The aims of this lesson are:
- show solution / approach for retro-fitting
sliceview()program (last time) - load in a text file that represents the design matrix
X(as made by fsl/FEAT) - load in 4d image (nifti) and select out a particular voxel's timecourse
- write the code that will to the linear regression
- (if time / for after class) look at how t-stat can be calculated, given residuals, design matrix and contrast vector.
We will be working on a script.
Look at the files and exercises in the matlab_timeseries folder.