week8_session2.md

Recording

Week 8 session 2

Schedule and plan

• The project, deadlines, marking. We would like to review your projects by Friday 29 September.
• Feedback is via Github.

More background

• Consider the Dummy hypothesis exercise
• Matrix rank

Also see: a worked example of general linear model

• Whole image statistics
• optimizing space

More pages, exercises

• Moving image exercise
• Resampling with ndimage
• What extra transform exercise
• Spatial normalization (in Dipy)
• Where should these brain areas go?

What extra transform exercise walkthrough.

For your further instruction

• On zooms
• On rotations
• The image header and affine
• Images and affines
• On gradient descent optimization

That's it.

That's it for this session, and for the course. Thanks for joining.