Stephen A. Engel

The paper quantifies individual variability in the size and structure of visual areas V1, V2, and V3 across a large sample of human observers and examines twin similarities.

This study shows that visual mode switching, where perception adapts to environmental color changes, can be learned with daily exposure and applies broadly across stimuli.

This study shows deep learning improves BCI classification accuracy and information transfer rate using full scalp EEG data, benefiting users with lower initial performance.

This study uses fMRI to show that anomalous trichromats have reduced chromatic responses in early visual cortex but normal responses in later areas, indicating neural compensation for color deficiency.

The paper shows that the visual system can learn to rapidly switch to a previously adapted state in response to environmental changes, reducing the reddish appearance of the world after wearing tinted glasses.

This study shows that mindfulness-based stress reduction improves BCI performance by enhancing control over alpha band neural activity during intentional rest.