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Frequency-Dependent Changes in NMDAR-Dependent Synaptic Plasticity

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2011
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Title
Frequency-Dependent Changes in NMDAR-Dependent Synaptic Plasticity
Published in
Frontiers in Computational Neuroscience, January 2011
DOI 10.3389/fncom.2011.00038
Pubmed ID
Authors

Arvind Kumar, Mayank R. Mehta

Abstract

The NMDAR-dependent synaptic plasticity is thought to mediate several forms of learning, and can be induced by spike trains containing a small number of spikes occurring with varying rates and timing, as well as with oscillations. We computed the influence of these variables on the plasticity induced at a single NMDAR containing synapse using a reduced model that was analytically tractable, and these findings were confirmed using detailed, multi-compartment model. In addition to explaining diverse experimental results about the rate and timing dependence of synaptic plasticity, the model made several novel and testable predictions. We found that there was a preferred frequency for inducing long-term potentiation (LTP) such that higher frequency stimuli induced lesser LTP, decreasing as 1/f when the number of spikes in the stimulus was kept fixed. Among other things, the preferred frequency for inducing LTP varied as a function of the distance of the synapse from the soma. In fact, same stimulation frequencies could induce LTP or long-term depression depending on the dendritic location of the synapse. Next, we found that rhythmic stimuli induced greater plasticity then irregular stimuli. Furthermore, brief bursts of spikes significantly expanded the timing dependence of plasticity. Finally, we found that in the ∼5-15-Hz frequency range both rate- and timing-dependent plasticity mechanisms work synergistically to render the synaptic plasticity most sensitive to spike timing. These findings provide computational evidence that oscillations can have a profound influence on the plasticity of an NMDAR-dependent synapse, and show a novel role for the dendritic morphology in this process.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Switzerland 3 2%
Germany 3 2%
United Kingdom 2 1%
Sweden 1 <1%
Finland 1 <1%
India 1 <1%
France 1 <1%
China 1 <1%
Other 3 2%
Unknown 137 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 32%
Researcher 36 23%
Student > Master 17 11%
Student > Bachelor 14 9%
Professor 8 5%
Other 21 13%
Unknown 11 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 56 36%
Neuroscience 30 19%
Psychology 11 7%
Engineering 10 6%
Medicine and Dentistry 9 6%
Other 25 16%
Unknown 16 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 June 2022.
All research outputs
#2,854,990
of 22,656,971 outputs
Outputs from Frontiers in Computational Neuroscience
#131
of 1,334 outputs
Outputs of similar age
#17,610
of 180,260 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 19 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 89% 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 180,260 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 90% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.