Using random matrix theory to understand SA-node calcium signalling data

Abstract

In a recent work, using a novel experimental setup, calcium signalling was recorded in high resolution as a video from the entire mouse sinoatrial node. Calcium signals were found to be markedly heterogenous in their space/time properties. In this work we apply random matrix theory to separate spatial signal correlations from noise in calcium imaging video data from whole sinoatrial node. In other systems featuring heterogenous signals such as beta-cell collectives and financial markets, random matrix theory methods have been used to establish quantitative properties of signal correlations such as the collective response to stimulus vs.