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Timing in cognition and EEG brain dynamics: discreteness versus continuity

Overview of attention for article published in Cognitive Processing, July 2006
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165 Mendeley
Title
Timing in cognition and EEG brain dynamics: discreteness versus continuity
Published in
Cognitive Processing, July 2006
DOI 10.1007/s10339-006-0035-0
Pubmed ID
Authors

Andrew A. Fingelkurts, Alexander A. Fingelkurts

Abstract

This article provides an overview of recent developments in solving the timing problem (discreteness vs. continuity) in cognitive neuroscience. Both theoretical and empirical studies have been considered, with an emphasis on the framework of operational architectonics (OA) of brain functioning (Fingelkurts and Fingelkurts in Brain Mind 2:291-29, 2001; Neurosci Biobehav Rev 28:827-836, 2005). This framework explores the temporal structure of information flow and interarea interactions within the network of functional neuronal populations by examining topographic sharp transition processes in the scalp EEG, on the millisecond scale. We conclude, based on the OA framework, that brain functioning is best conceptualized in terms of continuity-discreteness unity which is also the characteristic property of cognition. At the end we emphasize where one might productively proceed for the future research.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
France 3 2%
Brazil 2 1%
United Kingdom 2 1%
Australia 1 <1%
Portugal 1 <1%
Canada 1 <1%
Malaysia 1 <1%
Greece 1 <1%
Other 1 <1%
Unknown 146 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 24%
Student > Ph. D. Student 32 19%
Student > Master 21 13%
Professor 13 8%
Professor > Associate Professor 12 7%
Other 33 20%
Unknown 15 9%
Readers by discipline Count As %
Psychology 46 28%
Neuroscience 23 14%
Agricultural and Biological Sciences 17 10%
Engineering 14 8%
Computer Science 13 8%
Other 29 18%
Unknown 23 14%
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 15 January 2016.
All research outputs
#7,451,942
of 22,782,096 outputs
Outputs from Cognitive Processing
#105
of 338 outputs
Outputs of similar age
#23,014
of 65,934 outputs
Outputs of similar age from Cognitive Processing
#3
of 5 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 338 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 62% 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 65,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.