Computational & Systems
Turner Institute for Brain and Mental Health
Monash Biomedical Imaging
Monash University, Melbourne, Australia
1) Basics of MRI
These YouTube videos from Paul Callaghan are great!
Statistical Inference and Dynamical Systems
i. Cristopher Bishop book on Pattern Recognition and Machine Learning is a great place to start and it is free to download.
iii. This review paper on variational inference is a must read for anyone interested in the topic. It has several references which can be really handy to build basic concepts and then go towards more advanced topics.
iv. Will Penny's course slides on Bayesian Inference and Dynamical Systems are one of the best if you are to go towards Dynamic Causal Modelling. All of his lecture slides, available on his website, are worth going through.
i. SPM course website has powerpoint slides from previous year courses which are very useful to go through. It also lists video recordings of course material (end of the page) which may be especially handy
ii. Methods for Dummies: This is an introductory course which runs at FIL, for those starting afresh in neuroimaging
iii. SPM wikipages provide information on various topics in SPM; it is maintained by international SPM community
iv. SPM book. The latest version (3rd Edition) is for purchase but you can find earlier editions free as pdf.
v. SPM manual is always handy, isnít it?
SPM email list archives are an enormous resource, hardly anything
not being asked there!
ii. The beginnings in 2003: DCM for functional MRI
iii. Stefan Kiebelís review paper on DCM extensions to EEG and MEG
iv. The first paper that introduced DCM for resting state fMRI i.e. the spectral DCM
We revisited DCM recently.
5) Active Inference and Free Energy Principle
Note: I am not linking initial formulations of FEP as they are outdated.
iii. This monograph is the most comprehensive treatment of the free energy principle to date.
iv. Thomas Parr webpage has a lot of useful resources.