Over half a century of research focused on understanding how working memory is capacity
constrained has overshadowed the fact that it is also remarkably resistant to interference …

Highlights•The combination of data-driven machine learning and theory-driven
computational models holds great promise for psychiatry.•Machine-learning analyses of …

Executive functions demonstrate variable developmental and aging profiles, with protracted
development into early adulthood and declines in older age. However, relatively few studies …

Understanding normal brain aging and developing methods to maintain or improve
cognition in older adults are major goals of fundamental and translational neuroscience …

Improvements in understanding the neurobiological basis of mental illness have
unfortunately not translated into major advances in treatment. At this point, it is clear that …

Importance Major depressive disorder (MDD) is associated with deficits in representing
reward prediction errors (RPEs), which are the difference between experienced and …

Sophisticated video games that integrate engaging cognitive training with real-time
biosensing and neurostimulation have the potential to optimize cognitive performance in …

Signal transmission in the brain propagates via distinct oscillatory frequency bands but the
aperiodic component, 1/f activity, almost always co-exists which most of the previous studies …

Inhibitory theory suggests that a major determinant of individual differences in cognitive
performance (including differences that are typically observed with increasing age) is the …

The goal of this review article is to provide a resource for longitudinal studies, using animal
models, directed at understanding and modifying the relationship between cognition and …