A cerebellar mechanism for learning prior distributions of time intervals
Human timing behavior is biased towards previously encountered intervals and is predicted by Bayesian models. Here, the authors develop a computational model based in properties of the cerebellum to show how we might encode time estimates based on prior experience.
Guardado en:
Autores principales: | Devika Narain, Evan D. Remington, Chris I. De Zeeuw, Mehrdad Jazayeri |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/99408eb0b9f447f8b7ecd40e18e23f5b |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Late Bayesian inference in mental transformations
por: Evan D. Remington, et al.
Publicado: (2018) -
A FN-MdV pathway and its role in cerebellar multimodular control of sensorimotor behavior
por: Xiaolu Wang, et al.
Publicado: (2020) -
Impaired cerebellar Purkinje cell potentiation generates unstable spatial map orientation and inaccurate navigation
por: Julie Marie Lefort, et al.
Publicado: (2019) -
A neural circuit model for human sensorimotor timing
por: Seth W. Egger, et al.
Publicado: (2020) -
Cerebellar motor learning: when is cortical plasticity not enough?
por: John Porrill, et al.
Publicado: (2007)