Computational modeling is now ubiquitous in psychology, and researchers who are not
modelers may find it increasingly difficult to follow the theoretical developments in their field …

Response inhibition is an important act of control in many domains of psychology and
neuroscience. It is often studied in a stop-signal task that requires subjects to inhibit an …

For nearly 50 years, the dominant account of decision-making holds that noisy information is
accumulated until a fixed threshold is crossed. This account has been tested extensively …

Action-stopping is a canonical executive function thought to involve top-down control over
the motor system. Here we aimed to validate this stopping system using high temporal …

Intelligent agents balance speed of responding with accuracy of deciding. Stochastic
accumulator models commonly explain this speed-accuracy tradeoff by strategic adjustment …

Recent work has suggested that the prefrontal cortex (PFC) plays a key role in context-
dependent perceptual decision-making. In this study, we addressed that role using a new …

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

Lateral intraparietal (LIP) neurons represent formation of perceptual decisions involving eye
movements. In circuit models for these decisions, neural ensembles that encode actions …

Our understanding of cognition has been advanced by two traditionally non-overlapping and
non-interacting groups. Mathematical psychologists rely on behavioral data to evaluate …

According to Bayesian theories in psychology and neuroscience, minds and brains are
(near) optimal in solving a wide range of tasks. We challenge this view and argue that more …