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Single-trial modeling separates multiple overlapping prediction errors during reward processing in human EEG

Learning signals during reinforcement learning and cognitive control rely on valenced reward prediction errors (RPEs) and non-valenced salience prediction errors (PEs) driven by surprise magnitude. A core debate in reward learning focuses on whether valenced and non-valenced PEs can be isolated in t...

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Detalles Bibliográficos
Autores principales: Hoy, Colin W., Steiner, Sheila C., Knight, Robert T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302587/
https://www.ncbi.nlm.nih.gov/pubmed/34302057
http://dx.doi.org/10.1038/s42003-021-02426-1