Understanding how learning changes during human development has been one of the long-standing objectives of developmental science. Recently, advances in computational biology have demonstrated that humans display a bias when learning to navigate novel environments through rewards and punishments: they learn more from outcomes that confirm their expectations than from outcomes that disconfirm them. Here, we ask whether confirmatory learning is stable across development, or whether it might be attenuated in developmental stages in which exploration is beneficial, such as in adolescence.
View Article and Find Full Text PDF(15)N metabolic labeling-based quantitative proteomics is used for the identification of disease- and phenotype-related alterations in live organisms. The variability of (15)N metabolic labeling proteomics workflows has been assessed in plants and bacteria. However, no study has addressed this topic in mice.
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