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.

Bibliographic Details
Main Authors: Devika Narain, Evan D. Remington, Chris I. De Zeeuw, Mehrdad Jazayeri
Format: Article
Language:English
Published: Nature Publishing Group 2018-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-017-02516-x