September 2021
Volume 21, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2021
Can I trust in what I see? – EEG evidence for reliability estimations of perceptual outcomes
Author Affiliations & Notes
  • Jürgen Kornmeier
    Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
    Department of Psychiatry and Psychotherapy Medical Center, University of Freiburg, Germany
    Faculty of Medicine, University of Freiburg, Freiburg, Germany
  • Anne Giersch
    INSERM U1114, Cognitive Neuropsychology and Pathophysiology of Schizophrenia, University of Strasbourg, Strasbourg, France
  • Sven Heinrich
    Section for Functional Vision Research, Eye Center, Medical Center, University of Freiburg, Germany
    Faculty of Medicine, University of Freiburg, Freiburg, Germany
  • Kriti Bhatia
    Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
  • Lukas Hecker
    Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
    Faculty of Medicine, University of Freiburg, Freiburg, Germany
    Clinic for Psychosomatic Medicine and Psychotherapy Freiburg, Germany
  • Ellen Joos
    INSERM U1114, Cognitive Neuropsychology and Pathophysiology of Schizophrenia, University of Strasbourg, Strasbourg, France
  • Ludger Tebartz van Elst
    Department of Psychiatry and Psychotherapy Medical Center, University of Freiburg, Germany
    Faculty of Medicine, University of Freiburg, Freiburg, Germany
  • Footnotes
    Acknowledgements  We thank the Deutsche Forschungsgemeinschaft (KO 4764/1-1, TE 280/8-1) and the Neurex (Neuroscience Upper Rhine Network) for financial support.
Journal of Vision September 2021, Vol.21, 2836. doi:https://doi.org/10.1167/jov.21.9.2836
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      Jürgen Kornmeier, Anne Giersch, Sven Heinrich, Kriti Bhatia, Lukas Hecker, Ellen Joos, Ludger Tebartz van Elst; Can I trust in what I see? – EEG evidence for reliability estimations of perceptual outcomes. Journal of Vision 2021;21(9):2836. doi: https://doi.org/10.1167/jov.21.9.2836.

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

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Abstract

Background: During observation of ambiguous and low-visibility stimuli perception becomes unstable and may alternate between different interpretations. Tiny low-level changes can disambiguate such a stimulus and/or increase its visibility and thus stabilize its percept. Methods: We compared event related potentials (ERPs) evoked by ambiguous and low-visibility stimuli with disambiguated and high-visibility stimulus variants across different visual categories (geometry, motion) and complexity levels (up to emotional face expressions). Results: Disambiguated and highly visible stimulus variants cause stable percepts and evoke much larger amplitudes of two positive ERP components than ambiguous stimuli (d > 1). This pattern of ERP results is highly consistent both in space and time across very different categories and complexity levels. Discussion: The generality of our findings points to high-level mechanisms: We postulate that a meta-perceptual/cognitive inference unit evaluates the reliability of perceptual constructs beyond sensory details. Small ERP amplitudes reflect high small amplitudes low perceptual reliability. I will discuss our results in the context of predictive coding theories as ERP correlates of prediction success with remarkably large effect sizes.

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