Sequential sampling models have provided a dominant theoretical framework guiding
computational and neurophysiological investigations of perceptual decision-making. While …

The marriage of cognitive neurophysiology and mathematical psychology to understand
decision-making has been exceptionally productive. This interdisciplinary area is based on …

The drift-diffusion model (DDM) is an important decision-making model in cognitive
neuroscience. However, innovations in model form have been limited by methodological …

In cognitive neuroscience, computational modeling can formally adjudicate between
theories and affords quantitative fits to behavioral/brain data. Pragmatically, however, the …

To optimally balance opposing demands of speed and accuracy during decision-making, we
must flexibly adapt how much evidence we require before making a choice. Such …

The time available to inform decisions is often limited, for example because of a response
deadline. In such circumstances, accurate knowledge of the amount of time available for a …

Diffusion models of evidence accumulation have successfully accounted for the distributions
of response times and choice probabilities from many experimental tasks, but recently their …

Traditional models of choice-response time assume that sensory evidence accumulates for
choice alternatives until a threshold amount of evidence has been obtained. Although some …

Nearly all animals forage to acquire energy for survival through efficient search and
resource harvesting. Patch exploitation is a canonical foraging behaviour, but there is a …

Over the last decade, there has been a robust debate in decision neuroscience and
psychology about what mechanism governs the time course of decision-making. Historically …