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A Unifying Model of Orientation Crowding in Peripheral Vision

Overview of attention for article published in Current Biology, November 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
twitter
6 X users
googleplus
1 Google+ user

Citations

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63 Dimensions

Readers on

mendeley
118 Mendeley
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Title
A Unifying Model of Orientation Crowding in Peripheral Vision
Published in
Current Biology, November 2015
DOI 10.1016/j.cub.2015.10.052
Pubmed ID
Authors

William J. Harrison, Peter J. Bex

Abstract

Peripheral vision is fundamentally limited not by the visibility of features, but by the spacing between them [1]. When too close together, visual features can become "crowded" and perceptually indistinguishable. Crowding interferes with basic tasks such as letter and face identification and thus informs our understanding of object recognition breakdown in peripheral vision [2]. Multiple proposals have attempted to explain crowding [3], and each is supported by compelling psychophysical and neuroimaging data [4-6] that are incompatible with competing proposals. In general, perceptual failures have variously been attributed to the averaging of nearby visual signals [7-10], confusion between target and distractor elements [11, 12], and a limited resolution of visual spatial attention [13]. Here we introduce a psychophysical paradigm that allows systematic study of crowded perception within the orientation domain, and we present a unifying computational model of crowding phenomena that reconciles conflicting explanations. Our results show that our single measure produces a variety of perceptual errors that are reported across the crowding literature. Critically, a simple model of the responses of populations of orientation-selective visual neurons accurately predicts all perceptual errors. We thus provide a unifying mechanistic explanation for orientation crowding in peripheral vision. Our simple model accounts for several perceptual phenomena produced by crowding of orientation and raises the possibility that multiple classes of object recognition failures in peripheral vision can be accounted for by a single mechanism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
United States 1 <1%
Germany 1 <1%
Unknown 115 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 30 25%
Student > Ph. D. Student 21 18%
Student > Bachelor 14 12%
Researcher 13 11%
Student > Doctoral Student 6 5%
Other 22 19%
Unknown 12 10%
Readers by discipline Count As %
Psychology 52 44%
Neuroscience 26 22%
Agricultural and Biological Sciences 8 7%
Social Sciences 3 3%
Business, Management and Accounting 2 2%
Other 12 10%
Unknown 15 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 February 2024.
All research outputs
#829,904
of 25,374,647 outputs
Outputs from Current Biology
#2,653
of 14,676 outputs
Outputs of similar age
#13,776
of 393,195 outputs
Outputs of similar age from Current Biology
#50
of 172 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 61.9. This one has done well, scoring higher than 81% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,195 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.