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

Trained monkeys performed a two-choice perceptual decision-making task in which they
reported the perceived orientation of a dynamic Glass pattern, before and after unilateral …

Magnitude-sensitivity refers to the result that performance in decision-making, across
domains and organisms, is affected by the total value of the possible alternatives. This …

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

Many tasks used to study decision-making encourage subjects to integrate evidence over
time. Such tasks are useful to understand how the brain operates on multiple samples of …

Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …

Evidence accumulations models (EAMs) have become the dominant modeling framework
within rapid decision-making, using choice response time distributions to make inferences …

Understanding the cognitive processes involved in multi-alternative, multi-attribute choice is
of interest to a wide range of fields including psychology, neuroscience, and economics …

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 …

Theories of perceptual decision making have been dominated by the idea that evidence
accumulates in favor of different alternatives until some fixed threshold amount is reached …