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Modelling Abnormal Beliefs
Course:
Bayesian Models of Learning and Integration of Neuroimaging Data

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. 

Difficulty level: Intermediate
Duration: 1:15:04
Speaker: : Daniel Hauke
Generating Simulated Data Using EBRAINS
Course:
Enabling Multi-Scale Data Integration: Turning Data to Knowledge

This lesson provides a hands-on tutorial for generating simulated brain data within the EBRAINS ecosystem. 

Difficulty level: Beginner
Duration: 32:58
Speaker: : Jil Meier