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Pigeons acquire multiple categories in parallel via associative learning: A parallel to human word learning?

Overview of attention for article published in Cognition, December 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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12 news outlets
blogs
3 blogs
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19 X users
facebook
12 Facebook pages

Citations

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44 Dimensions

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98 Mendeley
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Title
Pigeons acquire multiple categories in parallel via associative learning: A parallel to human word learning?
Published in
Cognition, December 2014
DOI 10.1016/j.cognition.2014.11.020
Pubmed ID
Authors

Edward A Wasserman, Daniel I Brooks, Bob McMurray

Abstract

Might there be parallels between category learning in animals and word learning in children? To examine this possibility, we devised a new associative learning technique for teaching pigeons to sort 128 photographs of objects into 16 human language categories. We found that pigeons learned all 16 categories in parallel, they perceived the perceptual coherence of the different object categories, and they generalized their categorization behavior to novel photographs from the training categories. More detailed analyses of the factors that predict trial-by-trial learning implicated a number of factors that may shape learning. First, we found considerable trial-by-trial dependency of pigeons' categorization responses, consistent with several recent studies that invoke this dependency to claim that humans acquire words via symbolic or inferential mechanisms; this finding suggests that such dependencies may also arise in associative systems. Second, our trial-by-trial analyses divulged seemingly irrelevant aspects of the categorization task, like the spatial location of the report responses, which influenced learning. Third, those trial-by-trial analyses also supported the possibility that learning may be determined both by strengthening correct stimulus-response associations and by weakening incorrect stimulus-response associations. The parallel between all these findings and important aspects of human word learning suggests that associative learning mechanisms may play a much stronger part in complex human behavior than is commonly believed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 2 2%
Austria 2 2%
Unknown 92 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Student > Master 16 16%
Student > Bachelor 13 13%
Professor 8 8%
Researcher 6 6%
Other 21 21%
Unknown 9 9%
Readers by discipline Count As %
Psychology 40 41%
Agricultural and Biological Sciences 9 9%
Linguistics 8 8%
Neuroscience 5 5%
Medicine and Dentistry 4 4%
Other 17 17%
Unknown 15 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 24 July 2020.
All research outputs
#368,677
of 25,373,627 outputs
Outputs from Cognition
#106
of 3,273 outputs
Outputs of similar age
#4,199
of 368,088 outputs
Outputs of similar age from Cognition
#2
of 59 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,273 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 96% 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 368,088 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 98% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.