generateStimuli2IFC: Generates 2IFC stimuli
In rcicr: Reverse-Correlation Image-Classification Toolbox

Description Usage Arguments Details Value

Generate stimuli for 2 images forced choice reverse correlation task.

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)

`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)

Will save the stimuli as jpeg's to a folder, including .Rdata file needed for analysis of data after data collection. This .Rdata file contains the parameters that were used to generate each stimulus.

Nothing, everything is saved to files.

rcicr documentation built on May 2, 2019, 5:24 p.m.