Sarah L. Master

This study investigates how cognitive effort affects neural representations during working memory using fMRI, finding that frontal cortex activity predicts visual cortex decoding accuracy during effortful trials.

The paper decomposes the costs of cognitive effort by analyzing wage requests for cognitive tasks and identifies specific working memory components that are costly.

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