July 2013
Volume 13, Issue 9
Vision Sciences Society Annual Meeting Abstract  |   July 2013
Neural correlates of affective judgments with visual stimuli
Author Affiliations
  • Kleovoulos Tsourides
    Massachusetts Institute of Technology
  • Shahriar Shariat
    Rutgers University
  • Evan Ehrenberg
    Massachusetts Institute of Technology
  • Vladimir Pavlovic
    Rutgers University
  • Christopher Simons
  • Pawan Sinha
    Massachusetts Institute of Technology
Journal of Vision July 2013, Vol.13, 1099. doi:https://doi.org/10.1167/13.9.1099
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      Kleovoulos Tsourides, Shahriar Shariat, Evan Ehrenberg, Vladimir Pavlovic, Christopher Simons, Pawan Sinha; Neural correlates of affective judgments with visual stimuli. Journal of Vision 2013;13(9):1099. https://doi.org/10.1167/13.9.1099.

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

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Our perception of many visual stimuli is accompanied by implicit or explicit assessments of how 'likable' they are. An image of a bowl of cherries, for instance, is attractive while one of moldy bread is not. Here we report results from our electrophysiological studies that were designed to identify the neural correlates of these judgments. Our stimuli depicted food or non-food items with sub-classes of appealing or unappealing exemplars. We sought to determine whether these four classes of stimuli could be distinguished based on the patterns of brain activity they elicited, the consistency of responses across subjects, as well as the time-course of emergence of these responses. Subjects passively viewed 200 visual stimuli (50 from each class) while their brain activity was recorded using magneto-encephalography (MEG). We found compelling differences in brain activity patterns corresponding to the four stimulus classes, with the first distinction emerging as early as 85 ms post stimulus onset. The identification of these neural correlates furthers our understanding of the substrates of affective judgments and has applied implications in the domains of design and evaluation.

Meeting abstract presented at VSS 2013


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