Contents
Examples demonstrating connectivity analysis in sensor and source space.
Decoding, encoding, and general machine learning examples.
From BEM segmentation, coregistration, setting up source spaces to actual computation of forward solution.
Estimate source activations, extract activations in labels, morph data between subjects etc.
Reading and writing files. See also our Documentation on manipulating data structures.
Receive data from an MNE Real-time server (mne_rt_server, part of MNE-CPP), compute real-time moving averages, etc.
Some examples of how to explore time-frequency content of M/EEG data with MNE.