Modeling Changes in Probabilistic Reinforcement Learning during Adolescence
Liyu Xia, Sarah L. Master, Maria Katharina Eckstein, Beth Baribault, Ronald E. Dahl, Linda Wilbrecht, Anne Gabrielle Eva Collins
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.
PLoS Computational Biology · Jul 1, 2021Peer-reviewedNeuroscience