October 2020
Volume 20, Issue 11
Open Access
Vision Sciences Society Annual Meeting Abstract  |   October 2020
Gender- and age-contingent face aftereffects and the Hebbian normalization model
Author Affiliations & Notes
  • Seyed Morteza Mousavi
    University of British Columbia
  • Ipek Oruc
    University of British Columbia
  • Michael Landy
    New York University Center for Neural Science, New York University
  • Footnotes
    Acknowledgements  University of British Columbia Peter Wall Institute for Advanced Studies, International Visiting Research Scholar Award (NIH EY08266) to MSL---Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (RGPIN-2019-0555) and Accelerator Grant (RGPAS-2019-00026) to IO
Journal of Vision October 2020, Vol.20, 1443. doi:https://doi.org/10.1167/jov.20.11.1443
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      Seyed Morteza Mousavi, Ipek Oruc, Michael Landy; Gender- and age-contingent face aftereffects and the Hebbian normalization model. Journal of Vision 2020;20(11):1443. https://doi.org/10.1167/jov.20.11.1443.

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

  • Supplements

Classical adaptation phenomena (e.g., tilt after-effect, waterfall illusion) are a response to a biased distribution of stimuli (e.g., more right-tilted adapters) and led to models involving gain adaptation (highly stimulated neurons reduce their gain). But, neurons also adapt to 2nd-order statistics (stimulus feature co-occurrence, “contingent adaptation”, Benucci et al., 2013; Aschner et al., 2018), consistent with the Hebbian normalization model (Westrick et al., 2016) in which strong co-firing of neuron pairs leads to increased mutual inhibition. This model predicts analogous behavioral effects: Co-occurring stimulus elements in an adapter lead to inhibitory effects of one on the other in perception as first tested using pairs of grating stimuli (Yiltiz et al., VSS 2018 and in press). Here, we test whether contingent adaptation, as predicted by the model, applies to adaptation to high-level perceptual features. We adapted observers (N=19) to a series of alternating old-male and young-female faces (or old-female/young-male) followed by an androgynous or a middle-aged test face. Despite the fact that there was no net first-order gender or age adaptation, we found significant age-contingent gender aftereffects (d=0.77, p=.02) biasing perception away from the adapting gender (i.e., repulsive): test faces were perceived as more masculine or feminine depending on the age of the face with which they were paired during adaptation, and analogous gender-contingent age aftereffects (d=0.63 , p=.02). Prior face adaptation work has shown figural aftereffects (e.g., eye-spacing, internal features distortion) contingent on some discrete facial attributes such as race and orientation (Rhodes et al., 2004; Jacquet, et al., 2008). Our results represent the first report of contingent aftereffects on natural face categories (i.e., age and gender) that are plausibly represented by a continuum of neurons coding for a range of values along these dimensions. The Hebbian normalization model provides an account for these contingent adaptation aftereffects in face perception.


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