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The prediction of specific words is associated with distinct spatial and temporal patterns of neural activity within the left inferior and medial temporal regions before the predicted word is presented.

Sensory-evidence accumulation is a distributed cortical computation, but frontal cortical areas contribute to accumulation on longer timescales than posterior cortical areas.

Computational modelling reveals variations in people’s preferences towards integrating choice attributes using an additive or multiplicative approach, which affected whether the presence of valuable distractors facilitate or impair decision making.

Multimodal brain connectome analysis reveals patterns of structure–function coupling and links their developmental changes to cognitive function and transcriptomic architecture.

Neural processes for perception and confidence can be separated thanks to computational electroencephalography, thus revealing a neural circuit specific to metacognition.

A computational neural network model leverages a simple unsupervised learning principle to account for recent findings on when memories move apart (differentiate) or together (integrate) in the brain.

The rodent orbitofrontal cortex makes functionally distinct contributions to flexible behavioural control, even within a single putative orbitofrontal subregion, which has important implications for establishing homology between rodent and primate orbitofrontal cortex.

Multiple non-redundant features of non-rapid eye movement sleep are altered in schizophrenia and largely independent of waking electrophysiological abnormalities, supporting the promise of neuropsychiatric disease biomarkers based on a precise dissection of the sleep.

LSD induces a pattern of changed global brain connectivity characterized by hypo-connectivity in associative areas and hyper-connectivity across sensory and somatomotor areas that is dependent on the serotonin 2A receptor.