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Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning

Overview of attention for article published in Journal of Cognitive Neuroscience, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 news outlet
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10 X users
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1 Google+ user

Citations

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42 Dimensions

Readers on

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102 Mendeley
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Title
Don't Think, Just Feel the Music: Individuals with Strong Pavlovian-to-Instrumental Transfer Effects Rely Less on Model-based Reinforcement Learning
Published in
Journal of Cognitive Neuroscience, July 2016
DOI 10.1162/jocn_a_00945
Pubmed ID
Authors

Miriam Sebold, Daniel J Schad, Stephan Nebe, Maria Garbusow, Elisabeth Jünger, Nils B Kroemer, Norbert Kathmann, Ulrich S Zimmermann, Michael N Smolka, Michael A Rapp, Andreas Heinz, Quentin J M Huys

Abstract

Behavioral choice can be characterized along two axes. One axis distinguishes reflexive, model-free systems that slowly accumulate values through experience and a model-based system that uses knowledge to reason prospectively. The second axis distinguishes Pavlovian valuation of stimuli from instrumental valuation of actions or stimulus-action pairs. This results in four values and many possible interactions between them, with important consequences for accounts of individual variation. We here explored whether individual variation along one axis was related to individual variation along the other. Specifically, we asked whether individual's balance between model-based and model-free learning was related to their tendency to show Pavlovian interferences with instrumental decisions. In two independent samples with a total of 243 participants, Pavlovian-instrumental transfer effects were negatively correlated with the strength of model-based reasoning in a two-step task. This suggests a potential common underlying substrate predisposing individuals to both have strong Pavlovian interference and be less model-based and provides a framework within which to interpret the observation of both effects in addiction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Germany 1 <1%
Unknown 100 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 20%
Researcher 14 14%
Student > Ph. D. Student 14 14%
Student > Bachelor 12 12%
Student > Postgraduate 7 7%
Other 12 12%
Unknown 23 23%
Readers by discipline Count As %
Psychology 28 27%
Neuroscience 21 21%
Computer Science 6 6%
Medicine and Dentistry 4 4%
Agricultural and Biological Sciences 3 3%
Other 9 9%
Unknown 31 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 30 April 2016.
All research outputs
#2,206,790
of 25,312,451 outputs
Outputs from Journal of Cognitive Neuroscience
#307
of 2,330 outputs
Outputs of similar age
#38,560
of 361,174 outputs
Outputs of similar age from Journal of Cognitive Neuroscience
#5
of 33 outputs
Altmetric has tracked 25,312,451 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,330 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 86% 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 361,174 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 89% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.