Carsten Murawski

When word order matters: human brains represent sentence meaning differently from large language models

This study compares how human brains and large language models represent sentence meaning, finding that transformers poorly match brain representations despite capturing some structural aspects.

Whom Do We Prefer to Learn From in Observational Reinforcement Learning?

This study investigates preferences in observational learning, finding that participants prefer low-noise individuals and that learning styles influence partner selection in social learning.

The neural dynamics associated with computational complexity

This study investigates how computational complexity affects neural processes during problem-solving using fMRI.

Monetary feedback modulates performance and electrophysiological indices of belief updating in reward learning

This study examines how monetary feedback affects belief updating in reward learning, finding faster learning and distinct electrophysiological responses compared to non-monetary feedback.

Hard decisions shape the neural coding of preferences

This study shows that preferences change during decision-making, with neural activity and eye-tracking predicting these changes and their behavioral relevance at re-evaluation.

The neural encoding of information prediction errors during non-instrumental information seeking

The paper investigates how the brain encodes information prediction errors during non-instrumental information seeking using EEG recordings from human participants.