↓ Skip to main content

Understanding Attentional Modulation of Binocular Rivalry: A Framework Based on Biased Competition

Overview of attention for article published in Frontiers in Human Neuroscience, January 2011
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
145 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Understanding Attentional Modulation of Binocular Rivalry: A Framework Based on Biased Competition
Published in
Frontiers in Human Neuroscience, January 2011
DOI 10.3389/fnhum.2011.00155
Pubmed ID
Authors

Kevin Conrad Dieter, Duje Tadin

Abstract

Starting from early scientific explorations of binocular rivalry, researchers have wondered about the degree to which an observer can exert voluntary attentional control over rivalry dynamics. The answer to this question would not only reveal the extent to which we may determine our own conscious visual experience, but also advance our understanding of the neural mechanisms underlying binocular rivalry. Classic studies, intriguingly, reached contradictory conclusions, ranging from an absence of attentional control, as advocated by Breese, to nearly complete control of rivalry dynamics, as reported by Helmholtz. Recent investigations have revisited this question, but the results have continued to echo the conflicting findings of earlier studies, seemingly precluding a comprehensive understanding of attentional effects on rivalry. Here, we review both classic and modern studies, and propose a unifying framework derived from the biased competition theory of attention. The key assumption of this theory is that the nature of stimulus conflict determines the limits of attentional modulation. For example, a condition in which unresolved stimulus conflict transpires through many levels of visual processing should be very susceptible to attentional control. When applied to binocular rivalry, this framework predicts strong attentional modulations under conditions of unresolved stimulus conflict (e.g., initial selection) and conditions where conflict is resolved at higher levels of visual processing (e.g., stimulus rivalry). Additionally, the efficacy of attentional control over rivalry can be increased by utilization of demanding, behaviorally relevant tasks, and likely through perceptual training paradigms. We show that this framework can help facilitate the understanding and synthesis of a diverse set of results on attentional control over rivalry, and we propose several directions for future research on this interesting topic.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Italy 2 1%
Australia 1 <1%
Portugal 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
China 1 <1%
Unknown 134 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 20%
Student > Ph. D. Student 27 19%
Student > Master 21 14%
Student > Bachelor 15 10%
Professor 10 7%
Other 27 19%
Unknown 16 11%
Readers by discipline Count As %
Psychology 54 37%
Neuroscience 25 17%
Agricultural and Biological Sciences 14 10%
Engineering 7 5%
Medicine and Dentistry 7 5%
Other 13 9%
Unknown 25 17%
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 03 December 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Human Neuroscience
#6,513
of 7,115 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#109
of 118 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,115 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 180,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.