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Neural Masses as Source Models for EEG and MEG

Difficulty level

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

Basic knowledge in neural signal processing