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Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors

Overview of attention for article published in Frontiers in Computational Neuroscience, August 2015
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Title
Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors
Published in
Frontiers in Computational Neuroscience, August 2015
DOI 10.3389/fncom.2015.00108
Pubmed ID
Authors

Huaguang Gu, Baobao Pan

Abstract

In rabbit depressor nerve fibers, an on-off firing pattern, period-1 firing, and integer multiple firing with quiescent state were observed as the static pressure level was increased. A bursting pattern with bursts at the systolic phase of blood pressure, continuous firing, and bursting with burst at diastolic phase and quiescent state at systolic phase were observed as the mean level of the dynamic blood pressure was increased. For both static and dynamic pressures, the firing frequency of the first two firing patterns increased and of the last firing pattern decreased due to the quiescent state. If the quiescent state is disregarded, the spike frequency becomes an increasing trend. The instantaneous spike frequency of the systolic phase bursting, continuous firing, and diastolic phase bursting can reflect the temporal process of the systolic phase, whole procedure, and diastolic phase of the dynamic blood pressure signal, respectively. With increasing the static current corresponding to pressure level, the deterministic Hodgkin-Huxley (HH) model manifests a process from a resting state first to period-1 firing via a subcritical Hopf bifurcation and then to a resting state via a supercritical Hopf bifurcation, and the firing frequency increases. The on-off firing and integer multiple firing were here identified as noise-induced firing patterns near the subcritical and supercritical Hopf bifurcation points, respectively, using the stochastic HH model. The systolic phase bursting and diastolic phase bursting were identified as pressure-induced firings near the subcritical and supercritical Hopf bifurcation points, respectively, using an HH model with a dynamic signal. The firing, spike frequency, and instantaneous spike frequency observed in the experiment were simulated and explained using HH models. The results illustrate the dynamics of different firing patterns and the frequency and temporal coding mechanisms of aortic baroreceptor.

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Mendeley readers

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The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Student > Master 4 15%
Researcher 3 11%
Student > Bachelor 2 7%
Other 1 4%
Other 3 11%
Unknown 6 22%
Readers by discipline Count As %
Engineering 7 26%
Neuroscience 5 19%
Social Sciences 2 7%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Other 4 15%
Unknown 7 26%
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 21 June 2021.
All research outputs
#20,362,264
of 25,026,088 outputs
Outputs from Frontiers in Computational Neuroscience
#1,099
of 1,436 outputs
Outputs of similar age
#200,270
of 273,297 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#31
of 37 outputs
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