MEEG time generalization¶
Requirements¶
This exercise requires a separate dataset named meg-obj6; see download section. It also requires a working installation of FieldTrip.
Reading material¶
The time generalization method¶
Load the meg-obj6 data. Assign targets and chunks, then select only posterior gradiometer sensors in the time interval between 0 and 300 ms relative to stimulus onset. Then reduce the number of chunks to two (using cosmo chunkize) to get a train and test set.
Use cosmo dim generalization measure for the time dimension, together with cosmo classify lda and cosmo crossvalidation measure to train for all time points in the 0-300 ms interval, and for each time point, test the classifier for each time point in the same interval. Display the resulting time-by-time classification accuracy matrix using imagesc
Template: run meeg time generalization skl
Check your answers here: run meeg time generalization / Matlab output: run_meeg_time_generalization
