Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Credit Assignment in Multiple Goal Embodied Visuomotor Behavior
por: Rothkopf, Constantin A., et al.
Publicado: (2010) -
A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity
por: Wang, Quan, et al.
Publicado: (2017) -
Davida Teller Award Lecture 2017: What can be learned from natural behavior?
por: Hayhoe, Mary M.
Publicado: (2018) -
Predicting human visuomotor behaviour in a driving task
por: Johnson, Leif, et al.
Publicado: (2014) -
Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics
por: Neupärtl, Nils, et al.
Publicado: (2020)