Resources for an introductory course for signal processing in the MNE-Python and MNE-Connectivity packages.
Guided tutorials and exercises are provided as Jupyter notebooks in the Notebooks folder (see below for the topics).
Solutions for the notebooks are provided in the Teacher Resources/Notebooks folder.
Presentations introducing and concluding the topics are provided in the Presentations folder.
Some useful resources for Python beginners are provided in the Useful Python Links file.
Please follow the installation instructions before the course to set up your machine with all the required software.
Dates: 7th - 9th February 2024
Topics:
| Session | Day 1 | Day 2 | Day 3 |
|---|---|---|---|
| Morning | 1) Exploring data - notebook |
1) Working in source space: Forward and inverse modelling - notebook - presentation |
|
| 2) Spectral analysis: The time_frequency module- notebook - presentation |
2) Spectral connectivity: The mne_connectivity package- notebook - presentation |
||
| Afternoon | 0) Course introduction - presentation 1) Timeseries data: The Raw class- notebook - presentation |
3) Independent component analysis: The ICA class- notebook - presentation |
3) Spectral connectivity: Multivariate connectivity in MNE - notebook - presentation |
| 2) Epoched data: The Epochs class- notebook - presentation |
4) Event-related potentials: The Evoked class- notebook - presentation |
4) Closing discussion - presentation |
Morning sessions: 09:30 - 12:30
Afternoon sessions: 13:30 - 17:00
All times in CET.