Sequential sampling models assume that people make speeded decisions by gradually
accumulating noisy information until a threshold of evidence is reached. In cognitive …

Abstract Stochastic diffusion models (Ratcliff, 1978) can be used to analyze response time
data from binary decision tasks. They provide detailed information about cognitive …

It takes effort and time to tame one's impulses. Although medial prefrontal cortex (mPFC) is
broadly implicated in effortful control over behavior, the subthalamic nucleus (STN) is …

Abstract [Correction Notice: An erratum for this article was reported in Vol 118 (1) of
Psychological Review (see record 2011-00732-004). The name of the philosopher Charles …

Acting in accord with long-term goals requires control of interfering impulses, the success of
which depends on several different processes. Using a structural-equation modeling …

Drawing on the adaptive control hypothesis (Green & Abutalebi, 2013), we investigated
whether bilinguals' disparate interactional contexts modulate task-switching performance …

Diffusion models can be used to infer cognitive processes involved in fast binary decision
tasks. The model assumes that information is accumulated continuously until one of two …

In the present article, a flexible and fast computer program, called fast-dm, for diffusion
model data analysis is introduced. Fast-dm is free software that can be downloaded from the …

In this review we summarize findings published over the past 10 years focusing on the
neural correlates of perceptual decision-making. Importantly, this review highlights only …

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