Version 0.4 (2012-08-24)#
Add function to compute source PSD using minimum norm by Alex Gramfort
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.
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.
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.