|
Size: 1559
Comment:
|
Size: 1503
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 16: | Line 16: |
| mne_python -v 0.7 | mne_python -v 0.10 |
| Line 18: | Line 18: |
| The best way to learn MNE-Python is to check out the intro and examples on the [[http://martinos.org/mne/stable/python_tutorial.html|MNE-Python intro]] and [[https://martinos.org/mne/stable/auto_examples/index.html|MNE-Python examples]] sites. | The best way to learn MNE-Python is to check out the [[http://martinos.org/mne/stable/tutorials.html|tutorials]]and [[https://martinos.org/mne/stable/auto_examples/index.html|examples]]. |
Using MNE Python at the CBU
MNE is a software developed for EEG/MEG analysis at the Martinos Centre for Biomedical Imaging. It was originally developed for use under Linux (see e.g. MNE examples, and MNE at the CBU.
Recently, MNE has been integrated into Python for optimization and automatization, as described on the MNE-Python intro pages.
In order to use the latest MNE-Python version at the CBU, type
mne_python
in your Linux command window, which will run it in the iPython environment on one of the linux boxes 43-56. This might take a while to start - please be patient.
In order to use a specific version, type for example
mne_python -v 0.10
The best way to learn MNE-Python is to check out the tutorialsand examples.
If you are new to programming and scripting, you may want to look for some tutorials.
They provide a sample data set, and a large number of example analysis scripts that can be directly applied to those data.
It's all quite new and exciting, so any comments or feedback would be welcome! Please contact OlafHauk.