A study of 3,500 children in the UK shows that data on socioeconomic background and previous educational achievements can better predict how students will perform at school than genetic data.

Dopamine neurons function as an ensemble to signal a multidimensional feature prediction error.

Using data for 2566 COVID-19 patients from five hospitals, models are developed to predict for each patient hospitalization and critical care needs, based on demographics, comorbidities, medications, and laboratory findings.

The prediction accuracies of polygenic scores in humans vary depending on the characteristics of the samples, as well as based on the study design, within a single ancestry group.

A computational method identifies the functions of orphan enzymes by organizing them into metabolic pathways; the prediction of a new l-gulonate catabolic pathway is experimentally tested and confirmed.

A new type of implicit effects on one's actions induced by prediction errors during action observation is discovered.

Midbrain dopamine neurons in rats signal discrepancies between predicted and actual rewards, regardless of whether the rewards are predicted on the basis of experience or inference.

The anticipation of rewards turns out to have its own hedonic value, on top of that of the reward itself; a wide range of behavioral and neurophysiological data suggest that this anticipation is boosted by prediction errors.

Activity in the midbrain responds to unexpected changes in outcome identity (i.e. sensory prediction error) but does not scale with perceptual distance between expected and receipt reward.

Large-scale replication study with brain potentials challenges the view that people routinely predict the phonological form of a predictable word during language comprehension.