Gabors

Repository for gabor filter setup. I used this to create gabor filters and parse subject data for my thesis on the Hermann Grid Illusion, Spring 2018.

• parsed_data/ is in the format (image left, image right) : -5 to 5 (with negative numbers meaning image on right is stronger, positive meaning image on left is stronger)

• parsed_avg/averages.txt is in the format (image number : average strength)

Functions:

• results_parser.py takes the raw data and creates individual subject files (stored within parsed data/)

• parse_avg.py creates the averages.txt file from the parsed_data/ directory.

• gabor_final.py creates a series of gabor filters (https://en.wikipedia.org/wiki/Gabor_filter). Gabor filters are used as a proxy for simple V1 receptive fields. This code was adapted from David Mely, Serre Lab.