Time-resolved decoding of EEG reveals the nature of representations of upcoming actions and how the planned action is selected from working memory.

Early visual cortex (V1) and hippocampal cortex represent a predictive map of the visual world akin to the successor representation.

A recurrent network using a simple, biologically plausible learning rule can learn the successor representation, suggesting that long-horizon predictions are computations that are easily accessible in neural circuits.

The consolidation of newly acquired motor skills induces a functional reorganization of sequential information representations within secondary motor cortex, basal ganglia and hippocampus.

Representational similarity analysis of human functional magnetic resonance imaging data demonstrates that the lateral occipitotemporal cortex represents action knowledge along dimensions that are in accordance with behavioural judgements.

Ventro-lateral prefrontal cortex codes novel rules starting from their first-time implementation right after instruction while early consolidation is channeled through increasing cooperation with the anterior striatum.

Impoverished access to natural human language during early childhood reduces semantic structure encoding in the left dorsal anterior temporal lobe, which provides positive evidence for the role of language in forming specific neural semantic representations in the human brain.

Dual site recordings of mouse anterodorsal thalamic nucleus and retrosplenial cortex reveal near 0-ms lag between the head direction representations of the two regions after cue rotations and correlated drift in darkness.

THINGS-data reflects three large-scale neuroimaging and behavioral datasets of object processing in humans, comprising densely sampled functional MRI and magnetoencephalographic recordings, as well as 4.70 million similarity judgments in response to thousands of photographic images for up to 1854 objects.

Hippocampal learning in dentate gyrus follows a U-shaped function, with moderate, but not high or low, overlap between representations leading to differentiation of neural patterns.