↓ Skip to main content

The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model

Overview of attention for article published in Journal of Computational Neuroscience, February 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
31 Mendeley
Title
The effect of dendritic voltage-gated conductances on the neuronal impedance: a quantitative model
Published in
Journal of Computational Neuroscience, February 2012
DOI 10.1007/s10827-012-0385-9
Pubmed ID
Authors

Szabolcs Káli, Rita Zemankovics

Abstract

Neuronal impedance characterizes the magnitude and timing of the subthreshold response of a neuron to oscillatory input at a given frequency. It is known to be influenced by both the morphology of the neuron and the presence of voltage-gated conductances in the cell membrane. Most existing theoretical accounts of neuronal impedance considered the effects of voltage-gated conductances but neglected the spatial extent of the cell, while others examined spatially extended dendrites with a passive or spatially uniform quasi-active membrane. We derived an explicit mathematical expression for the somatic input impedance of a model neuron consisting of a somatic compartment coupled to an infinite dendritic cable which contained voltage-gated conductances, in the more general case of non-uniform dendritic membrane potential. The validity and generality of this model was verified through computer simulations of various model neurons. The analytical model was then applied to the analysis of experimental data from real CA1 pyramidal neurons. The model confirmed that the biophysical properties and predominantly dendritic localization of the hyperpolarization-activated cation current I (h) were important determinants of the impedance profile, but also predicted a significant contribution from a depolarization-activated fast inward current. Our calculations also implicated the interaction of I (h) with amplifying currents as the main factor governing the shape of the impedance-frequency profile in two types of hippocampal interneuron. Our results provide not only a theoretical advance in our understanding of the frequency-dependent behavior of nerve cells, but also a practical tool for the identification of candidate mechanisms that determine neuronal response properties.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Greece 1 3%
Germany 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 32%
Student > Ph. D. Student 7 23%
Student > Bachelor 3 10%
Student > Master 3 10%
Professor 2 6%
Other 2 6%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 39%
Neuroscience 4 13%
Engineering 4 13%
Medicine and Dentistry 3 10%
Materials Science 1 3%
Other 0 0%
Unknown 7 23%
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 24 February 2012.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from Journal of Computational Neuroscience
#222
of 306 outputs
Outputs of similar age
#121,660
of 156,209 outputs
Outputs of similar age from Journal of Computational Neuroscience
#5
of 6 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 156,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.