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Temporal Characteristics of Top-Down Modulations during Working Memory Maintenance: An Event-related Potential Study of the N170 Component

Overview of attention for article published in Journal of Cognitive Neuroscience, November 2007
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Article details
Title
Temporal Characteristics of Top-Down Modulations during Working Memory Maintenance: An Event-related Potential Study of the N170 Component
Published in
Journal of Cognitive Neuroscience, November 2007
DOI 10.1162/jocn.2007.19.11.1836
Pubmed ID
Authors
Abstract

We investigated the top-down influence of working memory (WM) maintenance on feedforward perceptual processing within occipito-temporal face processing structures. During event-related potential (ERP) recordings, subjects performed a delayed-recognition task requiring WM maintenance of faces or houses. The face-sensitive N170 component elicited by delay-spanning task-irrelevant grayscale noise probes was examined. If early feedforward perceptual activity is biased by maintenance requirements, the N170 ERP component elicited by probes should have a greater N170 amplitude response during face relative to house WM trials. Consistent with this prediction, N170 elicited by probes presented at the beginning, middle, and end of the delay interval was greater in amplitude during face relative to house WM. Thus, these results suggest that WM maintenance demands may modulate early feedforward perceptual processing for the entirety of the delay duration. We argue based on these results that temporally early biasing of domain-specific perceptual processing may be a critical mechanism by which WM maintenance is achieved.

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X Demographics

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
Netherlands 2 2%
Japan 1 1%
United Kingdom 1 1%
Canada 1 1%
Australia 1 1%
Unknown 74 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Researcher 12 15%
Student > Master 11 13%
Professor > Associate Professor 8 10%
Professor 5 6%
Other 14 17%
Unknown 13 16%
Readers by discipline
Readers by discipline Count As %
Psychology 39 48%
Neuroscience 12 15%
Agricultural and Biological Sciences 7 9%
Philosophy 2 2%
Medicine and Dentistry 2 2%
Other 4 5%
Unknown 16 20%
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 03 July 2013.
All research outputs
#28,602,152
of 34,361,833 outputs
Outputs from Journal of Cognitive Neuroscience
#2,288
of 2,720 outputs
Outputs of similar age
#118,206
of 125,777 outputs
Outputs of similar age from Journal of Cognitive Neuroscience
#14
of 16 outputs
Altmetric has tracked 34,361,833 research outputs across all sources so far. This one is in the 9th percentile – i.e., 9% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.