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Neural Decoding of Visual Imagery During Sleep

Overview of attention for article published in Science, April 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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277 Dimensions

Readers on

mendeley
1182 Mendeley
citeulike
8 CiteULike
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Title
Neural Decoding of Visual Imagery During Sleep
Published in
Science, April 2013
DOI 10.1126/science.1234330
Pubmed ID
Authors

T. Horikawa, M. Tamaki, Y. Miyawaki, Y. Kamitani

Abstract

Visual imagery during sleep has long been a topic of persistent speculation, but its private nature has hampered objective analysis. Here we present a neural decoding approach in which machine-learning models predict the contents of visual imagery during the sleep-onset period, given measured brain activity, by discovering links between human functional magnetic resonance imaging patterns and verbal reports with the assistance of lexical and image databases. Decoding models trained on stimulus-induced brain activity in visual cortical areas showed accurate classification, detection, and identification of contents. Our findings demonstrate that specific visual experience during sleep is represented by brain activity patterns shared by stimulus perception, providing a means to uncover subjective contents of dreaming using objective neural measurement.

Twitter Demographics

The data shown below were collected from the profiles of 576 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 29 2%
Japan 12 1%
United Kingdom 10 <1%
Germany 8 <1%
France 6 <1%
Canada 5 <1%
Netherlands 4 <1%
Italy 3 <1%
Chile 3 <1%
Other 26 2%
Unknown 1076 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 261 22%
Researcher 230 19%
Student > Master 169 14%
Student > Bachelor 140 12%
Student > Doctoral Student 68 6%
Other 210 18%
Unknown 104 9%
Readers by discipline Count As %
Psychology 278 24%
Neuroscience 219 19%
Agricultural and Biological Sciences 180 15%
Medicine and Dentistry 87 7%
Computer Science 80 7%
Other 184 16%
Unknown 154 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 957. 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 15 April 2021.
All research outputs
#8,589
of 17,446,661 outputs
Outputs from Science
#561
of 70,841 outputs
Outputs of similar age
#49
of 161,968 outputs
Outputs of similar age from Science
#2
of 877 outputs
Altmetric has tracked 17,446,661 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 70,841 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.0. This one has done particularly well, scoring higher than 99% 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 161,968 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 99% of its contemporaries.
We're also able to compare this research output to 877 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 99% of its contemporaries.