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.
https://www.youtube.com/watch?v=q-yypnHgCII
https://www.youtube.com/watch?v=5FAW27OAy44
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!