DCM-course

This here is a set of notes for the DCM course running at the Brain and Mental health Lab at Monash University, Victoria Australia.

This will be a ~6 part series where we will go through all the basics of modelling (specifically picking out parts that we need) then to describe:

• deterministic DCM
• stochastic DCM
• spectral DCM

To go through stochastic DCM we need a SDE solver, I suggest using: https://github.com/horchler/SDETools.git download this before you start IV

Following this material we will describe applications, apply it to some real world data and talk about real world experiences.

Videos of the lectures/workshop:

DCM I: Introduction to modelling and differential equations

https://www.youtube.com/watch?v=q-yypnHgCII

DCM II: The Bilinear model

https://www.youtube.com/watch?v=5FAW27OAy44

DCM III: The linear approximation and the hemodynamic observation model

https://www.youtube.com/watch?v=UUk5jg0IT4Y

DCM IV: Toward spectral singatures of activity: Stochastic DCM, Convolutions and the Fourier Transform.

https://www.youtube.com/watch?v=VG8eHSvdYfs

enjoy!