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Modelling Abnormal Beliefs

This is a tutorial on designing a Bayesian inference model to map belief trajectories, with emphasis on gaining familiarity with Hierarchical Gaussian Filters (HGFs).


This lesson corresponds to slides 65-90 of the PDF below. 

Topics covered in this lesson
  • Hierarchical Guassian Filter (HGF)
  • Bayesian statistics and modelling
  • Experimental design
Technology requirement

Coding language: MATLAB (more setup info)