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State-Dependent Visual Processing

Overview of attention for article published in Frontiers in Psychology, January 2011
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Title
State-Dependent Visual Processing
Published in
Frontiers in Psychology, January 2011
DOI 10.3389/fpsyg.2011.00370
Pubmed ID
Authors

Juliane Britz, Christoph M. Michel

Abstract

The temporal dynamics and anatomical correlates underlying human visual cognition are traditionally assessed as a function of stimulus properties and task demands. Any non-stimulus related activity is commonly dismissed as noise and eliminated to extract an evoked signal that is only a small fraction of the magnitude of the measured signal. We review studies that challenge this view by showing that non-stimulus related activity is not mere noise but that it has a well-structured organization which can largely determine the processing of upcoming stimuli. We review recent evidence from human electrophysiology that shows how different aspects of pre-stimulus activity such as pre-stimulus EEG frequency power and phase and pre-stimulus EEG microstates can determine qualitative and quantitative properties of both lower and higher-level visual processing. These studies show that low-level sensory processes depend on the momentary excitability of sensory cortices whereas perceptual processes leading to stimulus awareness depend on momentary pre-stimulus activity in higher-level non-visual brain areas. Also speed and accuracy of stimulus identification have likewise been shown to be modulated by pre-stimulus brain states.

X Demographics

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 3%
Switzerland 1 1%
Chile 1 1%
France 1 1%
Italy 1 1%
Israel 1 1%
United Kingdom 1 1%
Unknown 87 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 25%
Researcher 16 17%
Student > Master 15 16%
Professor 7 7%
Professor > Associate Professor 7 7%
Other 18 19%
Unknown 9 9%
Readers by discipline Count As %
Psychology 27 28%
Neuroscience 24 25%
Agricultural and Biological Sciences 9 9%
Medicine and Dentistry 8 8%
Engineering 7 7%
Other 8 8%
Unknown 13 14%
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 17 December 2011.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Psychology
#23,771
of 29,379 outputs
Outputs of similar age
#169,848
of 180,328 outputs
Outputs of similar age from Frontiers in Psychology
#217
of 239 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 239 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.