Fatma Deniz

This study investigates how semantic information is represented in the brains of bilinguals, finding shared representations between languages with some language-specific differences.

This study investigates how semantic relations and concepts are represented in the human cerebral cortex using fMRI, finding that relations are distinct from their relata and share similar cortical regions with concepts.

The paper examines how concreteness influences semantic representations in bilingual brains using fMRI data from Chinese-English speakers, finding consistent cortical organization and cross-language similarity for both concrete and abstract concepts.

This study shows optimizing language model embeddings for individual brain voxels improves prediction accuracy of brain activity during reading.

This study compares transformers and CNNs in predicting brain age using MRI data, finding they perform similarly and represent different concepts of brain aging.

This paper fine-tunes language models with bilingual brain data to improve multilingual understanding, showing better performance in brain encoding and NLP tasks across multiple languages.

The paper examines whether language timescale representations in the brain are shared between reading and listening using fMRI data.

This study shows that context significantly affects the quality of neuroimaging data and the representation of semantic information in the brain during language comprehension.

The paper shows that attention weights from language models accurately predict brain responses in frontal and temporal cortices during language processing.