Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

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The phase of cortical activity, measured in the gray matter, is organized at multiple spatial scales, with the largest scales explaining most variance in phase at a given temporal frequency.