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The passive CNV: carving out the contribution of task-related processes to expectancy

Overview of attention for article published in Frontiers in Human Neuroscience, January 2013
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Title
The passive CNV: carving out the contribution of task-related processes to expectancy
Published in
Frontiers in Human Neuroscience, January 2013
DOI 10.3389/fnhum.2013.00827
Pubmed ID
Authors

Giovanni Mento

Abstract

In this perspective article, I summarized certain theoretical and methodological issues concerning the investigation of the contribution of cognitive and motor processes to the electrophysiological stimulus-preceding activity. In particular, the question of whether the contingent negative variation (CNV) is a marker reflecting both cognitive expectancy and motor preparation in the S1-S2 paradigms was discussed. New evidence suggests that it is possible to isolate an automatic temporal expectancy-related cognitive mechanism relying on a passive CNV after ruling out the contribution of task-related processes, including motor and decisional processes, to it. This can be achieved by simply manipulating the trial temporal structure according to a probabilistic, oddball distribution. The scientific value of this finding is framed within a historical perspective in the attempt to bridge together the classic literature linking the CNV to stimulus preparation and the more recently published literature linking the CNV to temporal processing.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Italy 1 1%
Canada 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 19%
Researcher 17 19%
Student > Master 11 12%
Student > Bachelor 10 11%
Student > Doctoral Student 6 7%
Other 16 18%
Unknown 14 15%
Readers by discipline Count As %
Psychology 33 36%
Neuroscience 18 20%
Agricultural and Biological Sciences 5 5%
Engineering 4 4%
Business, Management and Accounting 2 2%
Other 8 9%
Unknown 21 23%
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 21 May 2021.
All research outputs
#15,290,667
of 22,739,983 outputs
Outputs from Frontiers in Human Neuroscience
#5,259
of 7,136 outputs
Outputs of similar age
#181,600
of 280,818 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#681
of 862 outputs
Altmetric has tracked 22,739,983 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,136 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 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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