A Study Of Neural Mass Model Based On Double Coupled Areas With Double Dynamic

The analysis and modeling of coupled double areas EEG signals can help to reveal the coordination and transfer functions between the different areas of the brain, having the important significance for understanding the relationship between the brain’s neural areas, and to better further study the communication between regions. Therefore, this thesis is to research EEG signals based on the model of coupling dual areas and dual dynamic NMM, and spectrum analysis, entropy analysis method.Fist of all, the paper introduces the basic neural mass model. The Jansen model and its dynamic development can help to gradually understand the basic principle of the model of NMM. We show the effects of various parameters on simulated signals of single NMM, and comprehend basic meaning and role of various physiological parameters. Then a fast inhibitory feedback loop is added to NMM and become the fast inhibitory NMM model, the model can generate high frequency oscillation.Secondly, the model of coupling dual areas and dual dynamic neural populations is made up of the two basic single channel models interconnected by weight coefficients and coupling relation. The simulated signals frequency of the model is rich, and with the coupling directions change between the different channel and the same channel, the output signals present bimodal and unimodal at the frequency domain. Through adjusting the weight coefficients of areas and the coupling parameters between areas, the model can generate the rule EEG signals. In addition, the coupling coefficient and propagation delay have some impacts on frequency peak of simulation signal under the same areas.Finally, by using the permutation entropy algorithm, we analyses the relationship between neuron model parameters with simulated signals, further validation of excitatory and inhibitory synaptic gain on modeling and simulation of impact.