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Neurocomputational mechanisms of prosocial learning and links to empathy

Reinforcement learning theory powerfully characterizes how we learn to benefit ourselves. In this theory, prediction errors—the difference between a predicted and actual outcome of a choice—drive learning. However, we do not operate in a social vacuum. To behave prosocially we must learn the consequ...

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Detalhes bibliográficos
Publicado no:Proc Natl Acad Sci U S A
Main Authors: Lockwood, Patricia L., Apps, Matthew A. J., Valton, Vincent, Viding, Essi, Roiser, Jonathan P.
Formato: Artigo
Idioma:Inglês
Publicado em: National Academy of Sciences 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5024617/
https://ncbi.nlm.nih.gov/pubmed/27528669
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1603198113
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