The Computational Development of Reinforcement Learning during Adolescence.
Adolescence is a period of life characterised by changes in learning and decision-making. Learning and decision-making do not rely on a unitary system, but instead require the coordination of different cognitive processes that can be mathematically formalised as dissociable computational modules. He...
Main Authors: | Stefano Palminteri, Emma J Kilford, Giorgio Coricelli, Sarah-Jayne Blakemore |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-06-01
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Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC4920542?pdf=render |
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