Differential effects of reward and punishment in decision making under uncertainty: a computational study

Computational models of learning have proved largely successful in characterizing potential mechanisms which allow humans to make decisions in uncertain and volatile contexts. We report here findings that extend existing knowledge and show that a modified reinforcement learning model, which has sepa...

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Detalles Bibliográficos
Autores principales: Duffin, Elaine, Bland, Amy R., Schaefer, Alexandre, de Kamps, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930867/
https://www.ncbi.nlm.nih.gov/pubmed/24600342
http://dx.doi.org/10.3389/fnins.2014.00030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3930867/
https://www.ncbi.nlm.nih.gov/pubmed/24600342
http://dx.doi.org/10.3389/fnins.2014.00030

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