Computational Modeling Applied to the Dot-Probe Task Yields Improved Reliability and Mechanistic Insights

摘要

BACKGROUND: Biased patterns of attention are implicated as key mechanisms across many forms of psychopathology and have given rise to automated mechanistic interventions designed to modify such attentional preferences. However, progress is substantially hindered by limitations in widely used methods to quantify attention, bias leading to imprecision of measurement.