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The Time Course of Segmentation and Cue-Selectivity in the Human Visual Cortex

Overview of attention for article published in PLOS ONE, March 2012
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Title
The Time Course of Segmentation and Cue-Selectivity in the Human Visual Cortex
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0034205
Pubmed ID
Authors

Lawrence G. Appelbaum, Justin M. Ales, Anthony M. Norcia

Abstract

Texture discontinuities are a fundamental cue by which the visual system segments objects from their background. The neural mechanisms supporting texture-based segmentation are therefore critical to visual perception and cognition. In the present experiment we employ an EEG source-imaging approach in order to study the time course of texture-based segmentation in the human brain. Visual Evoked Potentials were recorded to four types of stimuli in which periodic temporal modulation of a central 3° figure region could either support figure-ground segmentation, or have identical local texture modulations but not produce changes in global image segmentation. The image discontinuities were defined either by orientation or phase differences across image regions. Evoked responses to these four stimuli were analyzed both at the scalp and on the cortical surface in retinotopic and functional regions-of-interest (ROIs) defined separately using fMRI on a subject-by-subject basis. Texture segmentation (tsVEP: segmenting versus non-segmenting) and cue-specific (csVEP: orientation versus phase) responses exhibited distinctive patterns of activity. Alternations between uniform and segmented images produced highly asymmetric responses that were larger after transitions from the uniform to the segmented state. Texture modulations that signaled the appearance of a figure evoked a pattern of increased activity starting at ∼143 ms that was larger in V1 and LOC ROIs, relative to identical modulations that didn't signal figure-ground segmentation. This segmentation-related activity occurred after an initial response phase that did not depend on the global segmentation structure of the image. The two cue types evoked similar tsVEPs up to 230 ms when they differed in the V4 and LOC ROIs. The evolution of the response proceeded largely in the feed-forward direction, with only weak evidence for feedback-related activity.

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The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
United Kingdom 1 2%
Spain 1 2%
Belgium 1 2%
Unknown 46 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 31%
Researcher 10 20%
Professor 5 10%
Professor > Associate Professor 4 8%
Student > Master 3 6%
Other 5 10%
Unknown 8 16%
Readers by discipline Count As %
Psychology 19 37%
Neuroscience 7 14%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 5 10%
Engineering 4 8%
Other 4 8%
Unknown 7 14%
Attention Score in Context

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 27 March 2012.
All research outputs
#18,305,470
of 22,663,969 outputs
Outputs from PLOS ONE
#153,769
of 193,506 outputs
Outputs of similar age
#123,804
of 160,209 outputs
Outputs of similar age from PLOS ONE
#2,851
of 3,700 outputs
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