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The effect of temporal information among events on Bayesian causal inference in rats

Overview of attention for article published in Frontiers in Psychology, October 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

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Title
The effect of temporal information among events on Bayesian causal inference in rats
Published in
Frontiers in Psychology, October 2014
DOI 10.3389/fpsyg.2014.01142
Pubmed ID
Authors

Kosuke Sawa, Akira Kurihara

Abstract

A temporal relationship between events of potential cause and effect is critical to generate a causal relationship because the cause has to be followed by the effect. The present study investigated the role of temporal relationships between events in causal inference in rats via Pavlovian pairings. In Experiment 1A, subjects in Group Successive received training trials whereby Event 1 (tone or light) was followed by Events 2 (light or tone) and 3 (sucrose solution), whereas those in Group Simultaneous received simultaneous pairings of Events 1 and 2, and Events 1 and 3. During testing, a lever was inserted into the experimental chamber, where subjects were allowed to press the lever which produced the occurrence of Event 2 without reward. By measuring nose-poke responses during the presentation of Event 2, assumingly based on the prediction of occurrence of sucrose solution, subjects in Group Successive showed a relatively lower response rate than did those in Group Simultaneous. In Experiment 1B, this difference was not observed if subjects received the presentations of Event 2 which was irrelevant to their lever pressing during testing. These results suggest that rats can differentiate their response based on the elemental temporal information even when the integrated temporal map was the same, and implied that rats use temporal information as well as conditional probability based on causal Bayesian network account.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Luxembourg 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Student > Doctoral Student 3 14%
Unspecified 2 9%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 2 9%
Other 5 23%
Unknown 5 23%
Readers by discipline Count As %
Psychology 9 41%
Computer Science 3 14%
Unspecified 2 9%
Agricultural and Biological Sciences 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 1 5%
Unknown 5 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 28 January 2017.
All research outputs
#1,253,335
of 25,727,480 outputs
Outputs from Frontiers in Psychology
#2,609
of 34,751 outputs
Outputs of similar age
#13,552
of 268,986 outputs
Outputs of similar age from Frontiers in Psychology
#50
of 372 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 34,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 92% 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 268,986 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 372 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.