通过建立周期性过程的相位动力学模型确定从大鼠生物数据中提取的时间序列之间耦合的方向性

IF 1.1 4区物理与天体物理 Q4 PHYSICS, APPLIED

Technical Physics Pub Date : 2024-09-26 DOI:10.1134/S1063784224060094

O. E. Dick, A. L. Glazov

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引用次数: 0

摘要

基于弱耦合和弱噪声周期过程相位动态模拟的振荡器间耦合方向识别方法被用于确定从生物信号中提取的时间序列间的耦合方向。以麻醉大鼠的神经元活动、动脉压和呼吸频率作为初始数据。分析结果揭示了时间序列之间耦合方向的多种选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Determining the Directionality of Coupling between Time Series Extracted from Biological Data of Rats by Modeling the Phase Dynamics of Periodic Processes

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Determining the Directionality of Coupling between Time Series Extracted from Biological Data of Rats by Modeling the Phase Dynamics of Periodic Processes

The method of identifying the direction of the coupling between oscillators based on the simulation of phase dynamics of weakly coupled and weakly noisy periodic processes is used to determine the direction of the coupling between time series extracted from biological signals. Neuronal activity, arterial pressure and respiratory rate of anesthetized rats were used as initial data. Various options for the direction of the coupling between the analyzed time series were revealed.

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来源期刊

Technical Physics 物理-物理：应用

CiteScore

1.30

自引率

14.30%

发文量

139

审稿时长

3-6 weeks

期刊介绍： Technical Physics is a journal that contains practical information on all aspects of applied physics, especially instrumentation and measurement techniques. Particular emphasis is put on plasma physics and related fields such as studies of charged particles in electromagnetic fields, synchrotron radiation, electron and ion beams, gas lasers and discharges. Other journal topics are the properties of condensed matter, including semiconductors, superconductors, gases, liquids, and different materials.