Mar 26, 2011 · Multi-channel neural signals generated by a computational model can help understand the mechanism of EEG rhythms, analyze brain functional ...
Multi-channel neural signals generated by a computational model can help understand the mechanism of EEG rhythms, analyze brain functional connectivity and ...
Multi-channel neural signals generated by a computational model can help understand the mechanism of EEG rhythms, analyze brain functional connectivity and ...
Abstract Multi-channel neural signals generated by a computational model can help understand the mecha- nism of EEG rhythms, analyze brain functional ...
To understand the synchronization physiologically, this paper develops a multi-channel neural mass model (NMM) and used to generate multiple EEG signals, then a ...
Abstract Multi-channel neural signals generated by a computational model can help understand the mecha- nism of EEG rhythms, analyze brain functional ...
The simulation results show that the proposed model can generate neural signals with various frequency bands,from delta wave (1-4 Hz) to gamma wave (30-70 Hz), ...
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What is a neural mass model?
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A multi-channel neural mass model (NMM) is developed and used to generate multiple EEG signals, then a coherence and correlation matrix analysis method was ...
Multiple neural population synchronization measure plays an important role in the interaction dynamics in brain. To understand the synchronization.
Oct 25, 2011 · Multi-channel recording is now a widely used tool in neuroscience research that makes it possible to study the activity of neuron population ...
Missing: mass analyzing.