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Naïve Bayesian classifier performance (vertical line) and permutation distribution when trained on (A) prestimulus baseline connectivity, (B) prestimulus baseline activity amplitudes, and (C) the combination of prestimulus baseline activity amplitude and connectivity features. When trained on the combination of prestimulus activity and connectivity features, the classifier predicted the upcoming percepts with substantially higher precision than using prestimulus activity alone.
