Burkhard Maeß

This study shows that phonemes and prosody are processed in parallel rather than sequentially in the brain's speech streams, with prosody showing greater spatial spread.

The paper investigates whether pitch motor areas contribute to prosodic category perception by analyzing neural decoding during singing and prosody identification tasks.

This paper improves the localization of auditory evoked fields using reciprocal BEM-FMM, achieving higher accuracy and focality compared to standard BEM methods.

The paper examines how structural brain features relate to functional activity across individuals and brain regions, finding distinct mechanisms for intra- and inter-individual variability in alpha power.

This study shows that task similarity during learning can impair performance, with neural and network models showing reduced orthogonality in representations for similar tasks.

This paper introduces a fast MEG source estimation method using reciprocal relationships and BEM-FMM, achieving high-resolution gain matrices for up to 1 million dipoles.

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 develops a BEM-based method to solve EEG/MEG forward problems for high-resolution head models in about 60 seconds.

This paper develops a multi-channel electrophysiology method to non-invasively record human spinal cord activity with high temporal resolution and demonstrates its application in studying somatosensation and nociception.

This study evaluates noise correction methods for electrospinography (ESG) to reduce cardiac artefacts and improve signal quality in human spinal cord recordings.

The paper compares dipole source reconstruction accuracy between 3-layer and 5-layer BEM-FMM models, finding that 3-layer models provide good localization but less accurate orientation, with AMR improving 5-layer accuracy.

The paper models auditory evoked responses in non-human primate auditory cortex using LFP data to identify cell-type specific contributions to neural dynamics across cortical layers.

The paper demonstrates that sound elevation is represented in a population-rate code in human auditory cortex using electroencephalography, confirming previous fMRI findings.

This study examines age-related differences in neural responses to amplitude and frequency modulations in sound, finding greater synchronization but reduced sustained activity in older adults.

The paper develops and validates a new EEG source localization algorithm using BEM-FMM, reciprocity principle, and TES forward model matrix, achieving high-resolution source reconstruction with low computational cost.

This study examines how neural activity related to auditory attention changes with age, showing differences in brain regions and timing strategies between younger and older adults during listening tasks.

This study shows that older adults have reduced sustained neural activity in auditory cortex when processing sound patterns, compared to younger adults, which may explain age-related hearing difficulties.

This study shows that lateralized alpha power reflects spatio-temporal attentional filtering, with stronger modulation following temporal cues.

This paper introduces NID, a method to decompose cross-frequency coupled sources in EEG/MEG data, showing it reliably extracts nonlinear interactions even at low SNR and identifies alpha-beta phase-phase coupling in resting-state EEG.

The paper proposes a network model of reciprocally coupled neural masses to simulate cortical deviance responses and predicts effects of synaptic adaptation and NMDA receptor antagonists on change detection.

This study investigates how decision evidence is represented in human brain signals using magnetoencephalography, identifying three distinct phases of processing in different brain regions.

This study uses tACS-MEG to show that tACS enhances pre-existing alpha band power modulations during a mental rotation task without counteracting intrinsic oscillations.