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Updated: May 13, 2026

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software
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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

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通过将非线性因素和频段选择与机器学习模型相结合,优化功能性大脑网络分析.

Kaixing Hu1, Baohua Zhong2, Renjie Tian1

  • 1School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, China.

Medicine
|February 28, 2025
PubMed
概括

这项研究引入了一种新的方法,将波波变换和相互信息结合起来,以分析大脑功能网络. 该方法揭示了隐藏的非线性模式,显著提高了大脑连接评估的准确性.

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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...