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Decoding brain activity using a novel paradigm unveils distinct neural signatures of subjective experiences during movie-watching.

A novel methodological strategy based on machine learning has been developed to study brain evolution across species.

A novel deep-learning-based computational method using object recognition to quantify visual context in naturalistic, multimodal stimuli demonstrates that a concept's perceived abstractness or concreteness dynamically depends on its visual context.

Pain expectation processing shifts from uniform anticipatory activation to valence-specific differentiation during sensory input.

Interactions between attention systems and the default mode network are linked to individual differences in trait and state-level experience and cognition.