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Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy

机译:癫痫症多发性宏观模型的分析与增强

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摘要

Macroscopic models of epilepsy can deliver surprisingly realistic EEG simulations. In the present study, a prolific series of models is evaluated with regard to theoretical and computational concerns, and enhancements are developed. Specifically, we analyze three aspects of the models: (1) Using dynamical systems analysis, we demonstrate and explain the presence of direct current potentials in the simulated EEG that were previously undocumented. (2) We explain how the system was not ideally formulated for numerical integration of stochastic differential equations. A reformulated system is developed to support proper methodology. (3) We explain an unreported contradiction in the published model specification regarding the use of a mathematical reduction method. We then use the method to reduce the number of equations and further improve the computational efficiency. The intent of our critique is to enhance the evolution of macroscopic modeling of epilepsy and assist others who wish to explore this exciting class of models further.
机译:癫痫的宏观模型可以提供令人惊讶的逼真的脑电图模拟。在本研究中,针对理论和计算方面的评估对一系列模型进行了评估,并进行了改进。具体来说,我们分析了模型的三个方面:(1)使用动力学系统分析,我们演示并解释了模拟EEG中直流电势的存在,这些电势以前没有记录。 (2)我们解释了如何将系统不理想地用于随机微分方程的数值积分。开发了重新制定的系统以支持正确的方法。 (3)我们解释了已发布的模型规范中关于使用数学归约方法的未报告矛盾。然后,我们使用该方法减少方程式的数量并进一步提高计算效率。我们批评的目的是促进癫痫宏观模型的发展,并协助希望进一步探索这一令人兴奋模型的其他人。

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