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Distinct spatial scale sensitivities for early categorization of faces and places: neuromagnetic and behavioral findings

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
Distinct spatial scale sensitivities for early categorization of faces and places: neuromagnetic and behavioral findings
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00091
Pubmed ID
Authors

Bhuvanesh Awasthi, Paul F. Sowman, Jason Friedman, Mark A. Williams

Abstract

Research exploring the role of spatial frequencies in rapid stimulus detection and categorization report flexible reliance on specific spatial frequency (SF) bands. Here, through a set of behavioral and magnetoencephalography (MEG) experiments, we investigated the role of low spatial frequency (LSF) (<8 cycles/face) and high spatial frequency (HSF) (>25 cycles/face) information during the categorization of faces and places. Reaction time measures revealed significantly faster categorization of faces driven by LSF information, while rapid categorization of places was facilitated by HSF information. The MEG study showed significantly earlier latency of the M170 component for LSF faces compared to HSF faces. Moreover, the M170 amplitude was larger for LSF faces than for LSF places, whereas the reverse pattern was evident for HSF faces and places. These results suggest that SF modulates the processing of category specific information for faces and places.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
France 1 2%
Australia 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 23%
Student > Ph. D. Student 11 23%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Professor 3 6%
Other 9 19%
Unknown 7 15%
Readers by discipline Count As %
Psychology 27 57%
Engineering 3 6%
Neuroscience 3 6%
Social Sciences 2 4%
Agricultural and Biological Sciences 2 4%
Other 2 4%
Unknown 8 17%
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 23 March 2013.
All research outputs
#18,332,122
of 22,701,287 outputs
Outputs from Frontiers in Human Neuroscience
#6,051
of 7,125 outputs
Outputs of similar age
#217,991
of 280,698 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#765
of 862 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,125 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 8th percentile – i.e., 8% 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 280,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 862 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.