缩放FitzHugh-Nagumo方程作为建模动力学调整到可测量的生物物理数据的构建块

2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) Pub Date : 2017-11-01 DOI:10.1109/ICIIBMS.2017.8279687

E. Postnikov, O. V. Titkova, A. Lavrova

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引用次数: 0

摘要

我们应用FitzHugh-Nagumo方程的缩放拟合方法来描述由两个耦合神经元组成的电路，旨在重现大鼠沿着线性轨道运行期间出现的theta节律的非平稳脑电图调制。研究表明，这种方法可以定量再现记录的振荡，因此，可以用于进一步开发描述大鼠大脑空间导航的计算模型。

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Scaled FitzHugh-Nagumo equations as building blocks for modelling dynamics adjusted to measurable biophysical data

We apply the method of scaling fitting of the FitzHugh-Nagumo equation to describe a circuit consisting of the two coupled neurons aimed to reproduce non-stationary EEG modulations of theta-rhythm emerging during a rat's run along a linear track. It is shown that such an approach allows a quantitative reproduction of recorded oscillations and, therefore, may be used for a further development of computational models describing the spatial navigation in a rat brain.

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2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

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