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

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.

Correlated mutation analysis using a combination of amino acid and codon sequence alignments improves predictions of amino acid residue contacts in proteins.

Many experimentally identified microRNA-binding sites are ineffective at mediating repression, and an improved quantitative model for predicting the effective sites is as informative as high-throughput experimental approaches.

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

Pain processing in certain brain regions implements predictive coding principles, offering a novel perspective on the neural basis of pain perception.

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.

Prediction of future input explains diverse neural tuning properties in sensory cortex.