Institute of Cognitive Neuroscience and Psychology

Diagnostic Accuracy of PID‐5‐BF for Screening Personality Disorders: A Cross‐Sectional Study in Clinical and Nonclinical Samples

ABSTRACT The DSM‐5 Alternative Model for Personality Disorders introduced a dimensional approach to personality pathology, with maladaptive traits assessed by the Personality Inventory for DSM‐5 Brief Form (PID‐5‐BF). Despite extensive validation, evidence on its diagnostic accur...

Coupling between statistical learning and interference suppression

Abstract In an ever-changing environment, synchronizing automatic and controlled behaviors is essential for successful adaptation. Yet, the relationship between these behaviors is often debated, partly because of the diverse approaches used to investigate them. The present study...

Longitudinal evidence for decreasing statistical learning abilities across childhood

Abstract Statistical learning enables us to identify patterns in our environment and predict future events, thereby supporting a range of motor, cognitive, and linguistic skills. Despite its significance, the developmental trajectory of statistical learning has remained unclear d...

How Norms Depend on the Presence and Status of Observers: The Relational Contingency of Everyday Behaviors in 90 Societies

Norms are fundamental to social life, but basic questions about how they are affected by social context remain. Specifically, how do normative constraints depend on the presence and status of observers, and how do such relational contingencies vary across cultures? Using data fro...

Meta-Analysis of Face-Validity Indicators in Automatically Detected Dog Sleep Spindles

Abstract Visual inspection as the golden standard for sleep spindle detection has received mixed support and may not be equally viable across species and experimental conditions. Here we propose a novel intermediate strategy for approximating the quality of a detector and subject...

No gender differences in predictive processing

Abstract Statistical learning, defined as the implicit extraction of environmental regularities, is considered a fundamental cognitive mechanism that supports predictive processing across individuals, domains, and species. However, whether it is modulated by gender remains unclea...