If you are new to MNE, consider first reading the Cookbook, as it gives some simple steps for starting with analysis. The other sections provide more in-depth information about how to use the software. You can also jump to the Python API Reference for specific Python function and class usage information.
Contents
How to get your raw data loaded in MNE.
Dealing with artifacts and noise sources in data.
Projecting raw data into source (brain) space.
Decomposing time-domain signals into time-frequency representations.
Using parametric and non-parametric tests with M/EEG data.
Information about the MATLAB toolbox.
More details about our implementations and software.