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Stimulus Contrast and Retinogeniculate Signal Processing

Overview of attention for article published in Frontiers in Neural Circuits, February 2016
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Title
Stimulus Contrast and Retinogeniculate Signal Processing
Published in
Frontiers in Neural Circuits, February 2016
DOI 10.3389/fncir.2016.00008
Pubmed ID
Authors

Daniel L. Rathbun, Henry J. Alitto, David K. Warland, W. Martin Usrey

Abstract

Neuronal signals conveying luminance contrast play a key role in nearly all aspects of perception, including depth perception, texture discrimination, and motion perception. Although much is known about the retinal mechanisms responsible for encoding contrast information, relatively little is known about the relationship between stimulus contrast and the processing of neuronal signals between visual structures. Here, we describe simultaneous recordings from monosynaptically connected retinal ganglion cells and lateral geniculate nucleus (LGN) neurons in the cat to determine how stimulus contrast affects the communication of visual signals between the two structures. Our results indicate that: (1) LGN neurons typically reach their half-maximal response at lower contrasts than their individual retinal inputs and (2) LGN neurons exhibit greater contrast-dependent phase advance (CDPA) than their retinal inputs. Further analyses suggests that increased sensitivity relies on spatial convergence of multiple retinal inputs, while increased CDPA is achieved, in part, on temporal summation of arriving signals.

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The data shown below were collected from the profiles of 2 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 36%
Researcher 8 22%
Student > Master 3 8%
Student > Bachelor 2 6%
Student > Doctoral Student 1 3%
Other 3 8%
Unknown 6 17%
Readers by discipline Count As %
Neuroscience 15 42%
Agricultural and Biological Sciences 9 25%
Engineering 2 6%
Medicine and Dentistry 2 6%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 5 14%
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 01 March 2016.
All research outputs
#14,837,567
of 22,849,304 outputs
Outputs from Frontiers in Neural Circuits
#700
of 1,216 outputs
Outputs of similar age
#166,829
of 297,895 outputs
Outputs of similar age from Frontiers in Neural Circuits
#20
of 33 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,216 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 36th percentile – i.e., 36% 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 297,895 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.