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 …

Sequential sampling models assume that people make speeded decisions by gradually
accumulating noisy information until a threshold of evidence is reached. In cognitive …

Abstract Stochastic diffusion models (Ratcliff, 1978) can be used to analyze response time
data from binary decision tasks. They provide detailed information about cognitive …

Methods of fitting the diffusion model were examined with a focus on what the model can tell
us about individual differences. Diffusion model parameters were obtained from the fits to …

Competing theories of dyslexia posit that reading difficulties arise from impaired visual,
auditory, phonological, or statistical learning mechanisms. Importantly, many theories posit …

Diffusion models for simple two-choice decision making have achieved prominence in
psychology and neuroscience. The standard model views decision making as a process in …

The diffusion decision model (Ratcliff, 1978) was used to examine discrimination for a range
of perceptual tasks: numerosity discrimination, number discrimination, brightness …

While decision theories have evolved over the past five decades, their focus has largely
been on choices among a limited number of discrete options, even though many real-world …

Optimality studies and studies of decision-making in monkeys have been used to support a
model in which the decision boundaries used to evaluate evidence collapse over time. This …

Computational models, in conjunction with (neuro) cognitive tests, are increasingly used to
understand the cognitive characteristics of participants with attention-deficit/hyperactivity …