It is important to identify sources of variability in processing to understand decision-making
in perception and cognition. There is a distinction between internal and external variability in …

The dominant theoretical framework for decision making asserts that people make decisions
by integrating noisy evidence to a threshold. It has recently been shown that in many …

We introduce a new approach to modelling decision confidence, with the aim of enabling
computationally cheap predictions while taking into account, and thereby exploiting, trial-by …

Perceptual decision making can be described as a process of accumulating evidence to a
bound which has been formalized within drift-diffusion models (DDMs). Recently, an …

Perceptual decision-making frequently requires making rapid, reliable choices upon
encountering noisy sensory inputs. To better define the statistical processes underlying …

Much work has explored the possibility that the drift diffusion model, a model of response
times and choices, could be extended to account for confidence reports. Many methods for …

The optimal way to make decisions in many circumstances is to track the difference in
evidence collected in favour of the options. The drift diffusion model (DDM) implements this …

In the study of perceptual decision making, it has been widely assumed that random
fluctuations of motion stimuli are irrelevant for a participant's choice. Recently, evidence was …

In perceptual decision making the brain extracts and accumulates decision evidence from a
stimulus over time and eventually makes a decision based on the accumulated evidence …

The aim of a number of psychophysics tasks is to uncover how mammals make decisions in
a world that is in flux. Here we examine the characteristics of ideal and near–ideal observers …