Dopamine transients do not act as model-free prediction errors during associative learning

Dopamine neurons are proposed to signal the reward prediction error in model-free reinforcement learning algorithms. This term represents the unpredicted or ‘excess’ value of the rewarding event, value that is then added to the intrinsic value of any antecedent cues, contexts or events. To support t...

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Detalles Bibliográficos
Autores principales: Sharpe, Melissa J., Batchelor, Hannah M., Mueller, Lauren E., Yun Chang, Chun, Maes, Etienne J. P., Niv, Yael, Schoenbaum, Geoffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949299/
https://www.ncbi.nlm.nih.gov/pubmed/31913274
http://dx.doi.org/10.1038/s41467-019-13953-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949299/
https://www.ncbi.nlm.nih.gov/pubmed/31913274
http://dx.doi.org/10.1038/s41467-019-13953-1

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