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The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making

Overview of attention for article published in Frontiers in Neuroscience, August 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
Published in
Frontiers in Neuroscience, August 2017
DOI 10.3389/fnins.2017.00468
Pubmed ID
Authors

Gabriela Tavares, Pietro Perona, Antonio Rangel

Abstract

Perceptual decisions requiring the comparison of spatially distributed stimuli that are fixated sequentially might be influenced by fluctuations in visual attention. We used two psychophysical tasks with human subjects to investigate the extent to which visual attention influences simple perceptual choices, and to test the extent to which the attentional Drift Diffusion Model (aDDM) provides a good computational description of how attention affects the underlying decision processes. We find evidence for sizable attentional choice biases and that the aDDM provides a reasonable quantitative description of the relationship between fluctuations in visual attention, choices and reaction times. We also find that exogenous manipulations of attention induce choice biases consistent with the predictions of the model.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 28%
Student > Master 28 14%
Student > Bachelor 23 12%
Researcher 18 9%
Student > Doctoral Student 10 5%
Other 25 13%
Unknown 38 19%
Readers by discipline Count As %
Psychology 66 33%
Neuroscience 38 19%
Economics, Econometrics and Finance 8 4%
Computer Science 6 3%
Agricultural and Biological Sciences 6 3%
Other 26 13%
Unknown 48 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 November 2019.
All research outputs
#7,390,528
of 25,895,862 outputs
Outputs from Frontiers in Neuroscience
#4,761
of 11,728 outputs
Outputs of similar age
#106,433
of 329,573 outputs
Outputs of similar age from Frontiers in Neuroscience
#56
of 166 outputs
Altmetric has tracked 25,895,862 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 11,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has gotten more attention than average, scoring higher than 58% 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 329,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.