解读电生理功率谱。
Interpreting the electrophysiological power spectrum.
作者信息
Gao Richard
机构信息
Department of Cognitive Science, University of California, San Diego, La Jolla, California
出版信息
J Neurophysiol. 2016 Feb 1;115(2):628-30. doi: 10.1152/jn.00722.2015. Epub 2015 Aug 5.
Abstract
Recent experimental findings suggest that there may be rich physiological information embedded within the power spectrum of neurophysiological recordings, which, in addition to power in specific oscillatory frequencies, can be extracted with the appropriate model. This article reviews previous empirical and modeling results, as well as the canonical power law model that is often used to describe the power spectrum. In addition, a modified power law model with parameters estimating synaptic and spiking contributions is proposed.
摘要
最近的实验结果表明，神经生理记录的功率谱中可能蕴含着丰富的生理信息，除了特定振荡频率的功率外，这些信息可以通过适当的模型提取出来。本文回顾了先前的实证和建模结果，以及常用于描述功率谱的典型幂律模型。此外，还提出了一种带有估计突触和尖峰贡献参数的修正幂律模型。
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