Dear all,
I have implemented temporal generalization analysis following the mne example:
https://mne.tools/dev/auto_examples/decoding/decoding_time_generalization_conditions.html
I now have for each participant a matrix (test time x train time) with the decoding scores for each test-train time point. Just like in the last figure of the mne example in the url above.
My next step should be to run a cluster analysis to identify any clusters that are significantly >50% accuracy at the group level.
I looked in the documentation for an example that could guide me, but I didn’t find one. I believe that something similar to doing statistics testing on a single channel TFR plot (frequency x time) could be easily adapted for my purposes.
Does anyone have an example or guidance for this?
Many thanks!
Ana P
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