Publikationen von Burkhard Maess

Sonntag, H.; Maess, B.: Magnetic field compensation coil design for magnetoencephalography. 54th Annual Conference of the German Society for Biomedical Engineering, Leipzig, Germany (2020)

Maess, B.: Signatures of prediction in speech processing. IBB Kolloquium, Universität Münster, Germany (2019)

Maess, B.: Source analysis III: Distributed source models. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Event-related signals: Averaging, component analysis, statistics. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Source analysis II: Focal sources –dipole fitting and scanning methods. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Spontaneous signals and basic signal processing: Filtering, artefact treatment, interpolation, etc. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Maess, B.: Source analysis III: Distributed source models. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2018)

Maess, B.: Event-related signals: Averaging, component analysis, statistics. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2018)

Maess, B.: Source analysis II: Focal sources – Dipole fitting and scanning methods. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2018)

Maess, B.: Spontaneous signals and basic signal processing: Filtering, artefact treatment, interpolation, etc. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2018)

Fuchs, M.; Maess, B.; Knösche, T. R.: Integration von Zusatzwissen über die Ähnlichkeit benachbarter Quellen in EEG/MEG-Quellenrekonstruktionsverfahren. Workshop Biosignalverarbeitung 2018: Innovative Verarbeitung bioelektrischer und biomagnetischer Signale, Erfurt, Germany (2018)

Maess, B.: Magnetenzephalographie. Methoden der kognitiven Neurowissenschaften, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Source analysis III: Distributed source models. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Event-related signals: Averaging, component analysis, statistics. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Source analysis I: Overview and head modeling. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Source analysis II: Focal sources – Dipole fitting and scanning methods. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Magnetoencephalography: Instrumentation and recording. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Spontaneous signals and basic signal processing: Filtering, artefact treatment, interpolation, etc. IMPRS Lecture Series "Neuroimaging Physics & Signal Processing: Electroencephalography and Magnetoencephalography", Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2017)

Maess, B.: Mathematical modeling for the cortical excitability in Alzheimer’s disease based on MEG data. Symposium at the Center for Development of Advanced Medicine for Dementia , National Center for Geriatrics and Gerontology (NCGG), Obu, Japan (2016)

Sonntag, H.; Vorwerk, J.; Wolters, C.; Grasedyck, L.; Haueisen, J.; Maess, B.: Modeling the partial volume effect using FEM in the EEG forward problem. Innovative Verarbeitung bioelektrischer und biomagnetischer Signale, Berlin, Germany (2014)