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Influence of extracellular oscillations on neural communication: a computational perspective

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2014
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Title
Influence of extracellular oscillations on neural communication: a computational perspective
Published in
Frontiers in Computational Neuroscience, January 2014
DOI 10.3389/fncom.2014.00009
Pubmed ID
Authors

Zoran Tiganj, Sylvain Chevallier, Eric Monacelli

Abstract

Neural communication generates oscillations of electric potential in the extracellular medium. In feedback, these oscillations affect the electrochemical processes within the neurons, influencing the timing and the number of action potentials. It is unclear whether this influence should be considered only as noise or it has some functional role in neural communication. Through computer simulations we investigated the effect of various sinusoidal extracellular oscillations on the timing and number of action potentials. Each simulation is based on a multicompartment model of a single neuron, which is stimulated through spatially distributed synaptic activations. A thorough analysis is conducted on a large number of simulations with different models of CA3 and CA1 pyramidal neurons which are modeled using realistic morphologies and active ion conductances. We demonstrated that the influence of the weak extracellular oscillations, which are commonly present in the brain, is rather stochastic and modest. We found that the stronger fields, which are spontaneously present in the brain only in some particular cases (e.g., during seizures) or that can be induced externally, could significantly modulate spike timings.

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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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Ph. D. Student 7 17%
Other 5 12%
Student > Master 5 12%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 8 20%
Readers by discipline Count As %
Neuroscience 10 24%
Engineering 4 10%
Computer Science 4 10%
Psychology 4 10%
Agricultural and Biological Sciences 3 7%
Other 8 20%
Unknown 8 20%
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 13 March 2014.
All research outputs
#20,223,099
of 22,747,498 outputs
Outputs from Frontiers in Computational Neuroscience
#1,156
of 1,338 outputs
Outputs of similar age
#264,756
of 305,221 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#16
of 16 outputs
Altmetric has tracked 22,747,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,338 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 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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