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Multi-Voxel Decoding and the Topography of Maintained Information During Visual Working Memory

Overview of attention for article published in Frontiers in Systems Neuroscience, February 2016
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Title
Multi-Voxel Decoding and the Topography of Maintained Information During Visual Working Memory
Published in
Frontiers in Systems Neuroscience, February 2016
DOI 10.3389/fnsys.2016.00002
Pubmed ID
Authors

Sue-Hyun Lee, Chris I. Baker

Abstract

The ability to maintain representations in the absence of external sensory stimulation, such as in working memory, is critical for guiding human behavior. Human functional brain imaging studies suggest that visual working memory can recruit a network of brain regions from visual to parietal to prefrontal cortex. In this review, we focus on the maintenance of representations during visual working memory and discuss factors determining the topography of those representations. In particular, we review recent studies employing multi-voxel pattern analysis (MVPA) that demonstrate decoding of the maintained content in visual cortex, providing support for a "sensory recruitment" model of visual working memory. However, there is some evidence that maintained content can also be decoded in areas outside of visual cortex, including parietal and frontal cortex. We suggest that the ability to maintain representations during working memory is a general property of cortex, not restricted to specific areas, and argue that it is important to consider the nature of the information that must be maintained. Such information-content is critically determined by the task and the recruitment of specific regions during visual working memory will be both task- and stimulus-dependent. Thus, the common finding of maintained information in visual, but not parietal or prefrontal, cortex may be more of a reflection of the need to maintain specific types of visual information and not of a privileged role of visual cortex in maintenance.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Russia 1 <1%
Unknown 150 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 23%
Researcher 32 21%
Student > Master 17 11%
Student > Bachelor 16 10%
Student > Doctoral Student 9 6%
Other 15 10%
Unknown 29 19%
Readers by discipline Count As %
Psychology 52 34%
Neuroscience 47 31%
Agricultural and Biological Sciences 7 5%
Engineering 5 3%
Medicine and Dentistry 3 2%
Other 4 3%
Unknown 35 23%
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 14 June 2023.
All research outputs
#15,269,138
of 25,930,295 outputs
Outputs from Frontiers in Systems Neuroscience
#762
of 1,408 outputs
Outputs of similar age
#208,220
of 414,943 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#21
of 44 outputs
Altmetric has tracked 25,930,295 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,408 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.