Version 0.4 (2012-08-24)

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