Expectancy-based rhythmic entrainment as continuous Bayesian inference.

ABSTRACT: When presented with complex rhythmic auditory stimuli, humans are able to track underlying temporal structure (e.g., a "beat"), both covertly and with their movements. This capacity goes far beyond that of a simple entrained oscillator, drawing on contextual and enculturated timing expectations and adjusting rapidly to perturbations in event timing, phase, and tempo. Previous modeling work has described how entrainment to rhythms may be shaped by event timing expectations, but sheds little light on any underlying computational principles that could unify the phenomenon of expectation-based entrainment with other brain processes. Inspired by the predictive processing framework, we propose that the problem of rhythm tracking is naturally characterized as a problem of continuously estimating

SUBMITTER: Cannon J 

PROVIDER: S-EPMC8216548 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature