Alina Schüller

This study uses MEG and machine learning to decode auditory and visual mental imagery, showing deep learning models can capture cross-modal neural representations even from non-task-relevant regions.

The study investigates whether visual information modulates the cortical contribution to the speech-FFR and finds no significant modulation despite improved speech-in-noise comprehension with visual input.

This study investigates how the brain processes audiovisual speech from natural videos, avatars, and degraded videos, revealing distinct neural tracking patterns in different frequency bands.

This study investigates whether musical training affects the cortical contribution to the speech-FFR and its modulation by selective attention, finding no significant differences between musicians and non-musicians.

This study examines how selective attention affects cortical speech envelope tracking in delta and theta bands and finds that musical training does not influence this process.

The paper measures an early subcortical response to continuous speech using MEG, finding a 9 ms latency component similar to EEG measurements.

This study shows that selective attention modulates cortical contributions to the speech-FFR, with attended speakers eliciting stronger neural responses and lower fundamental frequencies also producing larger cortical responses.