matlab拟合图代码-fooof:将神经功率谱参数化为周期性和非周期性成分
matlab拟合图代码FOOOF-拟合振荡和一个以上的f
FOOOF是一种快速，有效且具有生理信息的工具，可以对神经功率谱进行参数化。
概述
功率谱模型将功率谱模型视为两个不同功能过程的组合：
非周期性分量，反映1
/
f样特征，具有
可变数量的周期性分量（假定振荡），因为峰值上升到非周期性分量之上
这种模型驱动的方法可用于测量电生理数据（包括EEG，MEG，ECoG和LFP数据）的周期性和非周期性特性。
拟合模型以测量推定振荡的好处是，功率谱中的峰值可以根据其特定的中心频率，功率和带宽进行表征，而无需预先定义特定的目标频段并控制非周期性分量。
该模型还返回信号非周期性成分的量度，从而可以测量和比较对象内部和对象之间信号的1
/
f类成分。
文献资料
可在上找到文档。
本文档包括：
：带有激励性的示例，说明了为什么我们建议对神经功率谱进行参数化
：提供有关该模型以及如何应用该模型的分步指南
：演示示例分析和用例以及其他功能
：列出并描述了模块中所有可用的代码和功能
：回答频率询问的问题
：定义模块中使用的所有关键术语
：包含有关如何参考和报告使用该模块的信息
依存关系
FOOOF用Py
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明