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Sleep-Dependent Synaptic Down-Selection (I): Modeling the Benefits of Sleep on Memory Consolidation and Integration

Overview of attention for article published in Frontiers in Neurology, January 2013
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Title
Sleep-Dependent Synaptic Down-Selection (I): Modeling the Benefits of Sleep on Memory Consolidation and Integration
Published in
Frontiers in Neurology, January 2013
DOI 10.3389/fneur.2013.00143
Pubmed ID
Authors

Andrew Nere, Atif Hashmi, Chiara Cirelli, Giulio Tononi

Abstract

Sleep can favor the consolidation of both procedural and declarative memories, promote gist extraction, help the integration of new with old memories, and desaturate the ability to learn. It is often assumed that such beneficial effects are due to the reactivation of neural circuits in sleep to further strengthen the synapses modified during wake or transfer memories to different parts of the brain. A different possibility is that sleep may benefit memory not by further strengthening synapses, but rather by renormalizing synaptic strength to restore cellular homeostasis after net synaptic potentiation in wake. In this way, the sleep-dependent reactivation of neural circuits could result in the competitive down-selection of synapses that are activated infrequently and fit less well with the overall organization of memories. By using computer simulations, we show here that synaptic down-selection is in principle sufficient to explain the beneficial effects of sleep on the consolidation of procedural and declarative memories, on gist extraction, and on the integration of new with old memories, thereby addressing the plasticity-stability dilemma.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 1%
Colombia 1 <1%
Germany 1 <1%
Uruguay 1 <1%
Brazil 1 <1%
Peru 1 <1%
China 1 <1%
United States 1 <1%
Philippines 1 <1%
Other 0 0%
Unknown 148 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 30%
Student > Master 27 17%
Researcher 21 13%
Student > Bachelor 17 11%
Student > Doctoral Student 6 4%
Other 17 11%
Unknown 22 14%
Readers by discipline Count As %
Psychology 35 22%
Agricultural and Biological Sciences 34 22%
Neuroscience 33 21%
Medicine and Dentistry 12 8%
Computer Science 5 3%
Other 11 7%
Unknown 28 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 September 2013.
All research outputs
#20,203,867
of 22,723,682 outputs
Outputs from Frontiers in Neurology
#8,638
of 11,628 outputs
Outputs of similar age
#248,790
of 280,763 outputs
Outputs of similar age from Frontiers in Neurology
#117
of 210 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,628 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.