Штыров Юрий Юрьевич

This paper simulates semantic dementia in a brain-constrained model to explain language impairments and predict category-specific effects of the disease.

This study uses MEG and machine learning to classify intertrial phase coherence in language processing across age, finding significant differences in neural circuits across frequency bands and processing types.

The paper investigates how extralinguistic gender cues affect neural sentence processing using ERP data from Russian pronoun-verb phrases.

The paper shows that the left anterior temporal lobe is essential for efficient processing of spoken word identity, with semantic dementia patients showing increased right hemisphere activity in response to ambiguous words.

This study uses ERP to examine how working memory load affects neural activity during simultaneous interpreting, finding that N1 amplitude varies with load but not interpretation direction.