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Role of Prefrontal Persistent Activity in Working Memory

Overview of attention for article published in Frontiers in Systems Neuroscience, January 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 news outlet
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7 X users

Citations

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178 Dimensions

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322 Mendeley
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1 CiteULike
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Title
Role of Prefrontal Persistent Activity in Working Memory
Published in
Frontiers in Systems Neuroscience, January 2016
DOI 10.3389/fnsys.2015.00181
Pubmed ID
Authors

Mitchell R. Riley, Christos Constantinidis

Abstract

The prefrontal cortex is activated during working memory, as evidenced by fMRI results in human studies and neurophysiological recordings in animal models. Persistent activity during the delay period of working memory tasks, after the offset of stimuli that subjects are required to remember, has traditionally been thought of as the neural correlate of working memory. In the last few years several findings have cast doubt on the role of this activity. By some accounts, activity in other brain areas, such as the primary visual and posterior parietal cortex, is a better predictor of information maintained in visual working memory and working memory performance; dynamic patterns of activity may convey information without requiring persistent activity at all; and prefrontal neurons may be ill-suited to represent non-spatial information about the features and identity of remembered stimuli. Alternative interpretations about the role of the prefrontal cortex have thus been suggested, such as that it provides a top-down control of information represented in other brain areas, rather than maintaining a working memory trace itself. Here we review evidence for and against the role of prefrontal persistent activity, with a focus on visual neurophysiology. We show that persistent activity predicts behavioral parameters precisely in working memory tasks. We illustrate that prefrontal cortex represents features of stimuli other than their spatial location, and that this information is largely absent from early cortical areas during working memory. We examine memory models not dependent on persistent activity, and conclude that each of those models could mediate only a limited range of memory-dependent behaviors. We review activity decoded from brain areas other than the prefrontal cortex during working memory and demonstrate that these areas alone cannot mediate working memory maintenance, particularly in the presence of distractors. We finally discuss the discrepancy between BOLD activation and spiking activity findings, and point out that fMRI methods do not currently have the spatial resolution necessary to decode information within the prefrontal cortex, which is likely organized at the micrometer scale. Therefore, we make the case that prefrontal persistent activity is both necessary and sufficient for the maintenance of information in working memory.

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X Demographics

The data shown below were collected from the profiles of 7 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 322 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Colombia 1 <1%
Netherlands 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
Sweden 1 <1%
Unknown 313 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 19%
Researcher 55 17%
Student > Master 47 15%
Student > Bachelor 33 10%
Student > Doctoral Student 18 6%
Other 48 15%
Unknown 59 18%
Readers by discipline Count As %
Neuroscience 95 30%
Psychology 60 19%
Agricultural and Biological Sciences 32 10%
Medicine and Dentistry 14 4%
Biochemistry, Genetics and Molecular Biology 8 2%
Other 35 11%
Unknown 78 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 31 December 2023.
All research outputs
#2,707,951
of 25,080,471 outputs
Outputs from Frontiers in Systems Neuroscience
#228
of 1,405 outputs
Outputs of similar age
#45,182
of 405,230 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#9
of 42 outputs
Altmetric has tracked 25,080,471 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,405 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 83% of its peers.
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 405,230 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.