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Modeling the Effects of Perceptual Load: Saliency, Competitive Interactions, and Top-Down Biases

Overview of attention for article published in Frontiers in Psychology, January 2016
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Title
Modeling the Effects of Perceptual Load: Saliency, Competitive Interactions, and Top-Down Biases
Published in
Frontiers in Psychology, January 2016
DOI 10.3389/fpsyg.2016.00001
Pubmed ID
Authors

Kleanthis Neokleous, Andria Shimi, Marios N. Avraamides

Abstract

A computational model of visual selective attention has been implemented to account for experimental findings on the Perceptual Load Theory (PLT) of attention. The model was designed based on existing neurophysiological findings on attentional processes with the objective to offer an explicit and biologically plausible formulation of PLT. Simulation results verified that the proposed model is capable of capturing the basic pattern of results that support the PLT as well as findings that are considered contradictory to the theory. Importantly, the model is able to reproduce the behavioral results from a dilution experiment, providing thus a way to reconcile PLT with the competing Dilution account. Overall, the model presents a novel account for explaining PLT effects on the basis of the low-level competitive interactions among neurons that represent visual input and the top-down signals that modulate neural activity. The implications of the model concerning the debate on the locus of selective attention as well as the origins of distractor interference in visual displays of varying load are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Netherlands 1 2%
Unknown 50 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 23%
Student > Ph. D. Student 10 19%
Researcher 5 9%
Student > Doctoral Student 3 6%
Professor > Associate Professor 3 6%
Other 11 21%
Unknown 9 17%
Readers by discipline Count As %
Psychology 24 45%
Neuroscience 5 9%
Computer Science 4 8%
Unspecified 2 4%
Business, Management and Accounting 1 2%
Other 4 8%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 July 2016.
All research outputs
#14,183,588
of 22,842,950 outputs
Outputs from Frontiers in Psychology
#14,904
of 29,847 outputs
Outputs of similar age
#206,453
of 396,750 outputs
Outputs of similar age from Frontiers in Psychology
#302
of 477 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,847 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 49th percentile – i.e., 49% 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 396,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.