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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...
Autores principales: | Hoy, Colin W., Steiner, Sheila C., Knight, Robert T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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 |
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