Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices

The recent years have witnessed a dramatic increase in the use of reinforcement learning (RL) models in social, cognitive and affective neuroscience. This approach, in combination with neuroimaging techniques such as functional magnetic resonance imaging, enables quantitative investigations into lat...

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Detalles Bibliográficos
Autores principales: Zhang, Lei, Lengersdorff, Lukas, Mikus, Nace, Gläscher, Jan, Lamm, Claus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Manuscript
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393303/
https://www.ncbi.nlm.nih.gov/pubmed/32608484
http://dx.doi.org/10.1093/scan/nsaa089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393303/
https://www.ncbi.nlm.nih.gov/pubmed/32608484
http://dx.doi.org/10.1093/scan/nsaa089

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