Hi,
I am pleased to announce the new 0.5 release of mne-python.
This release comes with a huge number of new features and usability improvements
thanks to our growing number of contributors. A few highlights are:
- connectivity module in sensor and source space (see Christmas gift attached)
- independent component analysis (ICA)
- spatio-temporal cluster-level statistics in source space
- new interactive topography plotting functions (click to zoom) with
ERP images among others
- support of fif.gz files to store GZip compressed files
- new logging system that allows to store printed messages in text files
- resampling of raw data
- save epochs in fif files
- handle multiple conditions in Epochs
- time-frequency (TF) MxNE inverse method
- exporters to other python data analysis libraries, i.e., pandas and nitime
- etc.
See the detailed summary on the what's new page:
http://martinos.org/mne/whats_new.html
As usual we welcome bug reports, feature requests and even more contributions.
Some links:
- https://github.com/mne-tools/mne-python (code + readme on how to install)
- http://martinos.org/mne (full MNE documentation)
- http://martinos.org/mne/auto_examples/index.html (the Python examples)
- http://martinos.org/mne/python_reference.html (Python functions documentation)
- http://mne-tools.github.com/mne-python-intro-slides/ (slides)
- http://mne-tools.github.com/mne-python-intro/ (an introduction to mne-python)
Follow us on Twitter: https://twitter.com/mne_python
Regards,
The MNE-Python developers
Christian Brodbeck
Denis Engemann
Alexandre Gramfort
Matti Hamalainen
Eric Larson
Martin Luessi
Daniel Strohmeier
-------------- next part --------------
A non-text attachment was scrubbed...
Name: mne-python-0.5.png
Type: image/png
Size: 538865 bytes
Desc: not available
Url : http://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/attachments/20121227/84cf9d83/attachment.png
