Principles of fMRI Part 1, Module 17: Model Building I – conditions and contrasts
Principles of fMRI Part 1, Module 18: Model Building II – temporal basis sets
Principles of fMRI Part 1, Module 19: Model Building III- nuisance variables
Principles of fMRI Part 1, Module 1: Introduction to fMRI
Principles of fMRI Part 1, Module 16: GLM applied to fMRI
Principles of fMRI Part 1, Module 13: Pre-processing I
Principles of fMRI Part 1, Module 2: Analysis of fMRI Data
Principles of fMRI Part 1, Module 14: Pre-processing II
Principles of fMRI Part 1 Module 15: The General Linear Model - Intro
Principles of fMRI Part 1, Module 15: The General Linear Model- Intro
Principles of fMRI Part 1, Module 21: Noise Models- AR models
Principles of fMRI Part 1, Module 26: Multiple Comparisons
Principles of fMRI Part 1, Module 11: Experimental Design I – Psychological principles
Principles of fMRI Part 1, Module 22: Inference- Contrasts and t-tests
Principles of fMRI Part 1, Module 12a: Experimental Design II – Kinds of designs
Principles of fMRI Part 1, Module 20: GLM Estimation
Principles fMRI Part 1, Module 4: Psychological Questions and Inference
Principles of fMRI Part 1, Module 9: fMRI Artifacts and Noise
Principles of fMRI Part 1, Module 29: More about multiple comparisons
Principles of fMRI Part 1, Module 23: Group-level Analysis I
