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Related Experiment Video

Updated: Jun 7, 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

Precision-based causal inference modulates audiovisual temporal recalibration.

Luhe Li¹, Fangfang Hong², Stephanie Badde³

¹Department of Psychology, New York University.

Biorxiv : the Preprint Server for Biology

|November 18, 2024

Summary

This summary is machine-generated.

Cross-modal temporal recalibration stabilizes perception by adjusting for audiovisual delays. Causal inference, considering stimulus origins, and modality-specific timing precision are key to this process.

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Area of Science:

Neuroscience
Perception
Cognitive Science

Background:

Stable temporal perception is crucial for navigating dynamic environments.
Mechanisms underlying cross-modal temporal recalibration remain largely unknown.
Audiovisual temporal recalibration adjusts perception based on sensory input timing.

Purpose of the Study:

To investigate the underlying mechanisms of cross-modal temporal recalibration.
To determine how audiovisual temporal delays influence human temporal perception.
To compare computational models explaining audiovisual temporal recalibration.

Main Methods:

Experimental manipulation of audiovisual stimulus asynchrony.
Measurement of temporal perception recalibration effects.
Comparison of six observer models using Bayesian model comparison.
Evaluation of modality-specific versus modality-independent precision in arrival latency.

Main Results:

Recalibration effects plateaued with increasing audiovisual asynchrony.
Recalibration varied based on which modality (auditory or visual) led.
A causal-inference process combined with modality-specific precision best explained the observed nonlinear and asymmetric recalibration.
Neither the asynchrony-contingent nor the asynchrony-correction models fully captured the data.

Conclusions:

Audiovisual temporal recalibration involves causal-inference processes similar to those in general cross-modal perception.
Modality-specific precision of arrival latency is essential for accurate modeling of temporal recalibration.
The findings support a unified framework for understanding cross-modal temporal processing.