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;

  • Review of pearson_solutions.py.

• The Python module search path:

  import sys
  sys.path.append('/path/containing/modules')
  

• Using pearson.py and array reshaping: Correlation per voxel, the faster way;

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

Homework

Please read the Introduction to the general linear model.