On the Hybrid Model of Nerve Pulse: Mathematical Analysis and Numerical Results

Alexander Mengnjo, Jake Leonard Nkeck
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Abstract

Amongst the important phenomena in neurophysiology, nerve pulse generation and propagation is fundamental. Scientists have studied this phenomena using mathematical models based on experimental observations on the physiological processes in the nerve cell. Widely used models include: the Hodgkin-Huxley (H-H) model, which is based entirely on the electrical activity of the nerve cell; and the Heimburg and Jackson (H-J), model based on the thermodynamic activity of the nerve cell. These classes of models do not, individually, give a complete picture of the processes that lead to nerve pulse generation and propagation. Recently, a hybrid model proposed by Mengnjo, Dikandé and Ngwa (M-D-N), takes into consideration both the electrical and thermodynamic activities of the nerve cell. In their work, the first three bound states of the model are analytically computed and they showed great resemblance to some of the experimentally observed pulse profiles. With these bound states, the M-D-N model reduces to an initial value problem of a linear parabolic partial differential equation with variable coefficients. In this work we consider the resulting initial value problem and, using the theory of function spaces, propose and prove conditions under which such equations will admit unique solutions. We then verify that the resulting initial value problem from the M-D-N model satisfies these conditions and so has a unique solution. Given that the derived initial value problem is complex and there are no known analytic techniques that can be deployed to obtain its solution, we designed a numerical experiment to estimate the solutions. The simulations revealed that the unique solution is a stable pulse that propagates in the x-t plane with constant velocity and maintains the shape of the initial profile.
神经脉冲混合模型:数学分析与数值结果
在神经生理学的重要现象中,神经脉冲的产生和传播是最基本的。科学家们利用基于神经细胞生理过程实验观察的数学模型研究了这一现象。广泛使用的模型包括:霍奇金-赫胥黎(H-H)模型,它完全基于神经细胞的电活动;以及基于神经细胞热力学活动的Heimburg和Jackson (H-J)模型。这些类型的模型,单独来说,并不能给出导致神经脉冲产生和传播过程的完整图景。最近,由Mengnjo, dikand和Ngwa (M-D-N)提出的混合模型同时考虑了神经细胞的电和热力学活动。在他们的工作中,模型的前三个束缚态是解析计算的,它们与一些实验观察到的脉冲轮廓非常相似。在这些约束状态下,M-D-N模型可简化为一个变系数线性抛物型偏微分方程的初值问题。在本工作中,我们考虑了由此产生的初值问题,并利用函数空间理论,提出并证明了这些方程允许唯一解的条件。然后我们验证从M-D-N模型得到的初值问题满足这些条件,因此具有唯一解。考虑到导出的初值问题很复杂,并且没有已知的解析技术可以用于获得其解,我们设计了一个数值实验来估计解。模拟结果表明,唯一解是一个稳定的脉冲,在x-t平面上以恒定速度传播,并保持初始轮廓的形状。
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