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

Abstract The diffusion model (Ratcliff, Psychol Rev 85 (2): 59–108, 1978) is a stochastic
model that is applied to response time (RT) data from binary decision tasks. The model is …

If the diffusion model (Ratcliff & McKoon, 2008) is to account for the relative speeds of correct
responses and errors, it is necessary that the components of processing identified by the …

Abstract The diffusion model (Ratcliff, 1978) allows for the statistical separation of different
components of a speeded binary decision process (decision threshold, bias, information …

The diffusion decision model allows detailed explanations of behavior in two-choice
discrimination tasks. In this article, the model is reviewed to show how it translates …

The diffusion model () and the leaky competing accumulator model (LCA,) were tested
against two-choice data collected from the same subjects with the standard response time …

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 …

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 …

Sequential sampling models provide an alternative to traditional analyses of reaction times
and accuracy in two-choice tasks. These models are reviewed with particular focus on the …

The diffusion model (Ratcliff,) takes into account the reaction time distributions of both
correct and erroneous responses from binary decision tasks. This high degree of information …