June 2007
Volume 7, Issue 9
Vision Sciences Society Annual Meeting Abstract  |   June 2007
Attention can relieve crowding
Author Affiliations
  • Jeremy Freeman
    Psychology, Swarthmore College
  • Denis Pelli
    Psychology and Neural Science, New York University
Journal of Vision June 2007, Vol.7, 330. doi:https://doi.org/10.1167/7.9.330
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      Jeremy Freeman, Denis Pelli; Attention can relieve crowding. Journal of Vision 2007;7(9):330. doi: https://doi.org/10.1167/7.9.330.

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

  • Supplements

Crowding occurs when nearby flankers hinder the identification of a target object. Crowding is feature integration over an inappropriately large region, but what determines the size of that region? According to bottom-up proposals the size is that of an anatomically determined isolation field. According to top-down proposals the size is that of the spotlight of attention. Here we investigate the role of attention in crowding using the change blindness paradigm. We measure capacity for widely and narrowly spaced letters during a change detection task, with or without an inter-stimulus cue. Consistent with both bottom-up and top-down accounts, we find that standard crowding manipulations - reducing spacing and adding flankers - impair uncued change detection performance. However, the same crowding manipulations fail to impair cued change detection. The cue relieves crowding. This has been sought but never found before. We suppose that object recognition consists of several steps: detection, segmentation, and integration. Perhaps feature detection is always followed by a coarse, pre-attentive segmentation, which is sometimes followed by a further, finer segmentation (triggered by an inter-stimulus cue), before the final integration of all the features within each segment.

Freeman, J. Pelli, D. (2007). Attention can relieve crowding [Abstract]. Journal of Vision, 7(9):330, 330a, http://journalofvision.org/7/9/330/, doi:10.1167/7.9.330. [CrossRef]
 Author Jeremy Freeman is a student at Swarthmore College, and this project was completed while he was a fellow of the 2006 Summer Undergraduate Research Program at the NYU Center for Neural Science. We thank Chiye Aoki (Director of the SURP program) and the Leadership Alliance for their support. Also supported by National Institutes of Health Grant EY04432 to DP.

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