The Effect of Variations in Ionic Conductance Values on the Suppression of Repetitive Spiking in a Mathematical Model of Type-A Medial Vestibular Nucleus Neurons

dc.contributor.authorShirahata, Takaaki
dc.date.accessioned2016-07-21T13:31:51Z
dc.date.available2016-07-21T13:31:51Z
dc.date.issued2016-06
dc.description.abstractA previous study has proposed a mathematical model of type-A medial vestibular nucleus neurons (mVNn). This model is described by a system of nonlinear ordinary differential equations, which is based on the Hodgkin-Huxley formalism. The type-A mVNn model contains several ionic conductances, such as the sodium conductance, calcium conductance, delayed-rectifier potassium conductance, transient potassium conductance, and calcium-dependent potassium conductance. The previous study revealed that spontaneous repetitive spiking in the type-A mVNn model can be suppressed by hyperpolarizing stimulation. However, how this suppression is affected by the ionic conductances has not been clarified in the previous study. The present study performed numerical simulation analysis of the type-A mVNn model to clarify how variations in the different ionic conductance values affect the suppression of repetitive spiking. The present study revealed that the threshold for the transition from a repetitive spiking state to a quiescent state is differentially sensitive to variations in the ionic conductances among the different types of ionic conductance.en_US
dc.identifier.urihttp://dx.doi.org/10.4236/am.2016.710101
dc.identifier.urihttp://hdl.handle.net/123456789/880
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.relation.ispartofseriesApplied Mathematics, 2016, 7, 1134-1139;
dc.subjectMathematical Modelen_US
dc.subjectNumerical Simulationen_US
dc.subjectType-A Medial Vestibular Nucleus Neuronsen_US
dc.subjectIonic Conductanceen_US
dc.titleThe Effect of Variations in Ionic Conductance Values on the Suppression of Repetitive Spiking in a Mathematical Model of Type-A Medial Vestibular Nucleus Neuronsen_US
dc.typeArticleen_US
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