In psychological experiments, researchers' primary interests often gravitate toward group-
level parameters, such as the mean difference between experimental conditions. However …

Current clinical evaluation, which focuses on central vision, could be improved through
characterization of residual vision with peripheral testing of visual acuity, contrast sensitivity …

Iconic memory is best assessed with the partial report procedure in which an array of letters
appears briefly on the screen and a poststimulus cue directs the observer to report the …

Recent advances in nonparametric Contrast Sensitivity Function (CSF) estimation have
yielded a new tradeoff between accuracy and efficiency not available to classical parametric …

Reading is a crucial visual activity and a fundamental skill in daily life. Rapid Serial Visual
Presentation (RSVP) is a text-presentation paradigm that has been extensively used in the …

Purpose Recently, we developed a novel active learning framework, qVFM, to map visual
functions in the visual field. The method has been implemented and validated in measuring …

Comparing models facilitates testing different hypotheses regarding the computational basis
of perception and action. Effective model comparison requires stimuli for which models …

The contrast sensitivity function that spans the two dimensions of contrast and spatial
frequency is crucial in predicting functional vision both in research and clinical applications …

Bayesian adaptive design is a powerful experimental design method that selects stimuli in
sequence in response to observations made during the course of an experiment. Bayesian …

Abstract Machine learning has the potential to facilitate the development of computational
methods that improve the measurement of cognitive and mental functioning. In three …