Sebastian P. H. Speer

This study uses fMRI hyperscanning to show overlapping neural networks for speech production and comprehension during real-time conversations, extending beyond the language network into social cognition areas.

This study uses fMRI hyperscanning and NLP to show that compromise-driven conversations with more exploration lead to greater agreement compared to persuasive conversations.

The paper develops a Brain Reward Signature (BRS) using a LASSO-PCR model to predict reward and loss processing from brain activity, achieving high decoding accuracy across multiple tasks and samples.

This study predicts cheating behavior using brain connectivity patterns and finds that neural networks related to self-referential thinking and control are key predictors of honesty.

The paper investigates how cognitive control influences honesty and dishonesty by examining neural activity in specific brain regions during a cheating task.

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.