Gast, R.; Weise, K.; Rose, D.; Knösche, T. R.: Design and sensitivity analysis of neural models (using PyRates and pygpc). 28th Annual Computational Neuroscience Meeting (CNS), Barcelona, Spain (2019)

Sonntag, H.: The effect of uncertainty in MEG-to-MRI coregistrations on MEG inverse problems. Forschungsseminar, Institut für Biomedizinische Technik und Informatik Technische Universität Ilmenau, Germany (2019)

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

Knösche, T. R.: Connectivity analysis. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Knösche, T. R.: Dynamic modeling. IMPRS Lecture: Neuroimaging Physics & Signal Processing: EEG & MEG, Leipzig, Germany (2019)

Knösche, T. R.: Discussion: EEG and MEG in relation to other brain imaging techniques. 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 (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)

Knösche, T. R.: Electroencephalography: Instrumentation and recording. 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)

Schmidt, H.: Mathematical treatment of action potential propagation in axonal fibre bundles. SIAM Conference on Applications of Dynamical Systems, Snowbird, UT, USA (2019)

Knösche, T. R.: (How) can we reconstruct functional connectomes from EEG/MEG? Shanghai Neuromeeting, Shanghai, China (2019)

Knösche, T. R.: The localization of cortical activity underlying TMS induced effects. ANT Neuromeeting, Beaune, France (2019)

Nierula, B.; Stephani, T.; Kaptan, M.; Mouraux, A.; Maess, B.; Curio, G.; Nikulin, V. V.; Eippert, F.: Somatosensory evoked potentials in the human spinal cord. 49th Annual Meeting of the Society for Neuroscience, Chicago, IL (2019)

Kalloch, B.; Weise, K.; Bazin, P.-L.; Lampe, L.; Villringer, A.; Hlawitschka, M.; Sehm, B.: The influence of white matter lesions on the electrical field during transcranial electric stimulation: Preliminary results of a computational sensitivity analysis. 49th Annual Meeting of the Society for Neuroscience (SfN), Chicago, IL, USA (2019)

Schmidt, H.; Knösche, T. R.: Action potential propagation in long-range axonal fibre bundles. Bernstein Conference 2019, Berlin, Germany (2019)

Weise, K.; Numssen, O.; Thielscher, A.; Hartwigsen, G.; Knösche, T. R.: TMS Mapping - An effective model-based approach. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Gast, R.; Schmidt, H.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: From damped oscillations to synchronous bursting: Describing the effects of synaptic depres-sion on the collective behavior of spiking neurons. 28th Annual Computational Neuroscience Meeting, CNS*2019, Barcelona, Spain (2019)

Chien, V.; Maess, B.; Knösche, T. R.: How do local neural populations know about the predictability of sound sequences. 28th Annual Computational Neuroscience Meeting, Barcelona, Spain (2019)