Modeling sensory-motor decisions in natural behavior

Although a standard reinforcement learning model can capture many aspects of reward-seeking behaviors, it may not be practical for modeling human natural behaviors because of the richness of dynamic environments and limitations in cognitive resources. We propose a modular reinforcement learning mode...

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Detalles Bibliográficos
Autores principales: Zhang, Ruohan, Zhang, Shun, Tong, Matthew H., Cui, Yuchen, Rothkopf, Constantin A., Ballard, Dana H., Hayhoe, Mary M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219815/
https://www.ncbi.nlm.nih.gov/pubmed/30359364
http://dx.doi.org/10.1371/journal.pcbi.1006518

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219815/
https://www.ncbi.nlm.nih.gov/pubmed/30359364
http://dx.doi.org/10.1371/journal.pcbi.1006518

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