Late Bayesian inference in mental transformations

Many skills rely on performing noisy mental computations on noisy sensory measurements. Bayesian models suggest that humans compensate for measurement noise and reduce behavioral variability by biasing perception toward prior expectations. Whether a similar strategy is employed to compensate for noi...

Descripción completa

Detalles Bibliográficos
Autores principales: Remington, Evan D., Parks, Tiffany V., Jazayeri, Mehrdad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200789/
https://www.ncbi.nlm.nih.gov/pubmed/30356049
http://dx.doi.org/10.1038/s41467-018-06726-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200789/
https://www.ncbi.nlm.nih.gov/pubmed/30356049
http://dx.doi.org/10.1038/s41467-018-06726-9

Ejemplares similares