Roi Reichart

This study uses fMRI to show that sentence boundaries during speech comprehension elicit a distinct neural response beyond speech properties, supporting active sentence segmentation.

This paper introduces Dementia Language Models (DeLMs) that generate patient-like narratives and predict cognitive impairment, validated by neurologists and MMSE scores.

This study compares how LLMs and the brain process narrative context, introducing an incremental LLM that better predicts DMN neural activity.

This paper uses fine-tuned deep language models to model differences in narrative interpretation based on listeners' perspectives, showing alignment with neural responses and cognitive networks.

In nine epilepsy patients, cortical activity carries next-word information up to 800 ms before onset, tracks GPT-2 surprise after onset, and fits GPT-2 contextual embeddings better than static ones.