Drift-diffusion models (DDMs) are pivotal in understanding evidence-accumulation
processes during decision-making across psychology, behavioral economics, neuroscience …

The measurement of individual differences in specific cognitive functions has been an
important area of study for decades. Often the goal of such studies is to determine whether …

This article focuses on the key influencing factors and prediction accuracy of diabetes. Nine
test indexes were mainly considered: low density lipoprotein, triglyceride, total cholesterol …

During long-term geological tectonic processes, multiple fractures are often developed in the
rock mass of high-level radioactive waste disposal sites, which provide channels for release …

Behavioral parameters obtained from cognitive control tasks have been linked to
electrophysiological markers. Yet, most previous research has investigated only a few …

In a simulation study, Stafford et al.(Behavior Research Methods, 52, 2142–2155,) explored
the effect of sample size on detecting group differences in ability in the presence of speed …

Evidence accumulation models (EAMs) are an important class of cognitive models used to
analyze both response time and response choice data recorded from decision-making tasks …

During long-term geological tectonic processes, multiple fractures of variable sizes often
develop in high-level radioactive waste disposal site rock masses (Li et al., 2014). The …

Mathematical modeling is increasingly driving progress in clinical cognitive science and
assessment. Mathematical modeling is essential for detecting certain effects of …

dc. description. abstract The thesis develops efficient Bayesian estimation methods for
Evidence Accumulation Models (EAMs), an important class of Cognitive Science models …