Lynn Schmittwilken

This paper introduces HOPE, a method for efficiently estimating high-dimensional psychometric functions by adaptively selecting stimuli, reducing uncertainty faster than traditional methods.

This paper develops a high-resolution method to map foveal vision by combining eye-tracking and gaze-contingent display control, revealing individual variability in foveal sensitivity.

This paper introduces a spatiotemporal model of human edge detection that incorporates fixational eye movements and demonstrates robust edge detection without orientation-selective mechanisms.

The paper shows that Capsule Neural Networks (CapsNets) with recurrent grouping and segmentation outperform feedforward and standard recurrent CNNs in modeling human global shape processing using visual crowding.