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The equivalent internal orientation and position noise for contour integration

Overview of attention for article published in Scientific Reports, October 2017
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Title
The equivalent internal orientation and position noise for contour integration
Published in
Scientific Reports, October 2017
DOI 10.1038/s41598-017-13244-z
Pubmed ID
Authors

Alex S. Baldwin, Minnie Fu, Reza Farivar, Robert F. Hess

Abstract

Contour integration is the joining-up of local responses to parts of a contour into a continuous percept. In typical studies observers detect contours formed of discrete wavelets, presented against a background of random wavelets. This measures performance for detecting contours in the limiting external noise that background provides. Our novel task measures contour integration without requiring any background noise. This allowed us to perform noise-masking experiments using orientation and position noise. From these we measure the equivalent internal noise for contour integration. We found an orientation noise of 6° and position noise of 3 arcmin. Orientation noise was 2.6x higher in contour integration compared to an orientation discrimination control task. Comparing against a position discrimination task found position noise in contours to be 2.4x lower. This suggests contour integration involves intermediate processing that enhances the quality of element position representation at the expense of element orientation. Efficiency relative to the ideal observer was lower for the contour tasks (36% in orientation noise, 21% in position noise) compared to the controls (54% and 57%).

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 33%
Researcher 2 22%
Professor 2 22%
Student > Ph. D. Student 1 11%
Unspecified 1 11%
Other 0 0%
Readers by discipline Count As %
Psychology 3 33%
Unspecified 2 22%
Agricultural and Biological Sciences 2 22%
Physics and Astronomy 1 11%
Neuroscience 1 11%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 October 2017.
All research outputs
#9,520,695
of 11,918,812 outputs
Outputs from Scientific Reports
#37,600
of 52,838 outputs
Outputs of similar age
#199,956
of 274,038 outputs
Outputs of similar age from Scientific Reports
#2,472
of 3,578 outputs
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