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Compensation for Variable Intrinsic Neuronal Excitability by Circuit-Synaptic Interactions

Overview of attention for article published in Journal of Neuroscience, July 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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1 blog
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1 X user

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182 Mendeley
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2 CiteULike
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Article details
Title
Compensation for Variable Intrinsic Neuronal Excitability by Circuit-Synaptic Interactions
Published in
Journal of Neuroscience, July 2010
DOI 10.1523/jneurosci.0980-10.2010
Pubmed ID
Authors
Abstract

Recent theoretical and experimental work indicates that neurons tune themselves to maintain target levels of excitation by modulating ion channel expression and synaptic strengths. As a result, functionally equivalent circuits can produce similar activity despite disparate underlying network and cellular properties. To experimentally test the extent to which synaptic and intrinsic conductances can produce target activity in the presence of variability in neuronal intrinsic properties, we used the dynamic clamp to create hybrid two-cell circuits built from four types of stomatogastric neurons coupled to the same model Morris-Lecar neuron by reciprocal inhibition. We measured six intrinsic properties (input resistance, minimum membrane potential, firing rate in response to +1 nA of injected current, slope of the frequency-current curve, spike height, and spike voltage threshold) of dorsal gastric, gastric mill, lateral pyloric, and pyloric dilator neurons from male crabs of the species Cancer borealis. The intrinsic properties varied twofold to sevenfold in each cell type. We coupled each biological neuron to the Morris-Lecar model with seven different values of inhibitory synaptic conductance and also used the dynamic clamp to add seven different values of an artificial h-conductance, thus creating 49 different circuits for each biological neuron. Despite the variability in intrinsic excitability, networks formed from each neuron produced similar circuit performance at some values of synaptic and h-conductances. This work experimentally confirms results from previous modeling studies; tuning synaptic and intrinsic conductances can yield similar circuit outputs from neurons with variable intrinsic excitability.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

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

Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 4%
Germany 8 4%
United Kingdom 6 3%
Canada 2 1%
Turkey 1 <1%
Japan 1 <1%
Israel 1 <1%
Spain 1 <1%
Chile 1 <1%
Other 2 1%
Unknown 151 83%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 58 32%
Researcher 35 19%
Student > Master 20 11%
Student > Bachelor 15 8%
Professor 10 5%
Other 24 13%
Unknown 20 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 69 38%
Neuroscience 36 20%
Computer Science 13 7%
Engineering 9 5%
Medicine and Dentistry 9 5%
Other 18 10%
Unknown 28 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 27 October 2015.
All research outputs
#6,490,503
of 34,357,314 outputs
Outputs from Journal of Neuroscience
#7,822
of 23,397 outputs
Outputs of similar age
#30,670
of 150,530 outputs
Outputs of similar age from Journal of Neuroscience
#61
of 249 outputs
Altmetric has tracked 34,357,314 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 66% 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 150,530 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 249 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 74% of its contemporaries.