Ronald E. Dahl

This study examines the relationship between cortical gyrification and sleep patterns in adolescents and young adults, identifying both stable and age-specific associations.

The paper investigates assumptions about parameter generalization and interpretability in reinforcement learning models across different tasks and participants.

This study finds adolescents outperform younger and older participants in a stochastic reversal-learning task, with optimal RL and BI parameters and unique processing of positive feedback.

This study investigates how probabilistic reinforcement learning changes with age during adolescence and adulthood, finding increased learning rates and decreased exploration with age, and a link between testosterone and learning rates in mid-adolescence.

This study examines how sleep patterns relate to gray matter structure across adolescence, finding both stable and developmentally-specific associations in different brain regions.

This study investigates how reinforcement learning and working memory contribute to learning changes during adolescence, finding greater developmental changes in reinforcement learning than working memory.

This study examines subcortical brain volume changes across adolescence in males and females using three longitudinal samples, finding sex differences but inconsistent trajectories across samples.