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Neural reactivations during sleep determine network credit assignment

Overview of attention for article published in Nature Neuroscience, July 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
19 news outlets
blogs
2 blogs
twitter
50 X users
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
262 Mendeley
citeulike
3 CiteULike
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Title
Neural reactivations during sleep determine network credit assignment
Published in
Nature Neuroscience, July 2017
DOI 10.1038/nn.4601
Pubmed ID
Authors

Tanuj Gulati, Ling Guo, Dhakshin S Ramanathan, Anitha Bodepudi, Karunesh Ganguly

Abstract

A fundamental goal of motor learning is to establish the neural patterns that produce a desired behavioral outcome. It remains unclear how and when the nervous system solves this 'credit assignment' problem. Using neuroprosthetic learning, in which we could control the causal relationship between neurons and behavior, we found that sleep-dependent processing was required for credit assignment and the establishment of task-related functional connectivity reflecting the casual neuron-behavior relationship. Notably, we observed a strong link between the microstructure of sleep reactivations and credit assignment, with downscaling of non-causal activity. Decoupling of spiking to slow oscillations using optogenetic methods eliminated rescaling. Thus, our results suggest that coordinated firing during sleep is essential for establishing sparse activation patterns that reflect the causal neuron-behavior relationship.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 262 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 262 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 70 27%
Researcher 50 19%
Student > Bachelor 26 10%
Student > Master 24 9%
Student > Doctoral Student 17 6%
Other 34 13%
Unknown 41 16%
Readers by discipline Count As %
Neuroscience 93 35%
Agricultural and Biological Sciences 39 15%
Medicine and Dentistry 18 7%
Psychology 18 7%
Computer Science 11 4%
Other 37 14%
Unknown 46 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 182. 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 August 2022.
All research outputs
#223,581
of 26,017,215 outputs
Outputs from Nature Neuroscience
#378
of 5,702 outputs
Outputs of similar age
#4,676
of 329,127 outputs
Outputs of similar age from Nature Neuroscience
#6
of 56 outputs
Altmetric has tracked 26,017,215 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 5,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.9. This one has done particularly well, scoring higher than 93% 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 329,127 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 56 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.