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Gu H, Pan B. Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors. Front Comput Neurosci. 2015;9:108doi: 10.3389/fncom.2015.00108.
Gu, H., & Pan, B. (2015). Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors. Frontiers in computational neuroscience, 9108. https://doi.org/10.3389/fncom.2015.00108
Gu, Huaguang, and Pan, Baobao. "Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors." Frontiers in computational neuroscience vol. 9 (2015): 108. doi: https://doi.org/10.3389/fncom.2015.00108
Gu H, Pan B. Identification of neural firing patterns, frequency and temporal coding mechanisms in individual aortic baroreceptors. Front Comput Neurosci. 2015 Aug 26;9:108. doi: 10.3389/fncom.2015.00108. eCollection 2015. PMID: 26379539; PMCID: PMC4549627.
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Front Comput Neurosci. 2015 Aug 26;9:108. doi: 10.3389/fncom.2015.00108. eCollection 2015.

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

Frontiers in computational neuroscience

Huaguang Gu, Baobao Pan

Affiliations

  1. School of Aerospace Engineering and Applied Mechanics, Tongji University Shanghai, China.

PMID: 26379539 PMCID: PMC4549627 DOI: 10.3389/fncom.2015.00108

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.

Keywords: Hopf bifurcation; aortic baroreceptor; blood pressure; depolarization block; frequency coding; neural coding; neural firing pattern; temporal coding

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