August 2023
Volume 23, Issue 9
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2023
Preparatory attention to visual features primarily relies on non-sensory representation
Author Affiliations
  • Taosheng Liu
    Michigan State University
  • Yilin Chen
    Zhejiang University
  • Mengyuan Gong
    Zhejiang University
Journal of Vision August 2023, Vol.23, 5587. doi:https://doi.org/10.1167/jov.23.9.5587
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      Taosheng Liu, Yilin Chen, Mengyuan Gong; Preparatory attention to visual features primarily relies on non-sensory representation. Journal of Vision 2023;23(9):5587. https://doi.org/10.1167/jov.23.9.5587.

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

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Abstract

Prior knowledge of behaviorally relevant information promotes preparatory attention before the appearance of stimuli. A key question is how our brain represents the attended information during preparation. A sensory template hypothesis assumes that preparatory signals evoke neural activity patterns that resembled the perception of the attended stimuli, whereas a non-sensory, abstract template hypothesis assumes that preparatory signals reflect the abstraction of attended stimuli. To test these hypotheses, we used fMRI and multivariate analysis to characterize neural activity patterns when human participants were prepared to attend a feature and then select it from a compound stimulus. In an fMRI experiment using basic visual feature (motion direction), we observed reliable decoding of the to-be-attended feature from the preparatory activity in both visual and frontoparietal areas. However, while the neural patterns constructed by a single feature from a baseline task generalized to the activity patterns during stimulus selection, they could not generalize to the activity patterns during preparation. A control experiment and control analyses ruled out alternative explanations of these results based on verbal recoding and spatial attention. Our findings thus suggest that neural signals during attentional preparation are predominantly non-sensory in nature that may reflect an abstraction of the attended feature. Such a representation could provide efficient and stable guidance of attention.

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