Işıl Uluç

The paper uses MEG data and a machine learning approach to investigate causal connectivity between inferior frontal gyrus and temporal areas during semantic prediction, finding significant feedback effects.

The paper maps individual auditory cortex subareas using functional network analysis and fMRI, showing high intraindividual reproducibility and meaningful interindividual variability.

The paper decodes auditory working memory content from EEG aftereffects of auditory-cortical TMS using multivariate pattern analysis.

This study uses intracranial EEG and machine learning to show dynamic, activity-silent mechanisms maintain auditory working memory in humans.

The paper compares auditory and visual aspects of multisensory working memory using bimodally matched stimuli and finds auditory matching is more accurate than visual in certain conditions.

This study uses 7T fMRI to compare brain activity during speech production and perceptual categorization, finding that left motor networks are involved in both tasks.