2014
DOI: 10.1155/2014/761907
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Effects of Maximal Sodium and Potassium Conductance on the Stability of Hodgkin-Huxley Model

Abstract: Hodgkin-Huxley (HH) equation is the first cell computing model in the world and pioneered the use of model to study electrophysiological problems. The model consists of four differential equations which are based on the experimental data of ion channels. Maximal conductance is an important characteristic of different channels. In this study, mathematical method is used to investigate the importance of maximal sodium conductance g-Na and maximal potassium conductance g-K. Applying stability theory, and taking g… Show more

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Cited by 11 publications
(5 citation statements)
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“…Reduction of V K and the subsequent increase in g K and decrease in g Na help us to match the experimental facts in the squid neurons. The variability in maximum conductance of different channels has been reported in many experiments [38][39][40][41][42].…”
Section: Discussionmentioning
confidence: 83%
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“…Reduction of V K and the subsequent increase in g K and decrease in g Na help us to match the experimental facts in the squid neurons. The variability in maximum conductance of different channels has been reported in many experiments [38][39][40][41][42].…”
Section: Discussionmentioning
confidence: 83%
“…Zhang et al has also shown mathematically that g K and g Na can vary within a certain range of values where the AP curve is stable [38].…”
Section: Discussionmentioning
confidence: 98%
“…To study this more comprehensively, we extended the numerical investigations by performing a parameter study on the maximum conductance G s , which is commonly known as the maximum stretch-activated ion channel conductance or the sensitivity of the electrical current to deformation. Note that diseased hearts can cause abnormal changes in the maximum conductance (Zhang et al, 2014). Thus, this value can be considered as a key variable to study the MEF effects.…”
Section: Resultsmentioning
confidence: 99%
“…However, by studying Na V activation and inactivation separately, our study indicated that acceleration of activation was the main factor leading to oscillation, while enhancement of inactivation inhibited cells oscillation after a certain extent (Figures 5, 10). There has been considerable research into bifurcation theory in H-H dynamic systems (Doi et al, 2001;Zhang et al, 2014) to indicate that I app leads to a bursting oscillations (Zhu and Wu, 2014). In the brain network, cells receive stimulus from other cells, whose effects on cellular dynamics are non-negligible.…”
Section: Bifurcation Analysis Of H-h Modelmentioning
confidence: 99%