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.

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Autores principales: Devika Narain, Evan D. Remington, Chris I. De Zeeuw, Mehrdad Jazayeri
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/99408eb0b9f447f8b7ecd40e18e23f5b
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