Arash Akbarinia

An ecological origin of the asymmetry of human color discrimination: evidence from psychophysics, MEG, and deep neural networks

The paper shows human color discrimination asymmetry arises from ecological color statistics, supported by psychophysics, MEG, and deep neural networks.

Human gloss perception reproduced by tiny neural networks

This paper shows that tiny neural networks can accurately replicate human gloss perception judgments better than larger networks estimating physical reflectance.

The footprint of colour in EEG signal

This paper decodes colour from EEG signals during natural vision using a neural network and shows that colour information is robustly represented even without semantic guidance.

Color and gloss constancy under diverse lighting environments

This study measures how well participants can judge color and gloss of objects under different lighting conditions, finding high accuracy in hue but poor performance in chroma, lightness, and gloss.