Psychometric functions (PFs) quantify how external stimuli affect behavior, and they play an
important role in building models of sensory and cognitive processes. Adaptive stimulus …

Recently in vision science there has been great interest in understanding the perceptual
representations of complex multidimensional stimuli. Therefore, it is becoming very …

A hierarchical Bayesian method is proposed that can be used to fit multiple psychometric
functions (PFs) simultaneously across conditions and subjects. The method incorporates the …

In their influential paper, Wichmann and Hill (2001) have shown that the threshold and slope
estimates of a psychometric function may be severely biased when it is assumed that the …

The majority of theoretical models of learning consider learning to be a continuous function
of experience. However, most perceptual learning studies use thresholds estimated by fitting …

Decision-making strategies evolve during training and can continue to vary even in well-
trained animals. However, studies of sensory decision-making tend to characterize behavior …

Behavioral data, despite being a common index of cognitive activity, is under scrutiny for
having poor reliability as a result of noise or lacking replications of reliable effects. Here, we …

Knowledge of an observer's psychometric function slope is potentially useful in clinical
visual psychophysics (for example, perimetry), however, the short test times necessary in a …

Maximum-likelihood estimation of the parameters of a psychometric function typically occurs
through an iterative search for the maximum value in the likelihood function defined across …

A subject's response to the strength of a stimulus is described by the psychometric function,
from which summary measures, such as a threshold or a slope, may be derived …