|
Size: 557
Comment:
|
Size: 718
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 5: | Line 5: |
| $ mne_python -v 0.12 | $ mne_python 1.0.3 |
| Line 7: | Line 7: |
| 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 version include 0.24 downwards. 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 1.0.3
Previous version include 0.24 downwards.
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.