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What visual illusions tell us about underlying neural mechanisms and observer strategies for tackling the inverse problem of achromatic perception

Overview of attention for article published in Frontiers in Human Neuroscience, April 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
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Title
What visual illusions tell us about underlying neural mechanisms and observer strategies for tackling the inverse problem of achromatic perception
Published in
Frontiers in Human Neuroscience, April 2015
DOI 10.3389/fnhum.2015.00205
Pubmed ID
Authors

Barbara Blakeslee, Mark E. McCourt

Abstract

Research in lightness perception centers on understanding the prior assumptions and processing strategies the visual system uses to parse the retinal intensity distribution (the proximal stimulus) into the surface reflectance and illumination components of the scene (the distal stimulus-ground truth). It is agreed that the visual system must compare different regions of the visual image to solve this inverse problem; however, the nature of the comparisons and the mechanisms underlying them are topics of intense debate. Perceptual illusions are of value because they reveal important information about these visual processing mechanisms. We propose a framework for lightness research that resolves confusions and paradoxes in the literature, and provides insight into the mechanisms the visual system employs to tackle the inverse problem. The main idea is that much of the debate and confusion in the literature stems from the fact that lightness, defined as apparent reflectance, is underspecified and refers to three different types of judgments that are not comparable. Under stimulus conditions containing a visible illumination component, such as a shadow boundary, observers can distinguish and match three independent dimensions of achromatic experience: apparent intensity (brightness), apparent local intensity ratio (brightness-contrast), and apparent reflectance (lightness). In the absence of a visible illumination boundary, however, achromatic vision reduces to two dimensions and, depending on stimulus conditions and observer instructions, judgments of lightness are identical to judgments of brightness or brightness-contrast. Furthermore, because lightness judgments are based on different information under different conditions, they can differ greatly in their degree of difficulty and in their accuracy. This may, in part, explain the large variability in lightness constancy across studies.

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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 8%
Netherlands 1 4%
United States 1 4%
Germany 1 4%
Unknown 20 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 24%
Student > Bachelor 4 16%
Professor > Associate Professor 3 12%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 5 20%
Unknown 4 16%
Readers by discipline Count As %
Psychology 8 32%
Neuroscience 3 12%
Computer Science 3 12%
Agricultural and Biological Sciences 1 4%
Philosophy 1 4%
Other 1 4%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 September 2015.
All research outputs
#12,927,945
of 22,811,321 outputs
Outputs from Frontiers in Human Neuroscience
#3,673
of 7,148 outputs
Outputs of similar age
#120,390
of 265,309 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#100
of 182 outputs
Altmetric has tracked 22,811,321 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 47th percentile – i.e., 47% 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 265,309 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 53% of its contemporaries.
We're also able to compare this research output to 182 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.