Reverse correlation using linear regression and compressed sensing for uncovering the psychoacoustic tinnitus spectrum

Python modules for applying the Gaussian 'Bubbles' mask to image stimuli.

step-by-step walkthrough of reverse correlation via logistic regression

Reconstruct high-dimensional spectral representations of tinnitus using reverse correlation

step-by-step walkthrough of model fitting via least squares and staircase validation via negative log likelihood in MATLAB

Data and analysis source code (Python) for Aynaz Adl Zarrabi et al. _A simple psychophysical procedure separates representational and noise components in impairments of speech prosody perception after right-hemisphere stroke_, Scientific Reports 2024.

latent model for reverse correlation experiment via bayesian opimization

source code for psychophysical procedure separates representational and noise components in glioma patients(pre-post operation)