THE AUDITORY MODELING TOOLBOX

Applies to version: 1.6.0

View the code

Go to function

paulick2024_decision
Decision and probability detecting a signal

Usage:

Y = paulick2024_decision(mue, nAFC, rule);
[Y, prob] = paulick2024_decision(..);

Input parameters:

mue Correlation coefficient from paulick2024_corr.
nAFC Number of available choices in the simulated AFC task, must be 2, 3, or 4.
rule Two-entry vector containing reflecting the tracking rule in the adaptive procedure. The first entry defines the amount of steps when going up, the second scalar defines the amount of steps when going down, e.g., [1 2] defines a 1-up-2-down adaptive procedure.

Output parameters:

Y

Decision of the simulated subject:

  • 1: target detected.
  • 0: target not detected.
prob Probability used to obtain the decision Y.

References:

L. Paulick, H. Relaño-Iborra, and T. Dau. The Computational Auditory Signal Processing and Perception Model (CASP): A Revised Version. bioRxiv, 2024. [ DOI ]

Build with Bootstrap