rcicr (version 1.3.0)

generateCINoise: Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid

Description

Generate classification image noise pattern based on set of stimuli (matrix: trials, parameters), responses (vector), and sinusoid

Usage

generateCINoise(stimuli, responses, p)

Value

The classification image as pixel matrix.

Arguments

stimuli

Matrix with one row per trial, each row containing the 4092 parameters for the original stimulus.

responses

Vector containing the response to each trial (1 if participant selected original, -1 if participant selected inverted; this can be changed into a scale).

p

3D patch matrix (generated using generateNoisePattern()).

Examples

p <- generateNoisePattern(img_size = 32, nscales = 1)
nparams <- max(p$patchIdx)

# two trials, one chosen original (1) and one inverted (-1)
stimuli <- matrix(runif(2 * nparams, -1, 1), nrow = 2)
responses <- c(1, -1)

ci <- generateCINoise(stimuli, responses, p)