September 2019
Volume 19, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   September 2019
Spatial memory biases reflect encoding precision and not categorical perception
Author Affiliations & Notes
  • Thomas A Langlois
    Princeton University
  • Nori Jacoby
    Max Planck Institute for Empirical Aesthetics
  • Jordan W Suchow
    University of California at Berkeley
  • Thomas L Griffiths
    Princeton University
Journal of Vision September 2019, Vol.19, 78b. doi:https://doi.org/10.1167/19.10.78b
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      Thomas A Langlois, Nori Jacoby, Jordan W Suchow, Thomas L Griffiths; Spatial memory biases reflect encoding precision and not categorical perception. Journal of Vision 2019;19(10):78b. doi: https://doi.org/10.1167/19.10.78b.

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

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Abstract

The visual memory system encodes information selectively due to limited resources, resulting in systematic distortions and biases. Decades of previous work explains these biases in terms of categorical effects, whereby spatial memory is pulled towards perceptual attractors. Instead, we show that these biases can be accounted for by a rational process that retrieves information from representations with variable precision. Using a novel paradigm based on transmission chains, we explore these representations with an unprecedented degree of resolution. We show that internal memory representations are biased towards “semantic corners,” located near the boundaries between semantically meaningful regions within images. We show that these focal points are both diagnostic of image identity and associated with increased discrimination acuity. Our approach allows us to elucidate the nature of internal memory representations, providing a lens for understanding visual memory systems by revealing the latent internal geometry of their perceptual representations.

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