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...

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Bibliographic Details
Main Authors: Stefano Palminteri, Emma J Kilford, Giorgio Coricelli, Sarah-Jayne Blakemore
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-06-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC4920542?pdf=render

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