Liu Yihui, Yang Jing, Hu Sanjue
Institute of Neuroscience, Fourth Military Medical University, Shaanxi 710032, People's Republic of China.
J Comput Neurosci. 2008 Feb;24(1):95-104. doi: 10.1007/s10827-007-0048-4. Epub 2007 Jul 21.
Neurons can make different responses to identical inputs. According to the emerging frequency of repetitive firing, neurons are classified into two types: type 1 and type 2 excitability. Though in mathematical simulations, minor modifications of parameters describing ionic currents can result in transitions between these two excitabilities, empirical evidence to support these theoretical possibilities is scarce. Here we report a joint theoretical and experimental study to test the hypothesis that changes in parameters describing ionic currents cause predictable transitions between the two excitabilities in mesencephalic V (Mes V) neurons. We developed a simple mathematical model of Mes V neurons. Using bifurcation analysis and model simulation, we then predicted that changes in conductance of two low-threshold currents would result in transitions between type 1 and type 2. Finally, by applying specific channel blockers, we observed the transition between two excitabilities forecast by the mathematical model.
神经元对相同的输入可以产生不同的反应。根据重复放电出现的频率,神经元可分为两种类型:1型和2型兴奋性。尽管在数学模拟中,描述离子电流的参数的微小变化可导致这两种兴奋性之间的转变,但支持这些理论可能性的实验证据却很少。在此,我们报告一项理论与实验相结合的研究,以检验以下假设:描述离子电流的参数变化会导致中脑V(Mes V)神经元的两种兴奋性之间发生可预测的转变。我们构建了一个简单的Mes V神经元数学模型。通过分岔分析和模型模拟,我们预测两种低阈值电流的电导变化将导致1型和2型之间的转变。最后,通过应用特定的通道阻滞剂,我们观察到了数学模型预测的两种兴奋性之间的转变。