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Reliability of spike and burst firing in thalamocortical relay cells

Overview of attention for article published in Journal of Computational Neuroscience, May 2013
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Title
Reliability of spike and burst firing in thalamocortical relay cells
Published in
Journal of Computational Neuroscience, May 2013
DOI 10.1007/s10827-013-0454-8
Pubmed ID
Authors

Fleur Zeldenrust, Pascal J. P. Chameau, Wytse J. Wadman

Abstract

The reliability and precision of the timing of spikes in a spike train is an important aspect of neuronal coding. We investigated reliability in thalamocortical relay (TCR) cells in the acute slice and also in a Morris-Lecar model with several extensions. A frozen Gaussian noise current, superimposed on a DC current, was injected into the TCR cell soma. The neuron responded with spike trains that showed trial-to-trial variability, due to amongst others slow changes in its internal state and the experimental setup. The DC current allowed to bring the neuron in different states, characterized by a well defined membrane voltage (between -80 and -50 mV) and by a specific firing regime that on depolarization gradually shifted from a predominantly bursting regime to a tonic spiking regime. The filtered frozen white noise generated a spike pattern output with a broad spike interval distribution. The coincidence factor and the Hunter and Milton measure were used as reliability measures of the output spike train. In the experimental TCR cell as well as the Morris-Lecar model cell the reliability depends on the shape (steepness) of the current input versus spike frequency output curve. The model also allowed to study the contribution of three relevant ionic membrane currents to reliability: a T-type calcium current, a cation selective h-current and a calcium dependent potassium current in order to allow bursting, investigate the consequences of a more complex current-frequency relation and produce realistic firing rates. The reliability of the output of the TCR cell increases with depolarization. In hyperpolarized states bursts are more reliable than single spikes. The analytically derived relations were capable to predict several of the experimentally recorded spike features.

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Mendeley readers

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The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Estonia 1 3%
France 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 34%
Student > Ph. D. Student 10 26%
Student > Master 3 8%
Student > Bachelor 2 5%
Professor > Associate Professor 2 5%
Other 3 8%
Unknown 5 13%
Readers by discipline Count As %
Neuroscience 10 26%
Engineering 8 21%
Agricultural and Biological Sciences 5 13%
Physics and Astronomy 3 8%
Medicine and Dentistry 2 5%
Other 3 8%
Unknown 7 18%
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 29 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from Journal of Computational Neuroscience
#223
of 307 outputs
Outputs of similar age
#146,301
of 195,124 outputs
Outputs of similar age from Journal of Computational Neuroscience
#5
of 8 outputs
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So far Altmetric has tracked 307 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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