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| $ mne_python -v 0.12 | $ mne_python 1.0.3 |
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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. | Previous versions include 0.24 downwards. To use mne-python with Spyder, type {{{ $ spyder_mne 1.0.3 }}} 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. |
EEG/MEG Analysis in MNE-Python
MNE-Python is installed at the CBU, and can be started using
$ mne_python 1.0.3
Previous versions include 0.24 downwards.
To use mne-python with Spyder, type
$ spyder_mne 1.0.3
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.