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Journal Article (76)

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
Journal Article
Kim, S.-G., & Knösche, T. R. (2017). On the perceptual subprocess of absolute pitch. Frontiers in Neuroscience, 11. doi:10.3389/fnins.2017.00557
Journal Article
Kim, S.-G., & Knösche, T. R. (2017). Resting state functional connectivity of the ventral auditory pathway in musicians with absolute pitch. Human Brain Mapping, 38, 3899–3916.
Journal Article
Aydin, Ü., Rampp, S., Wollbrink, A., Kugel, H., Cho, J.-H., Knösche, T. R., … Wellmer, J. (2017). Zoomed MRI guided by combined EEG/MEG source analysis: A multimodal approach for optimizing presurgical epilepsy work-up and its application in a multi-focal epilepsy patient case study. Brain Topography, 30, 417–433.
2016
Journal Article
Kim, S.-G., & Knösche, T. R. (2016). Intracortical myelination in musicians with absolute pitch: Quantitative morphometry using 7-T MRI. Human Brain Mapping, 37, 3486–3501.
2015
Journal Article
Knösche, T. R., Anwander, A., Liptrop, M., & Dyrby, T. (2015). Validation of tractography: Comparison with manganese tracing. Human Brain Mapping, 36, 4116–4134.
Journal Article
Cho, J.-H., Vorwerk, J., Wolters, C. H., & Knösche, T. R. (2015). Influence of the head model on EEG and MEG source connectivity analysis. NeuroImage, 110, 60–77.
Journal Article
Fukushima, M., Yamashita, O., Knösche, T. R., & Sato, M.-aki. (2015). MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. NeuroImage, 105, 408–427.
2014
Journal Article
Eichelbaum, S., Dannhauer, M., Hlawitschka, M., Brooks, D., Knösche, T. R., & Scheuermann, G. (2014). Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: A comparative evaluation. NeuroImage, 101, 513–530.
Journal Article
Riffert, T., Schreiber, J., Anwander, A., & Knösche, T. R. (2014). Beyond fractional anisotropy: Extraction of bundle-specific structural metrics from crossing fiber models. NeuroImage, 100, 176–191.
Journal Article
Vorwerk, J., Cho, J.-H., Rampp, S., Hamer, H., Knösche, T. R., & Wolters, C. H. (2014). A guideline for head volume conductor modeling in EEG and MEG. NeuroImage, 100, 590–607.
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