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Noise Improves Visual Motion Discrimination via a Stochastic Resonance-Like Phenomenon

Overview of attention for article published in Frontiers in Human Neuroscience, November 2016
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Title
Noise Improves Visual Motion Discrimination via a Stochastic Resonance-Like Phenomenon
Published in
Frontiers in Human Neuroscience, November 2016
DOI 10.3389/fnhum.2016.00572
Pubmed ID
Authors

Mario Treviño, Braniff De la Torre-Valdovinos, Elias Manjarrez

Abstract

The stochastic resonance (SR) is a phenomenon in which adding a moderate amount of noise can improve the signal-to-noise ratio and performance of non-linear systems. SR occurs in all sensory modalities including the visual system in which noise can enhance contrast detection sensitivity and the perception of ambiguous figures embedded in static scenes. Here, we explored how adding background white pixel-noise to a random dot motion (RDM) stimulus produced changes in visual motion discrimination in healthy human adults. We found that, although the average reaction times (RTs) remained constant, an intermediate level of noise improved the subjects' ability to discriminate motion direction in the RDM task. The psychophysical responses followed an inverted U-like function of the input noise, whereas the incorrect responses with short RTs did not exhibit such modulation by external noise. Moreover, by applying stimulus and noisy signals to different eyes, we found that the SR phenomenon occurred presumably in the primary visual cortex, where these two signals first converge. Our results suggest that a SR-like phenomenon mediates the improvement of visual motion perception in the RDM task.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Bachelor 8 14%
Student > Ph. D. Student 8 14%
Student > Master 6 10%
Professor 5 9%
Other 11 19%
Unknown 11 19%
Readers by discipline Count As %
Neuroscience 15 26%
Psychology 12 21%
Medicine and Dentistry 5 9%
Engineering 4 7%
Sports and Recreations 2 3%
Other 4 7%
Unknown 16 28%
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 December 2016.
All research outputs
#14,431,072
of 23,577,654 outputs
Outputs from Frontiers in Human Neuroscience
#4,376
of 7,319 outputs
Outputs of similar age
#221,915
of 418,746 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#105
of 166 outputs
Altmetric has tracked 23,577,654 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 7,319 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 37th percentile – i.e., 37% 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 418,746 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
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 is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.