Social learning through prediction error in the brain
Abstract Learning about the world is critical to survival and success. In social animals, learning about others is a necessary component of navigating the social world, ultimately contributing to increasing evolutionary fitness. How humans and nonhuman animals represent the internal states and exper...
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2017-06-01
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doaj-51a6e561d69949768a1401e2f8cd49082020-12-07T23:15:58ZengNature Publishing Groupnpj Science of Learning2056-79362017-06-01211910.1038/s41539-017-0009-2Social learning through prediction error in the brainJessica Joiner0Matthew Piva1Courtney Turrin2Steve W. C. Chang3Department of Psychology, Yale UniversityDepartment of Neuroscience, Yale School of MedicineDepartment of Psychology, Yale UniversityDepartment of Psychology, Yale UniversityAbstract Learning about the world is critical to survival and success. In social animals, learning about others is a necessary component of navigating the social world, ultimately contributing to increasing evolutionary fitness. How humans and nonhuman animals represent the internal states and experiences of others has long been a subject of intense interest in the developmental psychology tradition, and, more recently, in studies of learning and decision making involving self and other. In this review, we explore how psychology conceptualizes the process of representing others, and how neuroscience has uncovered correlates of reinforcement learning signals to explore the neural mechanisms underlying social learning from the perspective of representing reward-related information about self and other. In particular, we discuss self-referenced and other-referenced types of reward prediction errors across multiple brain structures that effectively allow reinforcement learning algorithms to mediate social learning. Prediction-based computational principles in the brain may be strikingly conserved between self-referenced and other-referenced information.https://doi.org/10.1038/s41539-017-0009-2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jessica Joiner Matthew Piva Courtney Turrin Steve W. C. Chang |
spellingShingle |
Jessica Joiner Matthew Piva Courtney Turrin Steve W. C. Chang Social learning through prediction error in the brain npj Science of Learning |
author_facet |
Jessica Joiner Matthew Piva Courtney Turrin Steve W. C. Chang |
author_sort |
Jessica Joiner |
title |
Social learning through prediction error in the brain |
title_short |
Social learning through prediction error in the brain |
title_full |
Social learning through prediction error in the brain |
title_fullStr |
Social learning through prediction error in the brain |
title_full_unstemmed |
Social learning through prediction error in the brain |
title_sort |
social learning through prediction error in the brain |
publisher |
Nature Publishing Group |
series |
npj Science of Learning |
issn |
2056-7936 |
publishDate |
2017-06-01 |
description |
Abstract Learning about the world is critical to survival and success. In social animals, learning about others is a necessary component of navigating the social world, ultimately contributing to increasing evolutionary fitness. How humans and nonhuman animals represent the internal states and experiences of others has long been a subject of intense interest in the developmental psychology tradition, and, more recently, in studies of learning and decision making involving self and other. In this review, we explore how psychology conceptualizes the process of representing others, and how neuroscience has uncovered correlates of reinforcement learning signals to explore the neural mechanisms underlying social learning from the perspective of representing reward-related information about self and other. In particular, we discuss self-referenced and other-referenced types of reward prediction errors across multiple brain structures that effectively allow reinforcement learning algorithms to mediate social learning. Prediction-based computational principles in the brain may be strikingly conserved between self-referenced and other-referenced information. |
url |
https://doi.org/10.1038/s41539-017-0009-2 |
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AT jessicajoiner sociallearningthroughpredictionerrorinthebrain AT matthewpiva sociallearningthroughpredictionerrorinthebrain AT courtneyturrin sociallearningthroughpredictionerrorinthebrain AT stevewcchang sociallearningthroughpredictionerrorinthebrain |
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