Models that learn how humans learn: The case of decision-making and its disorders

Popular computational models of decision-making make specific assumptions about learning processes that may cause them to underfit observed behaviours. Here we suggest an alternative method using recurrent neural networks (RNNs) to generate a flexible family of models that have sufficient capacity t...

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Detalles Bibliográficos
Autores principales: Dezfouli, Amir, Griffiths, Kristi, Ramos, Fabio, Dayan, Peter, Balleine, Bernard W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588260/
https://www.ncbi.nlm.nih.gov/pubmed/31185008
http://dx.doi.org/10.1371/journal.pcbi.1006903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588260/
https://www.ncbi.nlm.nih.gov/pubmed/31185008
http://dx.doi.org/10.1371/journal.pcbi.1006903

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