Original paper
Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?
Abstract
Computational psychiatry provides a powerful new approach for linking the behavioral manifestations of addiction to their precise cognitive and neurobiological substrates. However, this emerging area of research is still limited in important ways. While research has identified features of reinforcement learning and decision-making in substance users that differ from health, less emphasis has been placed on capturing addiction cycles/states...
Paper Details
Title
Computational theory-driven studies of reinforcement learning and decision-making in addiction: what have we learned?
Published Date
Apr 1, 2021
Volume
38
Pages
40 - 48
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History