Denis G. Pelli

The paper investigates how the ventral stream processes natural images with noise, finding that recognition bandwidth is conserved but noise tolerance increases along the stream.

EasyEyes introduces a crowded dynamic fixation task to improve gaze accuracy in online psychophysics testing, reducing peeking and implausible low thresholds.

The paper measures crowding distance and V4 map size in humans to find that V4 size predicts the spacing limit of visual perception.

This paper validates the Bouma law across 50 observers, showing it explains 82-94% of crowding distance variance, with additional factors revealing asymmetries and proposing a standardized Bouma factor b for cross-study comparisons.

EasyEyes enables accurate fixation for online vision testing without gaze tracking, showing consistent crowding thresholds across lab and online settings.

This study assesses the reproducibility of retinotopic maps across two fMRI datasets, finding consistent pRF properties despite differences in experimental protocols.

The paper compares susceptibility to auditory informational masking and visual crowding in the same participants, finding a negative correlation between the two.

This paper reviews the use of machine learning, particularly deep learning, in biological vision research, discussing its applications, limitations, and future directions.