Analysis of spike train data: A multivariate mixed effects model for phase and amplitude
Analysis of spike train data: A multivariate mixed effects model for phase and amplitude
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DOI：
10.1214/14-ejs865e
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发表时间：
2014-01-01
影响因子：
1.1
通讯作者：
Moriarty, John
中科院分区：
文献类型：
--
作者：
Hadjipantelis, Pantelis Z.;Aston, John A. D.;Moriarty, John
对尖峰序列数据的讨论采用了Hadjipantelis等人为语言学数据开发的方法，通过混合效应模型联合建模相位和振幅函数。该方法表明，在评估振幅和相位函数时需要小心，特别是如果进行单独的分析，因为翘曲和振幅分量函数之间可能存在高度的相关性。
This discussion of the spike train data applies the approach of Hadjipantelis et al. developed for Linguistic data to jointly model both the phase and amplitude functions via a mixed effects model. The approach shows that care needs to be taken when assessing amplitude and phase functions, particularly if separate analysis is undertaken, as there can be high levels of correlation between the warping and amplitude component functions.