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Updated: May 28, 2026
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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
Published on: May 10, 2019
When one race is not enough: A relay model explains multisensory response times
Kalvin Roberts1, Thomas U Otto1
1School of Psychology and Neuroscience, University of St. Andrews, St. Andrews, United Kingdom.
Plos Computational Biology
|May 26, 2026
Summary
The new relay model explains faster human responses to multisensory signals (redundant signal effect) by incorporating cross-modal initiation, improving upon the classical race model.
Area of Science:
- Cognitive Neuroscience
- Psychology
- Computational Neuroscience
Background:
- The redundant signal effect (RSE) describes faster human responses to multisensory stimuli compared to unisensory stimuli.
- The traditional race model explains RSE via statistical facilitation but often fails to predict observed response times, violating the race model inequality (RMI).
Purpose of the Study:
- To introduce and validate the relay model, an extension of the race model architecture, to better explain the RSE.
- To provide a mechanistically explicit and biologically plausible framework for multisensory decision-making.
Main Methods:
- Simulations of the relay model architecture.
- Fitting the relay model to existing empirical datasets on multisensory integration.
- Testing the model's ability to account for RSE under varying stimulus conditions (onset timing, intensity).
Main Results:
- The relay model accurately captures the magnitude and distributional shape of the RSE, including RMI violations.
- The model successfully explains changes in the RSE with asynchronous stimulus onsets and intensity manipulations.
- The relay model incorporates cross-modal initiation, partitioning unisensory processing into gating and decision stages.
Conclusions:
- The relay model offers a parsimonious yet powerful extension to the race model, better explaining multisensory integration.
- This framework provides a more accurate account of the dynamics underlying faster responses to multisensory signals.
- The relay model advances our understanding of the neural mechanisms involved in multisensory decision-making.
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