It was previously reported, that temperature may significantly influence neural dynamics on the different levels of brain function. Thus, in computational neuroscience, it would be useful to make models scalable for a wide range of various brain temperatures. However, lack of experimental data and an absence of temperature-dependent analytical models of synaptic conductance does not allow to include temperature effects at the multi-neuron modeling level. In this paper, we propose a first step to deal with this problem: A new analytical model of AMPA-type synaptic conductance, which is able to incorporate temperature effects in low-frequency stimulations. It was constructed based on Markov model description of AMPA receptor kinetics using the set of coupled ODEs. The closed-form solution for the set of differential equations was found using uncoupling assumption (introduced in the paper) with few simplifications motivated both from experimental data and from Monte Carlo simulation of synaptic transmission. The model may be used for computationally efficient and biologically accurate implementation of temperature effects on AMPA receptor conductance in large-scale neural network simulations. As a result, it may open a wide range of new possibilities for researching the influence of temperature on certain aspects of brain functioning.

中文翻译：

---

温度对AMPA型突触的影响的分析模型。

先前已有报道，温度可能会在不同程度的脑功能上显着影响神经动力学。因此，在计算神经科学中，使模型可扩展到各种大脑温度范围将是有用的。但是，缺乏实验数据和缺乏温度依赖性的突触电导分析模型不允许在多神经元建模水平上包括温度效应。在本文中，我们提出了解决该问题的第一步：AMPA型突触电导的新分析模型，该模型能够将温度效应整合到低频刺激中。它是根据使用耦合ODE集的AMPA受体动力学的马尔可夫模型描述构建的。使用解耦假设（本文中介绍）找到了一组微分方程组的闭式解，并通过实验数据和突触传递的蒙特卡洛模拟进行了简化。该模型可用于大规模神经网络仿真中对AMPA受体电导的温度影响的计算有效且生物学上准确的实现。结果，它可能为研究温度对脑功能某些方面的影响开辟广泛的新可能性。该模型可用于大规模神经网络仿真中对AMPA受体电导的温度影响的计算有效且生物学上准确的实现。结果，它可能为研究温度对脑功能某些方面的影响开辟广泛的新可能性。该模型可用于大规模神经网络仿真中对AMPA受体电导的温度影响的计算有效且生物学上准确的实现。结果，它可能为研究温度对脑功能某些方面的影响开辟广泛的新可能性。