- MNE version: 1.4.2
- operating system: Ubuntu 22.04
Hello everyone!
We are trying to create an event structure in which to each event is associated a different number of covariates (e.g., event 1 can have uniqueness point, surprisal, phoneme onset, entropy, event 2 has phoneme surprisal, word surprisal, entropy etc etc). We were wondering what is the best way to do it in MNE given the type of structure that the package requires. We were thinking of using linear_regression_raw to then estimate the various regressors.
Do you have suggestions concerning what is the best way to do this in MNE? Do you suggest maybe to do this in scikit-learn?
Thanks in advance, I hope to have given all the necessary infos, it is the first time I try to ask a question on a forum.