Neural Masses as Source Models for EEG and MEG
Neural Masses as Source Models for EEG and MEG
This lesson explains the mathematics of neural mass models and their integration to a coupled network. You will also learn about bifurcation analysis, an important technique in the understanding of non-linear systems and as a fundamental method in the design of brain simulations. Lastly, the application of the described mathematics is demonstrated in the exploration of brain stimulation regimes.
Topics covered in this lesson
- Mathematical description of neural masses
- Transfer functions in local brain dynamics
- Mathematical implementation of structural connectivity
- The Jansen-Rit model
- Bifurcation analysis
- Equilibrium manifolds
- Dynamics of brain stimulation
External Links
Prerequisites
Basic knowledge in neural signal processing
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