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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)

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

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)

Kim, S.-G.; Knösche, T. R.: On the perceptual subprocess of absolute pitch. Frontiers in Neuroscience 11, 557 (2017)

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)

Wang, P.; Knösche, T. R.: A realistic neural mass model of the cortex with laminar-specific connections and synaptic plasticity: Evaluation with auditory habituation. PLoS One 8 (10), e77876 (2013)

Kim, S.-G.; Stelzer, J.; Bazin, P.-L.; Viehweger, A.; Knösche, T. R.: Group-wise analysis on myelination profiles of cerebral cortex using the second eigenvector of Laplace-Beltrami operator. In: Proceedings of the 11th IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1007 - 1010. The 11th IEEE International Symposium on Biomedical Imaging (ISBI), Beijing, China, April 29, 2014 - May 02, 2014. (2014)