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Related Experiment Video

Updated: Jul 23, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Probabilistic modelling of microtiming perception.

Thomas Kaplan¹, Lorenzo Jamone², Marcus Pearce³

¹School of Electronic Engineering & Computer Science, Queen Mary University of London, London, United Kingdom.

|July 13, 2023

Summary

This summary is machine-generated.

Listeners can perceive subtle timing variations in music (microtiming) by implicitly predicting rhythmic patterns. This suggests brain processes involving probabilistic inference underlie our sense of musical rhythm.

Keywords:

Bayesian inference Microtiming Music cognition Rhythm perception

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Last Updated: Jul 23, 2025

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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Published on: January 23, 2017

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Published on: March 16, 2015

A Two-interval Forced-choice Task for Multisensory Comparisons

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Published on: November 9, 2018

Area of Science:

Cognitive Neuroscience
Auditory Perception
Music Cognition

Background:

Music performances feature microtiming, subtle temporal deviations crucial for expression but difficult to notate.
Existing research on microtiming perception lacks clarity on underlying cognitive mechanisms.

Purpose of the Study:

To investigate the cognitive mechanisms of microtiming perception.
To model microtiming perception as a probabilistic prediction process.

Main Methods:

An XAB discrimination test using a popular drum rhythm with varied microtiming.
Employing a Bayesian model of entrainment to simulate listener responses.

Main Results:

Listeners implicitly discriminated the mean and variance of microtiming in auditory stimuli.
A Bayesian entrainment model accurately simulated discrimination performance.
Individual differences in sensitivity correlated with a parameter related to neural timekeeping noise.

Conclusions:

Microtiming perception involves continuous probabilistic inference.
Neural processes akin to noisy timekeeping may explain individual differences in rhythmic sensitivity.
This inferential process may drive subjective judgments of musical 'feel'.