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The attention schema theory: a mechanistic account of subjective awareness

Overview of attention for article published in Frontiers in Psychology, April 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
76 X users
patent
2 patents
facebook
2 Facebook pages
wikipedia
6 Wikipedia pages
reddit
2 Redditors
video
1 YouTube creator

Citations

dimensions_citation
134 Dimensions

Readers on

mendeley
337 Mendeley
citeulike
2 CiteULike
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Title
The attention schema theory: a mechanistic account of subjective awareness
Published in
Frontiers in Psychology, April 2015
DOI 10.3389/fpsyg.2015.00500
Pubmed ID
Authors

Michael S. A. Graziano, Taylor W. Webb

Abstract

We recently proposed the attention schema theory, a novel way to explain the brain basis of subjective awareness in a mechanistic and scientifically testable manner. The theory begins with attention, the process by which signals compete for the brain's limited computing resources. This internal signal competition is partly under a bottom-up influence and partly under top-down control. We propose that the top-down control of attention is improved when the brain has access to a simplified model of attention itself. The brain therefore constructs a schematic model of the process of attention, the 'attention schema,' in much the same way that it constructs a schematic model of the body, the 'body schema.' The content of this internal model leads a brain to conclude that it has a subjective experience. One advantage of this theory is that it explains how awareness and attention can sometimes become dissociated; the brain's internal models are never perfect, and sometimes a model becomes dissociated from the object being modeled. A second advantage of this theory is that it explains how we can be aware of both internal and external events. The brain can apply attention to many types of information including external sensory information and internal information about emotions and cognitive states. If awareness is a model of attention, then this model should pertain to the same domains of information to which attention pertains. A third advantage of this theory is that it provides testable predictions. If awareness is the internal model of attention, used to help control attention, then without awareness, attention should still be possible but should suffer deficits in control. In this article, we review the existing literature on the relationship between attention and awareness, and suggest that at least some of the predictions of the theory are borne out by the evidence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 76 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 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Switzerland 1 <1%
France 1 <1%
Germany 1 <1%
Belarus 1 <1%
Canada 1 <1%
Japan 1 <1%
Poland 1 <1%
Unknown 327 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 18%
Researcher 50 15%
Student > Master 42 12%
Student > Bachelor 37 11%
Student > Doctoral Student 19 6%
Other 64 19%
Unknown 66 20%
Readers by discipline Count As %
Psychology 83 25%
Neuroscience 46 14%
Computer Science 27 8%
Medicine and Dentistry 19 6%
Agricultural and Biological Sciences 13 4%
Other 65 19%
Unknown 84 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 82. 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 02 April 2024.
All research outputs
#532,383
of 25,918,104 outputs
Outputs from Frontiers in Psychology
#1,107
of 34,794 outputs
Outputs of similar age
#6,032
of 282,785 outputs
Outputs of similar age from Frontiers in Psychology
#16
of 481 outputs
Altmetric has tracked 25,918,104 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,794 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 96% 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 282,785 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 97% of its contemporaries.
We're also able to compare this research output to 481 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.