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首页> 外文期刊>Journal of Integrative Neuroscience >Neuronal models in infinite-dimensional spaces and their finite-dimensional projections: Part II
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Neuronal models in infinite-dimensional spaces and their finite-dimensional projections: Part II

机译:无限维空间中的神经元模型及其有限维投影:第二部分

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摘要

Application of comparison theorem is used to examine the validitiy of the "lumped parameter assumption" in describing the behavior of solutions of the continuous cable equation Ut = DUxx+f(U) with the discrete cable equation dVn/dt = d*(Vn+1 - 2Vn + Vn-1) + f(Vn), where f is a nonlinear functional describing the internal diffusion of electrical potential in single neurons. While the discrete cable equation looks like a finite difference approximation of the continuous cable equation, solutions of the two reveal significantly different behavior which imply that the compartmental models (spiking neurons) are poor quantifiers of neurons, contrary to what is commonly accepted in computational neuroscience.
机译:在描述连续电缆方程Ut = DUxx + f(U)与离散电缆方程dVn / dt = d *(Vn +)的解的行为时,比较定理的应用被用于检验“集总参数假设”的有效性。 1-2Vn + Vn-1)+ f(Vn),其中f是一个非线性函数,描述单个神经元中电势的内部扩散。尽管离散电缆方程看起来像连续电缆方程的有限差分近似,但是两者的解揭示了显着不同的行为,这意味着隔室模型(加标神经元)是神经元的较差量词,这与计算神经科学中普遍接受的相反。

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