Classification images have recently become a widely used tool in visual psychophysics.
Here, I review the development of classification image methods over the past fifteen years. I …

With the introduction of the psychophysical method of reverse correlation, a holy grail of
social psychology appears to be within reach–visualising mental representations. Reverse …

Humans are remarkably adept at recognizing objects across a wide range of views. A
notable exception to this general rule is that turning a face upside down makes it particularly …

The ModelFest data set was created to provide a public source of data to test and calibrate
models of foveal spatial contrast detection. It consists of contrast thresholds for 43 foveal …

Many of the commonly used methods for modeling and fitting psychophysical data are
special cases of statistical procedures of great power and generality, notably the …

When we look at a face, we readily perceive that person's gender, expression, identity, age,
and attractiveness. Perceivers as well as scientists have hitherto had little success in …

In any given perceptual task, the visual system selectively weighs or filters incoming
information. The particular set of weights or filters form a kind of template, which reveals the …

Despite an obvious demand for a variety of statistical tests adapted to classification images,
few have been proposed. We argue that two statistical tests based on random field theory …

For the linear discrimination of two stimuli in white Gaussian noise in the presence of
internal noise, a method is described for estimating linear classification weights from the …

Human visual performance for basic visual dimensions (eg, contrast sensitivity and acuity)
peaks at the fovea and decreases with eccentricity. The eccentricity effect is related to the …