Tobias Reichenbach

CORSICA suppresses cochlear implant artifacts in speech-evoked EEG data using cross-correlation with speech stimuli, outperforming alternative methods with minimal manual intervention.

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 shows that neural envelope tracking in EEG does not correlate with speech unit rates or pitch, revealing distinct frequency-dependent neural mechanisms.

The paper shows that speech-like distortion product otoacoustic emissions are modulated by selective attention to speech in noise, indicating cochlear active processes contribute to auditory scene analysis.

This study compares cortical speech tracking and attentional modulation between hearing aid users, cochlear implant users, and typical hearing individuals in noisy environments.

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.

The paper shows that audiotactile integration improves syllable discrimination through theta band oscillations, even after tactile stimulation has ended.

This study finds that phase-locking in the delta band of EEG responses to speech reflects linguistic information and may relate to listening effort.

The paper examines early neural responses to speech fundamental frequency and finds they are influenced by both acoustic and linguistic features.

This study shows that synthesized facial animations from speech improve speech comprehension in noise, though natural facial motions provide a greater benefit.

The paper shows that cortical tracking of background speech rhythms modulates comprehension of foreground speech, with opposing phase effects when targeting different speech streams.

The paper investigates neural responses to musical temporal fine structure and finds no attentional modulation in competing instruments.

This paper decodes selective attention to speech from human auditory brainstem responses using statistical models, showing accurate attention focus decoding from short EEG recordings.

This study develops a method to measure the human auditory brainstem response to running speech and shows it is modulated by selective attention.