Brian A. Wandell

TL;DR: This paper reviews the sensor correlation algorithm for illuminant classification and discusses four changes that improve the algorithm's estimation accuracy and broaden its applicability, and develops the three-dimensional classification algorithms using all three-color channels.

TL;DR: This result suggests that the reduced apparent speed of low contrast targets and certain colored targets is caused by a common cortical mechanism, and the cone contrast levels that equate perceived speed differ substantially from those that equate visibility.

TL;DR: An introduction to measurements and methods to study the human visual white matter using diffusion MRI and a range of findings from recent studies on connections between different visual field maps, the effects of visual impairment on the white matter, and the properties underlying networks that process visual information supporting visual face recognition are reviewed.

TL;DR: The most likely hypothesis is that in healthy human subjects melanopsin absorptions influence visibility, and a series of hypotheses are considered to explain the tetrasensitivity at high photopic levels in the human peripheral field.

TL;DR: This work evaluates how well three different parametric shapes, ellipsoids, rectangles, and parallelograms, serve as models of three-dimensional detection contours and describes how the procedures for deriving the best-fitting shapes constrain inferences about the theoretical visual detection mechanisms.