There is growing interest in diffusion models to represent the cognitive and neural processes
of speeded decision making. Sequential-sampling models like the diffusion model have a …

Improvements in measuring thresholds, or points on a psychometric function, have
advanced the field of psychophysics in the last 30 years. The arrival of laboratory computers …

The gradual and noisy accumulation of evidence is a fundamental component of decision-
making, with noise playing a key role as the source of variability and errors. However, the …

An adaptive psychometric procedure that places each trial at the current most probable
Bayesian estimate of threshold is described. The procedure takes advantage of the common …

We compared the ability of psychophysical observers and single cortical neurons to
discriminate weak motion signals in a stochastic visual display. All data were obtained from …

The psychometric function relates an observer's performance to an independent variable,
usually some physical quantity of a stimulus in a psychophysical task. This paper, together …

The variability of the discharge of visual cortical neurons in cats and macaque monkeys
limits the reliability with which such neurons can relay signals about weak visual stimuli. In …

To make a visual discrimination, the brain must extract relevant information from the retina,
represent appropriate variables in the visual cortex and read out this representation to …

Perceptual choices depend not only on the current sensory input but also on the behavioral
context, such as the history of one's own choices. Yet, it remains unknown how such history …

We have documented previously a close relationship between neuronal activity in the
middle temporal visual area (MT or V5) and behavioral judgments of motion (Newsome et …