Day 13

Lesson plan

  • An outline of where we’re going:

    • we have tried to find “activation” by subtracting task from rest;
    • we have used correlation with the on-off time-course;
    • we will try a more sophisticated regressor using convolution;
    • then, detection of activation by multiple regression.
  • Collaborative git workflow;

  • The Python module search path:

    import sys
  • Using and array reshaping: Correlation per voxel, the faster way;

  • A better regressor using convolution — Convolving with the hemodyamic response function.


Please read the Introduction to the general linear model.