neuroimaging analysis in Python" <neuroimaging at python.org>, "mne
> analysis" <mne_analysis at nmr.mgh.harvard.edu>,
> neurospin-time-group at googlegroups.com, megcommunity at jiscmail.ac.uk
> Envoyé: Mercredi 11 Mai 2016 09:59:36
> Objet: [Neuroimaging] [ANN] MNE-Python 0.12

> Hi,

> We are pleased to announce the new 0.12 release of MNE-Python. This release
> comes with many improvements to usability, visualization and documentation
> and bug fixes.

> A few highlights:

> *

> We entirely revamped our documentation at the MNE website with a new
> easy-to-follow structure, have a look at http://martinos.org/mne and let us
> know if you would like to read more on a particular topic. See eg.
> http://martinos.org/mne/stable/tutorials.html
> *

> We introduced annotations for marking arbitrary segments of raw data. This
> can be used in order to annotate M/EEG recordings with naturalistic stimuli
> or for rejecting bad segments of data. See
> http://martinos.org/mne/dev/auto_tutorials/plot_brainstorm_auditory.html for
> an example.
> *

> Added the ability to create animations/movies of sensor topographies. See
> Evoked.animate_topomap method.
> *

> We now have movement compensation for Maxwell-Filter
> *

> We have new short-hand plotting function for showing sensor positions and
> layouts.
> *

> We now explicitly support ECoG data with a specific ecog channel type.
> *

> Evoked activity (as a butterfly time series) and corresponding topomaps can
> now be shown in one plot with `Evoked.plot_joint()` for spatio-temporal
> brain dynamics
> *

> Support for reading and estimation of fixed-position dipole time courses
> (similar to Elekta ``xfit``)
> *

> New mne.io.read_raw_cnt function for reading Neuroscan CNT files

> Notable API changes:

> *

> To unify in-place modification vs. copying API, the `copy` parameter was
> deprecated for all MNE object methods and will be removed in a later
> version; instead, `inst.copy().method()` is to be used. Also, all object
> methods now return `self`, allowing reliable chaining (e.g. `raw_resampled =
> raw.copy().filter(1).resample(100)`)
> *

> Generalization Across Time now supports custom predict functions, e.g.
> predicting probabilities rather than classes, via the `predict_method`
> keyword argument; and an option was added to score either across or within
> folds via the `predict_mode` keyword argument.
> *

> We now have additional decimation parameters for time-frequency methods
> *

> When estimating covariance from raw data, the same regularization methods can
> be used as for estimating the covariance from epoched data.
> *

> From now on ECG, EOG and EMG channels are shown by default in butterfly plots

> For a full list of improvements and API changes, see:

> http://martinos.org/mne/stable/whats_new.html#version-0-12

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

> pip install --upgrade --user mne

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

> contributions.

> 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: https://twitter.com/mne_python

> Regards,

> The MNE-Python developers

> People who contributed to this release with their number of commits:

> The committer list for this release is the following (preceded by

> number of commits):

> *

> 348 Eric Larson
> *

> 347 Jaakko Leppakangas
> *

> 157 Alexandre Gramfort
> *

> 139 Jona Sassenhagen
> *

> 67 Jean-Remi King
> *

> 32 Chris Holdgraf
> *

> 31 Denis A. Engemann
> *

> 30 Mainak Jas
> *

> 16 Christopher J. Bailey
> *

> 13 Marijn van Vliet
> *

> 10 Mark Wronkiewicz
> *

> 9 Teon Brooks
> *

> 9 kaichogami
> *

> 8 Clément Moutard
> *

> 5 Camilo Lamus
> *

> 5 mmagnuski
> *

> 4 Christian Brodbeck
> *

> 4 Daniel McCloy
> *

> 4 Yousra Bekhti
> *

> 3 Fede Raimondo
> *

> 1 Jussi Nurminen
> *

> 1 MartinBaBer
> *

> 1 Mikolaj Magnuski
> *

> 1 Natalie Klein
> *

> 1 Niklas Wilming
> *

> 1 Richard Höchenberger
> *

> 1 Sagun Pai
> *

> 1 Sourav Singh
> *

> 1 Tom Dupré la Tour
> *

> 1 kambysese
> *

> 1 pbnsilva
> *

> 1 sviter
> *

> 1 zuxfoucault

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