Multiple neural population synchronization measure plays an important role in the interaction dynamics in brain. To understand the synchronization physiologically, this paper develops a multi-channel neural mass model (NMM) and used to generate multiple EEG signals, then a coherence and correlation matrix analysis (CMA) method was used to analyze the dynamic and synchronous characteristic of the new model. Results showed that the new model was able to generate complex EEG signals that range from delta band (1-4 Hz) to gamma band (30-70 Hz), and the coupling has a direct effect on the coherence and the global synchronization among coupled areas.
['Dong Cui', 'Xiaoli Li', 'Guanghua Gu']
Neural Mass Modeling for Multi-Channel EEG Synchronization Analyzing