September 2018
Volume 18, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2018
Representational dynamics of perceptual mean of sequentially presented objects varies with sequence variability
Author Affiliations
  • Jongrok Do
    Center for Cognition and Sociality, Institute for Basic Science
  • Kang Yong Eo
    Center for Cognition and Sociality, Institute for Basic Science
  • Oliver James
    Center for Neuroscience Imaging Research, Institute for Basic Science
  • Sangkyu Son
    Center for Cognition and Sociality, Institute for Basic Science
  • Joonyeol Lee
    Center for Neuroscience Imaging Research, Institute for Basic ScienceDepartment of Biomedical Engineering, Sungkyunkwan University
  • Yee-Joon Kim
    Center for Cognition and Sociality, Institute for Basic Science
Journal of Vision September 2018, Vol.18, 1057. doi:10.1167/18.10.1057
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      Jongrok Do, Kang Yong Eo, Oliver James, Sangkyu Son, Joonyeol Lee, Yee-Joon Kim; Representational dynamics of perceptual mean of sequentially presented objects varies with sequence variability. Journal of Vision 2018;18(10):1057. doi: 10.1167/18.10.1057.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Our ability to extract accurate statistical mean from a set of items delivered sequentially over time is known to be limited by the degree of inter-item variability. However, neural mechanisms underlying such parametric relationship between the error of perceptual mean and inter-item variability remain poorly understood. Here we record electroencephalography (EEG) during multi-item perceptual mean orientation judgment task, and use a forward encoding model to directly recover information about the item orientation and the mean orientation of a sequence. Thus, we investigate the full representational dynamics across every single stage of perceptual mean computation of sequentially presented items as a function of inter-item variability. Observers viewed a sequence of ten randomly oriented Gabor patches presented centrally every 600 ms, and reported the orientation of their mean by adjusting a red probe bar, preceded by a blank period. Each sequence had either small or large orientation variance. During the blank period just before the perceptual mean judgment, cross-generalization between item and mean coding reveals that mean orientation is more accurately represented when the sequence is less variable and the accuracy of this recovered mean orientation also predicts behavioral performance of perceptual mean computation on a trial-by-trial basis. We also found that neural representation of mean orientation gradually becomes more precise toward the end of a sequence with small fluctuation whereas orientation encoding of each serially delivered item was equally precise regardless of sequence fluctuation. Our results indicate that the inverse relationship between the accuracy of perceptual mean and inter-item variability originates from the stage of accumulating evidence over time rather than the stage of encoding each individual item.

Meeting abstract presented at VSS 2018

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