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| The best way to get into it is by following the[[http://martinos.org/mne/dev/tutorials.html|tutorials]] and [[http://martinos.org/mne/dev/auto_examples/index.html|examples]] on the [[http://martinos.org/mne/dev/getting_started.html|MNE-Python web-site.]] You can download their sample data set and get straight to work. | The best way to get into it is by following the[[http://martinos.org/mne/dev/tutorials.html|tutorials]] and [[http://martinos.org/mne/dev/auto_examples/index.html|examples]] on the [[http://martinos.org/mne/dev/getting_started.html|MNE-Python web-site.]] You can download their sample data set and get straight to work. You will need some basic knowledge of [[http://wiki.mrc-cbu.cam.ac.uk/meg/Beginners|Python]] to use this software. |
EEG/MEG Analysis in MNE-Python
MNE-Python is installed at the CBU, and can be started using
$ mne_python -v 0.20
The best way to get into it is by following thetutorials and examples on the MNE-Python web-site. You can download their sample data set and get straight to work.
You will need some basic knowledge of Python to use this software.
At the CBU, MNE-Python is supported by Olaf Hauk.