Making effective decisions during approach-avoidance conflict is critical in daily life.
Aberrant decision-making during approach-avoidance conflict is evident in a range of …

While decision theories have evolved over the past five decades, their focus has largely
been on choices among a limited number of discrete options, even though many real-world …

Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …

Decisions are made with different degrees of consistency, and this consistency can be
linked to the confidence that the best choice has been made. Theoretical work suggests that …

Objective We aim to bridge the gap between naturalistic studies of driver behavior and
modern cognitive and neuroscientific accounts of decision making by modeling the cognitive …

Decisions are often made by accumulating ambiguous evidence over time. The brain's
arousal systems are activated during such decisions. In previous work in humans, we found …

Inferring parameters of computational models that capture experimental data is a central
task in cognitive neuroscience. Bayesian statistical inference methods usually require the …

Recent experiments have found that prompting people to think about accuracy reduces
misinformation sharing intentions. The process by which this effect operates, however …

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

Human behavior and interaction in road traffic is highly complex, with many open scientific
questions of high applied importance, not least in relation to recent development efforts …