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How Predictable are “Spontaneous Decisions” and “Hidden Intentions”? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of fMRI BOLD Signals

Overview of attention for article published in Frontiers in Psychology, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
69 Mendeley
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3 CiteULike
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Title
How Predictable are “Spontaneous Decisions” and “Hidden Intentions”? Comparing Classification Results Based on Previous Responses with Multivariate Pattern Analysis of fMRI BOLD Signals
Published in
Frontiers in Psychology, January 2012
DOI 10.3389/fpsyg.2012.00056
Pubmed ID
Authors

Martin Lages, Katarzyna Jaworska

Abstract

In two replication studies we examined response bias and dependencies in voluntary decisions. We trained a linear classifier to predict "spontaneous decisions" and in the second study "hidden intentions" from responses in preceding trials and achieved comparable prediction accuracies as reported for multivariate pattern classification based on voxel activities in frontopolar cortex. We discuss implications of our findings and suggest ways to improve classification analyses of fMRI BOLD signals that may help to reduce effects of response dependencies between trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
Germany 1 1%
France 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Unknown 62 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Student > Bachelor 14 20%
Researcher 14 20%
Student > Master 5 7%
Professor 4 6%
Other 7 10%
Unknown 5 7%
Readers by discipline Count As %
Psychology 35 51%
Neuroscience 9 13%
Engineering 4 6%
Computer Science 3 4%
Agricultural and Biological Sciences 3 4%
Other 7 10%
Unknown 8 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 September 2016.
All research outputs
#6,275,947
of 23,921,147 outputs
Outputs from Frontiers in Psychology
#8,912
of 32,090 outputs
Outputs of similar age
#54,514
of 250,202 outputs
Outputs of similar age from Frontiers in Psychology
#151
of 482 outputs
Altmetric has tracked 23,921,147 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 32,090 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 72% 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 250,202 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 482 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.