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

During adolescence, youth venture out, explore the wider world, and are challenged to learn how to navigate novel and uncertain environments. We investigated how performance changes across adolescent development in a stochastic, volatile reversal-learning task that uniquely taxes the balance of pers...

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Detalles Bibliográficos
Autores principales: Eckstein, Maria K., Master, Sarah L., Dahl, Ronald E., Wilbrecht, Linda, Collins, Anne G.E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108470/
https://www.ncbi.nlm.nih.gov/pubmed/35537273
http://dx.doi.org/10.1016/j.dcn.2022.101106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9108470/
https://www.ncbi.nlm.nih.gov/pubmed/35537273
http://dx.doi.org/10.1016/j.dcn.2022.101106

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