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.. _changes_0_4:
Version 0.4
-----------
Changelog
~~~~~~~~~
- Add function to compute source PSD using minimum norm by `Alex Gramfort`_
- L21 Mixed Norm Estimates (MxNE) by `Alex Gramfort`_ and `Daniel Strohmeier`_
- Generation of simulated evoked responses by `Alex Gramfort`_, `Daniel Strohmeier`_, and `Martin Luessi`_
- Fit AR models to raw data for temporal whitening by `Alex Gramfort`_.
- speedup + reduce memory of mne.morph_data by `Alex Gramfort`_.
- Backporting scipy.signal.firwin2 so filtering works with old scipy by `Alex Gramfort`_.
- LCMV Beamformer for evoked data, single trials, and raw data by `Alex Gramfort`_ and `Martin Luessi`_.
- Add support for reading named channel selections by `Martin Luessi`_.
- Add Raw.filter method to more easily band pass data by `Alex Gramfort`_.
- Add tmin + tmax parameters in mne.compute_covariance to estimate noise covariance in epochs baseline without creating new epochs by `Alex Gramfort`_.
- Add support for sLORETA in apply_inverse, apply_inverse_raw, apply_inverse_epochs (API Change) by `Alex Gramfort`_.
- Add method to regularize a noise covariance by `Alex Gramfort`_.
- Read and write measurement info in forward and inverse operators for interactive visualization in mne_analyze by `Alex Gramfort`_.
- New mne_compute_proj_ecg.py and mne_compute_proj_eog.py scripts to estimate ECG/EOG PCA/SSP vectors by `Alex Gramfort`_ and `Martin Luessi`_.
- Wrapper function and script (mne_maxfilter.py) for Elekta Neuromag MaxFilter(TM) by `Martin Luessi`_
- Add method to eliminate stimulation artifacts from raw data by linear interpolation or windowing by `Daniel Strohmeier`_.
Authors
~~~~~~~
The committer list for this release is the following (preceded by number
of commits):
* 118 Alexandre Gramfort
* 81 Martin Luessi
* 15 Daniel Strohmeier
* 4 Christian Brodbeck
* 4 Louis Thibault
* 2 Brad Buran
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