Publications of Thomas R. Knösche

Journal Article (86)

2022
Journal Article
Gong, R., Mühlberg, C., Wegscheider, M., Fricke, C., Rumpf, J.-J., Knösche, T. R., & Classen, J. (2022). Cross-frequency phase-amplitude coupling in repetitive movements in patients with Parkinson’s disease. Journal of Neurophysiology, 127, 1606–1621.
Journal Article
Weise, K., Müller, E., Poßner, L., & Knösche, T. R. (2022). Comparison of the performance and reliability between improved sampling strategies for polynomial chaos expansion. Mathematical Biosciences and Engineering, 19, 7425–7480.
Journal Article
Schmidt, H., & Knösche, T. R. (2022). Modelling the effect of ephaptic coupling on spike propagation in peripheral nerve fibres. Biological Cybernetics. doi:10.1007/s00422-022-00934-9
Journal Article
Weise, K., Wartman, W. A., Knösche, T. R., Nummenmaa, A. R., & Makarov, S. N. (2022). The effect of meninges on the electric fields in TES and TMS: Numerical modeling with adaptive mesh refinement. Brain Stimulation, 15, 654–663.
2021
Journal Article
Numssen, O., Zier, A., Thielscher, A., Hartwigsen, G., Knösche, T. R., & Weise, K. (2021). Efficient high-resolution TMS mapping of the human motor cortex by nonlinear regression. NeuroImage, 245. doi:10.1016/j.neuroimage.2021.118654
Journal Article
Feng, Z.-J., Deng, X.-P., Zhao, N., Jin, J., Yue, J., Hu, Y.-S., … Wang, J. (2021). Resting-state fMRI functional connectivity strength predicts local activity change in the dorsal cingulate cortex: A multi-target focused rTMS study. Cerebral Cortex. doi:10.1093/cercor/bhab380
Journal Article
Gast, R., Knösche, T. R., & Schmidt, H. (2021). Mean-field approximations of networks of spiking neurons with short-term synaptic plasticity. Physical Review E, 104. doi:10.1103/PhysRevE.104.044310
Journal Article
Wang, P., Knösche, T. R., Chen, L., Brauer, J., Friederici, A. D., & Maess, B. (2021). Functional brain plasticity during L1 training on complex sentences: Changes in gamma‐band oscillatory activity. Human Brain Mapping, 42, 3858–3870.
Journal Article
Gast, R., Gong, R., Schmidt, H., Meijer, H. G. E., & Knösche, T. R. (2021). On the role of arkypallidal and prototypical neurons for phase transitions in the external pallidum. The Journal of Neuroscience, 41, 6673–6683.
Journal Article
Gong, R., Wegscheider, M., Mühlberg, C., Gast, R., Fricke, C., Rumpf, J.-J., … Classen, J. (2021). Spatiotemporal features of β-γ phase-amplitude coupling in Parkinson’s disease derived from scalp EEG. Brain, 144, 487–503.
2020
Journal Article
Gast, R., Schmidt, H., & Knösche, T. R. (2020). A mean-field description of bursting dynamics in spiking neural networks with short-term adaptation. Neural Computation, 32, 1615–1634.
Journal Article
Weise, K., Numssen, O., Thielscher, A., Hartwigsen, G., & Knösche, T. R. (2020). A novel approach to localize cortical TMS effects. NeuroImage, 209. doi:10.1016/j.neuroimage.2019.116486
Journal Article
Weise, K., Poßner, L., Müller, E., Gast, R., & Knösche, T. R. (2020). Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX, 11. doi:10.1016/j.softx.2020.100450
2019
Journal Article
Gast, R., Rose, D., Möller, H. E., Weiskopf, N., & Knösche, T. R. (2019). PyRates - A Python framework for rate-based neural simulations. PLOS One, 14. doi:10.1371/journal.pone.0225900
Journal Article
Chien, V. S. C., Maess, B., & Knösche, T. R. (2019). A generic deviance detection principle for cortical on/off responses, omission response, and mismatch negativity. Biological Cybernetics, 113, 475–494.
Journal Article
Schmidt, H., & Knösche, T. R. (2019). Action potential propagation and synchronisation in myelinated axons. PLoS Computational Biology, 15. doi:10.1371/journal.pcbi.1007004
Journal Article
Saturnino, G. B., Thielscher, A., Madsen, K. H., Knösche, T. R., & Weise, K. (2019). A principled approach to conductivity uncertainty analysis in electric field calculations. NeuroImage, 188, 821–834.
Journal Article
Kunze, T., Haueisen, J., & Knösche, T. R. (2019). Emergence of cognitive priming and structure building from the hierarchical interaction of canonical microcircuit models. Biological Cybernetics, 113, 273–291.
2018
Journal Article
Tittgemeyer, M., Rigoux, L., & Knösche, T. R. (2018). Cortical parcellation based on structural connectivity: A case for generative models. NeuroImage, 173, 592–603.
2017
Journal Article
Kunze, T., Peterson, A. D. H., Haueisen, J., & Knösche, T. R. (2017). A model of individualized canonical microcircuits supporting cognitive operations. PLoS One, 12. doi:10.1371/journal.pone.0188003
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