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Spatiotemporal specificity of contrast adaptation in mouse primary visual cortex

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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Title
Spatiotemporal specificity of contrast adaptation in mouse primary visual cortex
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2013.00154
Pubmed ID
Authors

Emily E. LeDue, Jillian L. King, Kurt R. Stover, Nathan A. Crowder

Abstract

Prolonged viewing of high contrast gratings alters perceived stimulus contrast, and produces characteristic changes in the contrast response functions of neurons in the primary visual cortex (V1). This is referred to as contrast adaptation. Although contrast adaptation has been well-studied, its underlying neural mechanisms are not well-understood. Therefore, we investigated contrast adaptation in mouse V1 with the goal of establishing a quantitative description of this phenomenon in a genetically manipulable animal model. One interesting aspect of contrast adaptation that has been observed both perceptually and in single unit studies is its specificity for the spatial and temporal characteristics of the stimulus. Therefore, in the present work we determined if the magnitude of contrast adaptation in mouse V1 neurons was dependent on the spatial frequency and temporal frequency of the adapting grating. We used protocols that were readily comparable with previous studies in cats and primates, and also a novel contrast ramp stimulus that characterized the spatial and temporal specificity of contrast adaptation simultaneously. Similar to previous work in higher mammals, we found that contrast adaptation was strongest when the spatial frequency and temporal frequency of the adapting grating matched the test stimulus. This suggests similar mechanisms underlying contrast adaptation across animal models and indicates that the rapidly advancing genetic tools available in mice could be used to provide insights into this phenomenon.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Canada 2 4%
France 1 2%
China 1 2%
Unknown 50 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 33%
Researcher 9 16%
Student > Master 6 11%
Student > Bachelor 4 7%
Student > Doctoral Student 4 7%
Other 10 18%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 35%
Neuroscience 15 26%
Engineering 7 12%
Psychology 5 9%
Medicine and Dentistry 4 7%
Other 3 5%
Unknown 3 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 October 2013.
All research outputs
#15,280,625
of 22,723,682 outputs
Outputs from Frontiers in Neural Circuits
#775
of 1,209 outputs
Outputs of similar age
#181,557
of 280,763 outputs
Outputs of similar age from Frontiers in Neural Circuits
#84
of 173 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,209 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 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.