O1.3. A COMPUTATIONAL TRIAL-BY-TRIAL EEG ANALYSIS OF HIERARCHICAL PRECISION-WEIGHTED PREDICTION ERRORS

BACKGROUND: Action optimisation relies on learning about past decisions and on accumulated knowledge about the stability of the environment. In Bayesian models of learning, belief updating is informed by multiple, hierarchically related, precision-weighted prediction errors (pwPEs). Recent work sugg...

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Detalles Bibliográficos
Autores principales: Tomiello, Sara, Schöbi, Dario, Weber, Lilian, Haker, Helene, Sandra, Iglesias, Stephan, Klaas Enno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5888161/
http://dx.doi.org/10.1093/schbul/sby015.185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5888161/
http://dx.doi.org/10.1093/schbul/sby015.185

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