Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified
analysis of both accuracy and response times. This review provides an in-depth account of …

Computational modeling has become an important tool in neuroscience and psychiatry
research to provide insight into the cognitive processes underlying normal and pathological …

ABSTRACT We introduce DOSE-Dynamically Optimized Sequential Experimentation-and
use it to estimate individual-level loss aversion in a representative sample of the US …

In recent years interest in integrating the affective and decision sciences has skyrocketed.
Immense progress has been made, but the complexities of each field, which can multiply …

Loss-averse decisions, in which one avoids losses at the expense of gains, are highly
prevalent. However, the underlying mechanisms remain controversial. The prevailing …

In the past decade, decision neuroscience and neuroeconomics have developed many new
insights in the study of decision making. This review provides an overarching update on how …

People are often reluctant to trade, a reticence attributed to the endowment effect. The
prevailing account attributes the endowment effect to valuation-related bias, manifesting as …

Decision makers often reject mixed gambles offering equal probabilities of a larger gain and
a smaller loss. This important phenomenon, referred to as loss aversion, is typically …

Incentives are primary determinants of if and how well an organism will perform a given
behavior. Here, we examined how incentive valence and magnitude influence task …

When making decisions, people can be influenced by the context (or framing) of the
decisions in addition to the features of the choice options. It has recently been argued that …