Computational modeling, and empirical behavioral and EEG results show that learning relies not only on comparing current events to past experience, but integrates response-based outcome predictions and confidence.
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.
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.
Tumor immunogenicity is quantified with a novel method, and the resulting tumor immunogenicity score is an effective tumor-inherent biomarker for prediction of response to immune checkpoint inhibitors.
Co-evolving residue pairs in the different components of a protein complex almost always make contact across the protein–protein interface, thus providing powerful restraints for the modeling of protein complexes.
Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.