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Modeling thalamocortical cell: impact of Ca2+ channel distribution and cell geometry on firing pattern

Overview of attention for article published in Frontiers in Computational Neuroscience, December 2008
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Title
Modeling thalamocortical cell: impact of Ca2+ channel distribution and cell geometry on firing pattern
Published in
Frontiers in Computational Neuroscience, December 2008
DOI 10.3389/neuro.10.005.2008
Pubmed ID
Authors

Reza Zomorrodi, Helmut Kröger, Igor Timofeev

Abstract

The influence of calcium channel distribution and geometry of the thalamocortical cell upon its tonic firing and the low threshold spike (LTS) generation was studied in a 3-compartment model, which represents soma, proximal and distal dendrites as well as in multi-compartment model using the morphology of a real reconstructed neuron. Using an uniform distribution of Ca(2+) channels, we determined the minimal number of low threshold voltage-activated calcium channels and their permeability required for the onset of LTS in response to a hyperpolarizing current pulse. In the 3-compartment model, we found that the channel distribution influences the firing pattern only in the range of 3% below the threshold value of total T-channel density. In the multi-compartmental model, the LTS could be generated by only 64% of unequally distributed T-channels compared to the minimal number of equally distributed T-channels. For a given channel density and injected current, the tonic firing frequency was found to be inversely proportional to the size of the cell. However, when the Ca(2+) channel density was elevated in soma or proximal dendrites, then the amplitude of LTS response and burst spike frequencies were determined by the ratio of total to threshold number of T-channels in the cell for a specific geometry.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Cuba 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 43%
Student > Ph. D. Student 7 18%
Professor 6 15%
Professor > Associate Professor 2 5%
Student > Master 2 5%
Other 4 10%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 53%
Neuroscience 8 20%
Physics and Astronomy 2 5%
Computer Science 2 5%
Medicine and Dentistry 2 5%
Other 2 5%
Unknown 3 8%
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 28 July 2012.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Frontiers in Computational Neuroscience
#1,116
of 1,463 outputs
Outputs of similar age
#167,377
of 178,865 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,463 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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