Many of the effects of intelligence on health and social outcomes later in life are mediated via education.

Regulatory success operates by goal-consistent increases and decreases of distinct attribute representations in generic neural hubs and in domain-specific brain regions, explaining when and why regulatory success generalizes across domains and contexts.

Multivariate genotype-phenotype mapping enables quantification of pathway and process-level effects on complex phenotypes and predicts phenotypic effects of novel mutations.

The diversity of electrophysiological phenotypes of neurons in a functional network increases over development, but can be modulated, and even reduced by sensory experience; allowing them to adapt to a changing and growing brain.

Multivariate stochastic volatility models provide insights into understanding the dynamics and connectivity of neural signals during cognitive tasks.

Understanding others' pain is grounded in cognitive rather than sensory faculties.

Evidence for neuromodulatory control of flexibility in human neural models.

Neural representations are fast-evolving trajectories, and distinct components of these trajectories reappear during retrieval with distinct consequences for learning.

Treating color patterns in a geometric morphometrics framework reveals rapid rates of color evolution that are explained by a combination of intrinsic organismal features (color variation among patches) and geography within a cosmopolitan radiation of birds.

The consolidation of newly acquired motor skills induces a functional reorganization of sequential information representations within secondary motor cortex, basal ganglia and hippocampus.