Literature DB >> 23616552

Principles of multisensory behavior.

Thomas U Otto1, Brice Dassy, Pascal Mamassian.   

Abstract

The combined use of multisensory signals is often beneficial. Based on neuronal recordings in the superior colliculus of cats, three basic rules were formulated to describe the effectiveness of multisensory signals: the enhancement of neuronal responses to multisensory compared with unisensory signals is largest when signals occur at the same location ("spatial rule"), when signals are presented at the same time ("temporal rule"), and when signals are rather weak ("principle of inverse effectiveness"). These rules are also considered with respect to multisensory benefits as observed with behavioral measures, but do they capture these benefits best? To uncover the principles that rule benefits in multisensory behavior, we here investigated the classical redundant signal effect (RSE; i.e., the speedup of response times in multisensory compared with unisensory conditions) in humans. Based on theoretical considerations using probability summation, we derived two alternative principles to explain the effect. First, the "principle of congruent effectiveness" states that the benefit in multisensory behavior (here the speedup of response times) is largest when behavioral performance in corresponding unisensory conditions is similar. Second, the "variability rule" states that the benefit is largest when performance in corresponding unisensory conditions is unreliable. We then tested these predictions in two experiments, in which we manipulated the relative onset and the physical strength of distinct audiovisual signals. Our results, which are based on a systematic analysis of response time distributions, show that the RSE follows these principles very well, thereby providing compelling evidence in favor of probability summation as the underlying combination rule.

Entities:  

Mesh:

Year:  2013        PMID: 23616552      PMCID: PMC6619564          DOI: 10.1523/JNEUROSCI.4678-12.2013

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  28 in total

1.  Deconstructing multisensory enhancement in detection.

Authors:  Mario Pannunzi; Alexis Pérez-Bellido; Alexandre Pereda-Baños; Joan López-Moliner; Gustavo Deco; Salvador Soto-Faraco
Journal:  J Neurophysiol       Date:  2014-12-17       Impact factor: 2.714

2.  Relative unisensory strength and timing predict their multisensory product.

Authors:  Ryan L Miller; Scott R Pluta; Barry E Stein; Benjamin A Rowland
Journal:  J Neurosci       Date:  2015-04-01       Impact factor: 6.167

3.  Multisensory integration is independent of perceived simultaneity.

Authors:  Vanessa Harrar; Laurence R Harris; Charles Spence
Journal:  Exp Brain Res       Date:  2016-11-21       Impact factor: 1.972

4.  Cross-Modal Competition: The Default Computation for Multisensory Processing.

Authors:  Liping Yu; Cristiano Cuppini; Jinghong Xu; Benjamin A Rowland; Barry E Stein
Journal:  J Neurosci       Date:  2018-12-20       Impact factor: 6.167

5.  Audiovisual detection at different intensities and delays.

Authors:  Chandramouli Chandrasekaran; Steven P Blurton; Matthias Gondan
Journal:  J Math Psychol       Date:  2019-07-02       Impact factor: 2.223

6.  Role of the anterior insular cortex in integrative causal signaling during multisensory auditory-visual attention.

Authors:  Tianwen Chen; Lars Michels; Kaustubh Supekar; John Kochalka; Srikanth Ryali; Vinod Menon
Journal:  Eur J Neurosci       Date:  2014-10-29       Impact factor: 3.386

Review 7.  Computational principles and models of multisensory integration.

Authors:  Chandramouli Chandrasekaran
Journal:  Curr Opin Neurobiol       Date:  2016-12-02       Impact factor: 6.627

8.  To bridge or not to bridge the multisensory time gap: bimanual coordination to sound and touch with temporal lags.

Authors:  C Roy; S Dalla Bella; J Lagarde
Journal:  Exp Brain Res       Date:  2016-09-21       Impact factor: 1.972

9.  Visual-somatosensory integration in aging: does stimulus location really matter?

Authors:  Jeannette R Mahoney; Cuiling Wang; Kristina Dumas; Roee Holtzer
Journal:  Vis Neurosci       Date:  2014-04-03       Impact factor: 3.241

10.  Interactions between space and effectiveness in human multisensory performance.

Authors:  Aaron R Nidiffer; Ryan A Stevenson; Juliane Krueger Fister; Zachary P Barnett; Mark T Wallace
Journal:  Neuropsychologia       Date:  2016-01-27       Impact factor: 3.139

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