Publications

Kuhnke, P.; Beaupain, M. C.; Cheung, V. K. M.; Weise, K.; Kiefer, M.; Hartwigsen, G.: Left posterior inferior parietal cortex causally supports the retrieval of action knowledge. NeuroImage 219, 117041 (2020)

Gast, R.; Schmidt, H.; Knösche, T. R.: A mean-field description of bursting dynamics in spiking neural networks with short-term adaptation. Neural Computation 32 (9), pp. 1615 - 1634 (2020)

Idaji, M. J.; Müller, K.-R.; Nolte, G.; Maess, B.; Villringer, A.; Nikulin, V. V.: Nonlinear interaction decomposition (NID): A method for separation of cross-frequency coupled sources in human brain. NeuroImage 211, 116599 (2020)

Woldman, W.; Schmidt, H.; Abela, E.; Chowdhury, F. A.; Pawley, A. D.; Jewell, S.; Richardson, M. P.; Terry, J. R.: Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised. Scientific Reports 10, 7043 (2020)

Weise, K.; Numssen, O.; Thielscher, A.; Hartwigsen, G.; Knösche, T. R.: A novel approach to localize cortical TMS effects. NeuroImage 209, 116486 (2020)

Schmidt, H.; Avitabile, D.: Bumps and oscillons in networks of spiking neurons. Chaos 30 (3), 033133 (2020)

Weise, K.; Poßner, L.; Müller, E.; Gast, R.; Knösche, T. R.: Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX 11, 100450 (2020)

Bitzer, S.; Park, H.; Maess, B.; von Kriegstein, K.; Kiebel, S. J.: Representation of perceptual evidence in the human brain assessed by fast, within-trial dynamic stimuli. Frontiers in Human Neuroscience 14, 9 (2020)

Poßner, L.; Laukner, M.; Wilhelmy, F.; Lindner, D.; Pliquett, U.; Petkovic, B.; Ziolkowski, M.; Knösche, T. R.; Weise, K.: In situ impedance measurements on postmortem porcine brain. Current Directions in Biomedical Engineering 6, 20203037, 3 Ed., pp. 143 - 146 (2020)

Chien, V. S. C.; Gast, R.; Maess, B.; Knösche, T. R.: Representing predictability of sequence patterns in a random network with short-term plasticity. In BMC Neuroscience, 21 (Suppl. 1), P101. BioMed Central (2020)

Kuhnke, P.; Beaupain, M. C.; Cheung, V. K. M.; Weise, K.; Kiefer, M.; Hartwigsen, G.: P6 Left posterior inferior parietal cortex causally supports the retrieval of action knowledge. In Clinical Neurophysiology, 131 (4), pp. e13 - e14. Elsevier, Amsterdam (2020)

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

Knösche, T. R.: State-of-the-art source imaging methods. 9th International Summer School in Biomedical Engineering, Erfurt, Germany (2020)

Gast, R.: Approaches to mean-field modeling of neural dynamics: A practical introduction via the neural modeling tool PyRates. 9th International Summer School in Biomedical Engineering, Erfurt, Germany (2020)

Knösche, T. R.: Neural mass models: Parsimonious and biologically realistic modeling of brain function. 9th International Summer School in Biomedical Engineering, Erfurt, Germany (2020)

Gast, R.: Bursting dynamics in spiking neural networks. Dynamics Days Digital 2020, Virtual (2020)

Knösche, T. R.: Localizing cortical correlates of non-invasive brain stimulation effects. ANT Neuromeeting, Beaune, France (2020)

Gong, R.; Wegscheider, M.; Mühlberg, C.; Gast, R.; Fricke, C.; Rumpf, J.-J.; Nikulin, V. V.; Knösche, T. R.; Classen, J.: Increased phase-amplitude coupling in Parkinson’s disease: Evidence from source localized electroencephalography. 7th International Conference on Non-invasive Brain Stimulation, Virtual (2020)

Nierula, B.; Stephani, T.; Kaptan, M.; Mouraux , A.; Maess, B.; Curio, G.; Nikulin, V. V.; Eippert, F.: Somatosensory evoked potentials along the neuraxis. LiveMEEG, Virtual (2020)

Gast, R.; Schmidt, H.; Knösche, T. R.: Dynamic regimes of spiking neural networks with short-term adaptation: Phase transitions of low-dimensional manifolds between asynchronous, synchronized and chaotic regimes. Bernstein Conference 2020, Virtual (2020)