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.
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2018-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-02516-x |