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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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| Publicado no: | Proc Natl Acad Sci U S A |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2016
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| 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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