Nonlinear Time Series Analysis of Coupled Bursting Neuron Model Depending on Coupling Strength

Abstract

It is well known that burst patterns within neurons may have some important role for operating information processing in a brain. However, the analysis of judgement of synchronization and correlation between burst patterns is not so easy. Therefore, we have proposed a visualization method of bursting patterns of whole neural network using nonlinear time series analysis. Additionally, we consider that it is required to construct a model using mathematical neuron model producing burst patterns, because it is difficult to obtain real biological neuron data. In this study, we propose a visualization method of network characteristics of FitzHu-Nagumo (FHN) neuron model using nonlinear time-series analysis.