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首页> 外文期刊>Journal of Computational Neuroscience >A fast model of voltage-dependent NMDA receptors
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A fast model of voltage-dependent NMDA receptors

机译：电压依赖性NMDA受体的快速模型

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Nmda receptors are among the crucial elements of central nervous system models. Recent studies show that both conductance and kinetics of these receptors are changing voltage-dependently in some parts of the brain. Therefore, several models have been introduced to simulate their current. However, on the one hand, kinetic models— which are able to simulate these voltage-dependent phenomena—are computationally expensive for modeling of large neural networks. On the other hand, classic exponential models, which are computationally less expensive, are not able to simulate the voltage-dependency of these receptors, accurately. In this study, we have modified these classic models to endow them with the voltage-dependent conductance and time constants. Temperature sensitivity and de-sensitization of these receptors are also taken into account. We show that, it is possible to simulate the most important physiological aspects of NMDA receptor's behavior using only three to four differential equations, which is significantly smaller than the previous kinetic models. Consequently, it seems that our model is both fast and physiologically plausible and therefore is a suitable candidate for the modeling of large neural networks.
机译：Nmda受体是中枢神经系统模型的关键要素。最近的研究表明，这些受体的电导和动力学都在大脑​​的某些部位随电压而变化。因此，引入了几种模型来模拟它们的电流。但是，一方面，能够模拟这些电压相关现象的动力学模型对于大型神经网络的建模在计算上是昂贵的。另一方面，在计算上较便宜的经典指数模型不能准确地模拟这些受体的电压依赖性。在这项研究中，我们修改了这些经典模型，使其具有电压依赖性电导和时间常数。还考虑了这些受体的温度敏感性和脱敏性。我们表明，有可能仅使用三到四个微分方程来模拟NMDA受体行为的最重要的生理方面，该方程明显小于以前的动力学模型。因此，看来我们的模型既快速又在生理上合理，因此适合用于大型神经网络的建模。

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