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Improving 2D and 3D Skin In Vitro Models Using Macromolecular Crowding
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Published on: August 22, 2016

Substitution and pooling in crowding.

Jeremy Freeman1, Ramakrishna Chakravarthi, Denis G Pelli

  • 1Department of Psychology and Center for Neural Science, New York University, 6 Washington Place, New York, NY 10003, USA. freeman@cns.nyu.edu

Attention, Perception & Psychophysics
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PubMed
Summary
This summary is machine-generated.

Crowding in peripheral vision hinders object recognition, especially with similar items. Most errors result from pooling information from multiple items, not just simple substitution.

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Area of Science:

  • Visual perception
  • Cognitive psychology

Background:

  • Crowding is a phenomenon that impairs object recognition in peripheral vision.
  • The severity of crowding increases with object similarity.
  • Flanker reports during crowding have been interpreted as evidence of target substitution.

Purpose of the Study:

  • To investigate the mechanisms underlying object recognition breakdown in crowding.
  • To differentiate between substitution and pooling models of crowding.
  • To determine the contribution of pooling to crowding errors.

Main Methods:

  • Presenting observers with a target letter flanked by one similar and one dissimilar letter.
  • Analyzing observer reports of target and flanker identities.
  • Employing mixture modeling to assess the contributions of different perceptual models.

Main Results:

  • Similar flankers were reported significantly more often than dissimilar flankers, challenging the simple substitution model.
  • Mixture modeling indicated that simple substitution accounts for at most half of the crowding errors.
  • Pooling, which involves combining information from multiple items, underlies at least half of the reported crowding instances.

Conclusions:

  • Simple substitution alone cannot explain the majority of flanker reports in crowding.
  • Pooling of information from target and flanker items is a dominant mechanism in crowding.
  • Understanding crowding requires considering both pooling and non-pooling (substitution) processes.