CARAT
Time Period: Fall 2017 - Spring 2018
Languages Used: Python, Shell
CARAT is a study looking at the neural bases of facial emotion perception, led by Ross Buck.
I created a processing pipeline for functional neuroimaging data, including image processing using AFNI, data reshaping and cleaning in Python, and batch processing with shell scripting.
Output
You can view code and extensive documentation for this project on Github.