↓ Skip to main content

A Mouse Model of Visual Perceptual Learning Reveals Alterations in Neuronal Coding and Dendritic Spine Density in the Visual Cortex

Overview of attention for article published in Frontiers in Behavioral Neuroscience, March 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
103 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Mouse Model of Visual Perceptual Learning Reveals Alterations in Neuronal Coding and Dendritic Spine Density in the Visual Cortex
Published in
Frontiers in Behavioral Neuroscience, March 2016
DOI 10.3389/fnbeh.2016.00042
Pubmed ID
Authors

Yan Wang, Wei Wu, Xian Zhang, Xu Hu, Yue Li, Shihao Lou, Xiao Ma, Xu An, Hui Liu, Jing Peng, Danyi Ma, Yifeng Zhou, Yupeng Yang

Abstract

Visual perceptual learning (VPL) can improve spatial vision in normally sighted and visually impaired individuals. Although previous studies of humans and large animals have explored the neural basis of VPL, elucidation of the underlying cellular and molecular mechanisms remains a challenge. Owing to the advantages of molecular genetic and optogenetic manipulations, the mouse is a promising model for providing a mechanistic understanding of VPL. Here, we thoroughly evaluated the effects and properties of VPL on spatial vision in C57BL/6J mice using a two-alternative, forced-choice visual water task. Briefly, the mice underwent prolonged training at near the individual threshold of contrast or spatial frequency (SF) for pattern discrimination or visual detection for 35 consecutive days. Following training, the contrast-threshold trained mice showed an 87% improvement in contrast sensitivity (CS) and a 55% gain in visual acuity (VA). Similarly, the SF-threshold trained mice exhibited comparable and long-lasting improvements in VA and significant gains in CS over a wide range of SFs. Furthermore, learning largely transferred across eyes and stimulus orientations. Interestingly, learning could transfer from a pattern discrimination task to a visual detection task, but not vice versa. We validated that this VPL fully restored VA in adult amblyopic mice and old mice. Taken together, these data indicate that mice, as a species, exhibit reliable VPL. Intrinsic signal optical imaging revealed that mice with perceptual training had higher cut-off SFs in primary visual cortex (V1) than those without perceptual training. Moreover, perceptual training induced an increase in the dendritic spine density in layer 2/3 pyramidal neurons of V1. These results indicated functional and structural alterations in V1 during VPL. Overall, our VPL mouse model will provide a platform for investigating the neurobiological basis of VPL.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
United States 3 3%
China 1 <1%
Switzerland 1 <1%
Unknown 98 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 26%
Researcher 13 13%
Student > Master 12 12%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 16 16%
Unknown 20 19%
Readers by discipline Count As %
Neuroscience 36 35%
Agricultural and Biological Sciences 21 20%
Psychology 13 13%
Biochemistry, Genetics and Molecular Biology 3 3%
Medicine and Dentistry 3 3%
Other 7 7%
Unknown 20 19%
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 10 March 2016.
All research outputs
#17,791,786
of 22,854,458 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,416
of 3,178 outputs
Outputs of similar age
#204,518
of 300,113 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#54
of 75 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 18th percentile – i.e., 18% 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 300,113 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.