Practice and theory of brain imaging

About
Calendar
Schedule
Staff
Week 1 session 1: Introduction and tools
Week 1 session 2: Files, Numpy, and notebook exercises
Week 2 session 1: Arrays, images and plotting
Week 2 session 2: Three dimensional arrays
Week 3 session 1: Command line, modules and functions; FMRI artifacts
Week 3 session 2: Modules, functions, Git, Github
Week 4 session 1: Indexing and four dimensions
Week 4 session 2: Github workflow; more on modules
Week 5 session 1: Github walkthrough; modules and testing
Week 5 session 2: The project; modules and testing
Week 6 session 1: DVARs, testing, voxel statistics
Week 6 session 2: Voxel statistics and the HRF
Week 7 session 1: Testing, regression
Week 7 session 2: Statistics, continued
Week 8 session 1: The General Linear Model, multiple voxels
Week 8 session 2: Whole image statistics; introduction to spatial processing

This site uses Just the Docs, a documentation theme for Jekyll.

Week 8 session 1: The General Linear Model, multiple voxels

Recording

Week 8 session 2 recording

Schedule and plan

The General Linear Model - part 2
On dummies exercise
Test one voxel
Multi-voxel estimation
Multi-model exercise

See also (for reference):

Non-integer TR onsets.
On correlated regressors
Bonferroni threshold.
False Discovery Rate
Random field correction.

Spatial processing

slice timing
slice timing exercise

Homework

Work on your projects.