Whole-Volume Clustering of Time Series Data from Zebrafish Brain Calcium Images via Mixture Model-Based Functional Data Analysis

An increasing number of techniques are enabling visualization of neurological activity in animal models, generating large volumes of spatially correlated time series. A model-based functional data analysis technique for the clustering of such data is proposed and justified. An example analysis of a zebrafish imaging experiment is presented.