Publikationen

Gast, R.; Gong, R.; Schmidt, H.; Meijer, H. G.E.; Knösche, T. R.: On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience 41 (31), S. 6673 - 6683 (2021)

Peng, X.; Wu, X.; Gong, R.; Yang, R.; Wang, X.; Zhu, W.; Lin, P.: Sub-regional anterior cingulate cortex functional connectivity revealed default network subsystem dysfunction in patients with major depressive disorder. Psychological Medicine 51 (10), S. 1687 - 1695 (2021)

Wang, P.; Knösche, T. R.; Chen, L.; Brauer, J.; Friederici, A.D.; Maess, B.: Functional brain plasticity during L1 training on complex sentences: Changes in gamma‐band oscillatory activity. Human Brain Mapping (2021)

Chen, L.; Wu, J.; Hartwigsen, G.; Zhongshan, L.; Wang, P.; Feng, L.: The role of a critical left fronto-temporal network with its right-hemispheric homologue in syntactic learning based on word category information. Journal of Neurolinguistics 58, 100977 (2021)

Wöstmann, M.; Maess, B.; Obleser, J.: Orienting auditory attention in time: Lateralized alpha power reflects spatio-temporal filtering. NeuroImage 228, 117711 (2021)

Schmidt, H.; Hahn, G.; Deco, G.; Knösche, T. R.: Ephaptic coupling in white matter fibre bundles modulates axonal transmission delays. PLoS Computational Biology 17 (2), e1007858 (2021)

Gong, R.; Wegscheider, M.; Mühlberg, C.; Gast, R.; Fricke, C.; Rumpf, J.-J.; Nikulin, V. V.; Knösche, T. R.; Classen, J.: Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain 144 (2), S. 487 - 503 (2021)

Gong, R.; Wegscheider, M.; Mühlberg, C.; Gast, R.; Fricke, C.; Rumpf, J.-J.; Nikulin, V. V.; Knösche, T. R.; Classen, J.: Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson's disease derived from scalp EEG. Brain 144 (2), S. 487 - 503 (2021)

Schirmer, A.; Wijaya, M.; Chiu, M. H.; Maess, B.; Gunter, T. C.: Musical rhythm effects on visual attention are non-rhythmical: Evidence against metrical entrainment. Social Cognitive and Affective Neuroscience 16 (1-2), S. 58 - 71 (2021)

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), S. 1615 - 1634 (2020)

Jamshidi Idaji, M.; 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)

Kim, S.-G.; Mueller, K.; Lepsien, J.; Mildner, T.; Fritz, T. H.: Brain networks underlying aesthetic appreciation as modulated by interaction of the spectral and temporal organisations of music. Scientific Reports 9, 19446 (2019)

Finger, H.; Gast, R.; Gerloff, C.; Engel, A. K.; König, P.: Probing neural networks for dynamic switches of communication pathways. PLoS Computational Biology 15 (12), e1007551 (2019)

Gast, R.; Rose, D.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: PyRates - A Python framework for rate-based neural simulations. PLOS One 14 (12), e0225900 (2019)