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Non-linear leak currents affect mammalian neuron physiology

Overview of attention for article published in Frontiers in Cellular Neuroscience, November 2015
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Title
Non-linear leak currents affect mammalian neuron physiology
Published in
Frontiers in Cellular Neuroscience, November 2015
DOI 10.3389/fncel.2015.00432
Pubmed ID
Authors

Shiwei Huang, Sungho Hong, Erik De Schutter

Abstract

In their seminal works on squid giant axons, Hodgkin, and Huxley approximated the membrane leak current as Ohmic, i.e., linear, since in their preparation, sub-threshold current rectification due to the influence of ionic concentration is negligible. Most studies on mammalian neurons have made the same, largely untested, assumption. Here we show that the membrane time constant and input resistance of mammalian neurons (when other major voltage-sensitive and ligand-gated ionic currents are discounted) varies non-linearly with membrane voltage, following the prediction of a Goldman-Hodgkin-Katz-based passive membrane model. The model predicts that under such conditions, the time constant/input resistance-voltage relationship will linearize if the concentration differences across the cell membrane are reduced. These properties were observed in patch-clamp recordings of cerebellar Purkinje neurons (in the presence of pharmacological blockers of other background ionic currents) and were more prominent in the sub-threshold region of the membrane potential. Model simulations showed that the non-linear leak affects voltage-clamp recordings and reduces temporal summation of excitatory synaptic input. Together, our results demonstrate the importance of trans-membrane ionic concentration in defining the functional properties of the passive membrane in mammalian neurons as well as other excitable cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
South Africa 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Master 6 13%
Student > Bachelor 4 9%
Researcher 4 9%
Other 2 4%
Other 4 9%
Unknown 13 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 29%
Neuroscience 6 13%
Engineering 4 9%
Computer Science 2 4%
Business, Management and Accounting 1 2%
Other 4 9%
Unknown 15 33%
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 25 November 2015.
All research outputs
#18,430,119
of 22,832,057 outputs
Outputs from Frontiers in Cellular Neuroscience
#3,258
of 4,247 outputs
Outputs of similar age
#205,462
of 285,670 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#94
of 120 outputs
Altmetric has tracked 22,832,057 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 4,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.