Biostatistics Commons^™

Modeling Heterogeneity And Dependence For Analysis Of Neuronal Data, Xiao-Feng Wang, Jiayang Sun, Kenneth J. Gustafson, Guang H. Yue

Xiaofeng Wang

In this paper, we describe two types of neuroscience problems which challenge the typical statistical models assumed for analyzing neuronal data. This offers an opportunity for new modeling and statistical inference. In the first problem, the data are spatial neural counts which are often over-dispersed and spatially correlated so that a standard Poisson regression model is inadequate. In the second problem, the data are averaged electroencephalograph signals recorded during muscle fatigue, where a time series AR(1) regression model cannot fully capture all the variation and correlation structure in the data. It is shown that an additional parameter has to be …