Usage
generateStimuli2IFC(base_face_files, n_trials = 770, img_size = 512, stimulus_path = "./stimuli", label = "rcic", use_same_parameters = TRUE, seed = 1, maximize_baseimage_contrast = TRUE, noise_type = "sinusoid", nscales = 5, sigma = 25)
Arguments
base_face_files
List containing base face file names (jpegs) used as base images for stimuli
n_trials
Number specifying how many trials the task will have (function will generate two images for each trial per base image: original and inverted/negative noise)
img_size
Number specifying the number of pixels that the stimulus image will span horizontally and vertically (will be square, so only one integer needed)
stimulus_path
Path to save stimuli and .Rdata file to
label
Label to prepend to each file for your convenience
use_same_parameters
Boolean specifying whether for each base image, the same set of parameters is used, or unique set is created for each base image
seed
Integer seeding the random number generator (for reproducibility)
maximize_baseimage_contrast
Boolean specifying wheter the pixel values of the base image should be rescaled to maximize its contrast.
noise_type
String specifying noise pattern type (defaults to sinusoid; other options: gabor).
nscales
Integer specifying the number of incremental spatial scales. Defaults to 5. Higher numbers will add higher spatial frequency scales.
sigma
Number specifying the sigma of the Gabor patch if noise_type is set to gabor (defaults to 25)