Ralph Hertwig

Genomics of Educational Attainment Across 80 Years of Social and Political Transformation in Germany

The paper examines how polygenic indices for educational attainment change across birth cohorts and regions in Germany, finding stronger associations in recent cohorts and the East but weaker effects for women.

DfE-DB: A systematic database of 3.8 million human decisions across experience-based tasks

DfE-DB compiles 3.8 million human decisions across 168 studies to enable systematic comparison of decision-making patterns and design features.

Explicit memory representations in decisions from experience

The paper tests whether people use explicit memory of past outcomes in experience-based decisions, finding that ignoring specific outcomes changes preferences, suggesting reliance on episodic memory rather than incremental reinforcement.

An Updated Polygenic Index Repository: Expanded Phenotypes, New Cohorts, and Improved Causal Inference

The paper updates a polygenic index repository with more phenotypes, datasets, and improved causal inference methods, enhancing predictive performance and interpretability.

Differences in polygenic associations with educational attainment between West and East Germany before and after reunification

The paper finds stronger polygenic associations with educational attainment in East Germans after reunification compared to West Germans.

Neural variability compresses with increasing belief precision during Bayesian inference

The paper shows that neural variability decreases with higher belief precision during learning, using fMRI data from human participants.

Cohort Profile: Genetic data in the German Socio-Economic Panel Innovation Sample (Gene-SOEP)

The paper describes the Gene-SOEP dataset, a longitudinal genetic study of 2,598 individuals in Germany, providing polygenic indices for research on genetic-environment interactions.

EEG-representational geometries and psychometric distortions in approximate numerical judgment

The paper investigates whether neural representational geometries reflect behavioral underweighting of extreme values in numerical judgment tasks, finding enhanced processing of extremes but no evidence for neural compression.

Control over sampling boosts numerical evidence processing in human decisions from experience

The paper shows that having control over when to stop sampling improves decision accuracy, parietal decision signals, and EEG encoding of numerical information in human decisions from experience.