Reinforcement learning and Bayesian inference provide complementary models for the unique advantage of adolescents in stochastic reversal

por Eckstein, Maria K., Master, Sarah L., Dahl, Ronald E., Wilbrecht, Linda, Collins, Anne G.E.
Publicado 2022

Distentangling the systems contributing to changes in learning during adolescence

por Master, Sarah L., Eckstein, Maria K., Gotlieb, Neta, Dahl, Ronald, Wilbrecht, Linda, Collins, Anne G.E.
Publicado 2019

The interpretation of computational model parameters depends on the context

por Eckstein, Maria Katharina, Master, Sarah L, Xia, Liyu, Dahl, Ronald E, Wilbrecht, Linda, Collins, Anne GE
Publicado 2022

Modeling changes in probabilistic reinforcement learning during adolescence

por Xia, Liyu, Master, Sarah L., Eckstein, Maria K., Baribault, Beth, Dahl, Ronald E., Wilbrecht, Linda, Collins, Anne Gabrielle Eva
Publicado 2021

Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach

por Sargent, Kaia, Chavez-Baldini, UnYoung, Master, Sarah L., Verweij, Karin J.H., Lok, Anja, Sutterland, Arjen L., Vulink, Nienke C., Denys, Damiaan, Smit, Dirk J.A., Nieman, Dorien H.
Publicado 2021