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Journal Article (76)

2020
Journal Article
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)
Journal Article
Weise, K.; Numssen, O.; Thielscher, A.; Hartwigsen, G.; Knösche, T. R.: A novel approach to localize cortical TMS effects. NeuroImage 209, 116486 (2020)
Journal Article
Weise, K.; Poßner, L.; Müller, E.; Gast, R.; Knösche, T. R.: Pygpc: A sensitivity and uncertainty analysis toolbox for Python. SoftwareX 11, 100450 (2020)
2019
Journal Article
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)
Journal Article
Chien, V. S. C.; Maess, B.; Knösche, T. R.: A generic deviance detection principle for cortical on/off responses, omission response, and mismatch negativity. Biological Cybernetics 113 (5-6), pp. 475 - 494 (2019)
Journal Article
Schmidt, H.; Knösche, T. R.: Action potential propagation and synchronisation in myelinated axons. PLoS Computational Biology 15 (10), e1007004 (2019)
Journal Article
Saturnino, G. B.; Thielscher, A.; Madsen, K. H.; Knösche, T. R.; Weise, K.: A principled approach to conductivity uncertainty analysis in electric field calculations. NeuroImage 188, pp. 821 - 834 (2019)
Journal Article
Kunze, T.; Haueisen, J.; Knösche, T. R.: Emergence of cognitive priming and structure building from the hierarchical interaction of canonical microcircuit models. Biological Cybernetics 113 (3), pp. 273 - 291 (2019)
2018
Journal Article
Tittgemeyer, M.; Rigoux, L.; Knösche, T. R.: Cortical parcellation based on structural connectivity: A case for generative models. NeuroImage 173, pp. 592 - 603 (2018)
2017
Journal Article
Kunze, T.; Peterson, A. D. H.; Haueisen, J.; Knösche, T. R.: A model of individualized canonical microcircuits supporting cognitive operations. PLoS One 12 (12), e0188003 (2017)
Journal Article
Kim, S.-G.; Knösche, T. R.: On the perceptual subprocess of absolute pitch. Frontiers in Neuroscience 11, 557 (2017)
Journal Article
Kim, S.-G.; Knösche, T. R.: Resting state functional connectivity of the ventral auditory pathway in musicians with absolute pitch. Human Brain Mapping 38 (8), pp. 3899 - 3916 (2017)
Journal Article
Aydin, Ü.; Rampp, S.; Wollbrink, A.; Kugel, H.; Cho, J.-H.; Knösche, T. R.; Grova, C.; Wellmer, J.: 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 (4), pp. 417 - 433 (2017)
2016
Journal Article
Kim, S.-G.; Knösche, T. R.: Intracortical myelination in musicians with absolute pitch: Quantitative morphometry using 7-T MRI. Human Brain Mapping 37 (10), pp. 3486 - 3501 (2016)
2015
Journal Article
Knösche, T. R.; Anwander, A.; Liptrop, M.; Dyrby, T.: Validation of tractography: Comparison with manganese tracing. Human Brain Mapping 36 (10), pp. 4116 - 4134 (2015)
Journal Article
Cho, J.-H.; Vorwerk, J.; Wolters, C. H.; Knösche, T. R.: Influence of the head model on EEG and MEG source connectivity analysis. NeuroImage 110, pp. 60 - 77 (2015)
Journal Article
Fukushima, M.; Yamashita, O.; Knösche, T. R.; Sato, M.-a.: MEG source reconstruction based on identification of directed source interactions on whole-brain anatomical networks. NeuroImage 105, pp. 408 - 427 (2015)
2014
Journal Article
Eichelbaum, S.; Dannhauer, M.; Hlawitschka, M.; Brooks, D.; Knösche, T. R.; Scheuermann, G.: Visualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: A comparative evaluation. NeuroImage 101, pp. 513 - 530 (2014)
Journal Article
Riffert, T.; Schreiber, J.; Anwander, A.; Knösche, T. R.: Beyond fractional anisotropy: Extraction of bundle-specific structural metrics from crossing fiber models. NeuroImage 100, pp. 176 - 191 (2014)
Journal Article
Vorwerk, J.; Cho, J.-H.; Rampp, S.; Hamer, H.; Knösche, T. R.; Wolters, C. H.: A guideline for head volume conductor modeling in EEG and MEG. NeuroImage 100, pp. 590 - 607 (2014)
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