The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration

The capacity to rapidly adjust perceptual representations confers a fundamental advantage when confronted with a constantly changing world. Unexplored is how feedback regarding sensory judgments (top-down factors) interacts with sensory statistics (bottom-up factors) to drive long- and short-term re...

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Main Authors: Matthew A. De Niear, Jean-Paul Noel, Mark T. Wallace
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2017/3478742
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author Matthew A. De Niear
Jean-Paul Noel
Mark T. Wallace
author_facet Matthew A. De Niear
Jean-Paul Noel
Mark T. Wallace
author_sort Matthew A. De Niear
collection DOAJ
description The capacity to rapidly adjust perceptual representations confers a fundamental advantage when confronted with a constantly changing world. Unexplored is how feedback regarding sensory judgments (top-down factors) interacts with sensory statistics (bottom-up factors) to drive long- and short-term recalibration of multisensory perceptual representations. Here, we examined the time course of both cumulative and rapid temporal perceptual recalibration for individuals completing an audiovisual simultaneity judgment task in which they were provided with varying degrees of feedback. We find that in the presence of feedback (as opposed to simple sensory exposure) temporal recalibration is more robust. Additionally, differential time courses are seen for cumulative and rapid recalibration dependent upon the nature of the feedback provided. Whereas cumulative recalibration effects relied more heavily on feedback that informs (i.e., negative feedback) rather than confirms (i.e., positive feedback) the judgment, rapid recalibration shows the opposite tendency. Furthermore, differential effects on rapid and cumulative recalibration were seen when the reliability of feedback was altered. Collectively, our findings illustrate that feedback signals promote and sustain audiovisual recalibration over the course of cumulative learning and enhance rapid trial-to-trial learning. Furthermore, given the differential effects seen for cumulative and rapid recalibration, these processes may function via distinct mechanisms.
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spelling doaj-art-05d0ab43e2c64809844af6975e5e08152025-02-03T01:31:45ZengWileyNeural Plasticity2090-59041687-54432017-01-01201710.1155/2017/34787423478742The Impact of Feedback on the Different Time Courses of Multisensory Temporal RecalibrationMatthew A. De Niear0Jean-Paul Noel1Mark T. Wallace2Medical Scientist Training Program, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USAVanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USAVanderbilt Brain Institute, Vanderbilt University Medical School, Vanderbilt University, Nashville, TN 37235, USAThe capacity to rapidly adjust perceptual representations confers a fundamental advantage when confronted with a constantly changing world. Unexplored is how feedback regarding sensory judgments (top-down factors) interacts with sensory statistics (bottom-up factors) to drive long- and short-term recalibration of multisensory perceptual representations. Here, we examined the time course of both cumulative and rapid temporal perceptual recalibration for individuals completing an audiovisual simultaneity judgment task in which they were provided with varying degrees of feedback. We find that in the presence of feedback (as opposed to simple sensory exposure) temporal recalibration is more robust. Additionally, differential time courses are seen for cumulative and rapid recalibration dependent upon the nature of the feedback provided. Whereas cumulative recalibration effects relied more heavily on feedback that informs (i.e., negative feedback) rather than confirms (i.e., positive feedback) the judgment, rapid recalibration shows the opposite tendency. Furthermore, differential effects on rapid and cumulative recalibration were seen when the reliability of feedback was altered. Collectively, our findings illustrate that feedback signals promote and sustain audiovisual recalibration over the course of cumulative learning and enhance rapid trial-to-trial learning. Furthermore, given the differential effects seen for cumulative and rapid recalibration, these processes may function via distinct mechanisms.http://dx.doi.org/10.1155/2017/3478742
spellingShingle Matthew A. De Niear
Jean-Paul Noel
Mark T. Wallace
The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
Neural Plasticity
title The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
title_full The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
title_fullStr The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
title_full_unstemmed The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
title_short The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration
title_sort impact of feedback on the different time courses of multisensory temporal recalibration
url http://dx.doi.org/10.1155/2017/3478742
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