Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and computational theories with which we can disentangle psychiatric conditions into the basic dimensions of neurocognitive functioning. RLDM offer a novel approach to assessing and potentially diagnosing psychiatric...

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Detalles Bibliográficos
Autores principales: Ahn, Woo-Young, Haines, Nathaniel, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869013/
https://www.ncbi.nlm.nih.gov/pubmed/29601060
http://dx.doi.org/10.1162/CPSY_a_00002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5869013/
https://www.ncbi.nlm.nih.gov/pubmed/29601060
http://dx.doi.org/10.1162/CPSY_a_00002

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