论文标题
单神经元的低维模型:评论
Low-dimensional models of single neurons: A review
论文作者
论文摘要
经典的Hodgkin-Huxley(HH)动作电位生成的点神经元模型是四维的。它由四个普通微分方程组成,描述了膜电位的动力学和与瞬态钠和延迟的直流钾离子电流相关的三个门控变量。基于电导的HH类型模型是经典HH模型的高维扩展。它们包括许多与其他离子电流类型相关的补充状态变量,并能够描述其他现象,例如子阈值振荡,混合模式振荡(亚阈值振荡,插入峰值),聚类和爆发。在本手稿中,我们讨论了生物物理上合理和现象学还原模型,这些模型保留了HH类型模型的生物物理和/或动态描述以及产生复杂现象的能力,但是有效维度(状态变量)的数量较低。我们描述了几种代表性模型。我们还描述了从HH类型模型中得出减少模型的系统和启发式方法。
The classical Hodgkin-Huxley (HH) point-neuron model of action potential generation is four-dimensional. It consists of four ordinary differential equations describing the dynamics of the membrane potential and three gating variables associated to a transient sodium and a delayed-rectifier potassium ionic currents. Conductance-based models of HH type are higher-dimensional extensions of the classical HH model. They include a number of supplementary state variables associated with other ionic current types, and are able to describe additional phenomena such as sub-threshold oscillations, mixed-mode oscillations (subthreshold oscillations interspersed with spikes), clustering and bursting. In this manuscript we discuss biophysically plausible and phenomenological reduced models that preserve the biophysical and/or dynamic description of models of HH type and the ability to produce complex phenomena, but the number of effective dimensions (state variables) is lower. We describe several representative models. We also describe systematic and heuristic methods of deriving reduced models from models of HH type.