Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
A theory of efficient coding wherein the precision of representations is endogenous, task-dependent, and prior-dependent predicts scaling laws for imprecision and is supported by numerosity perception experiments with humans.
