Publikationen von Thomas R. Knösche

Knösche, T. R.; Spiegler, A.; Nguyen Trong, M.; Kiebel, S.; Atay, F.: Bifurcation Analysis of Neural Mass Models. Conference of Stochastic Models in Neuroscience, Marseille, France (2010)

Anwander, A.; Pampel, A.; Knösche, T. R.: In vivo measurement of cortical anisotropy by diffusion-weighted imaging correlates with cortex type. ISMRM Joint Annual Meeting, Stockholm, Sweden (2010)

Knösche, T. R.; Spiegler, A.; Nguyen Trong, M.: Modelling Brain Oscillations with Neural Masses. Eighteenth Annual Computational Neuroscience Meeting, Berlin, Germany (2009)

Knösche, T. R.: Anatomische, funktionelle und effektive Konnektivität im Gehirn. Arbeitstagung Psychophysiologie und Methodik, Leipzig (2009)

Anwander, A.; Knösche, T. R.: Quantitative Konnektivität zwischen Hirnarealen aus diffusionsgewichteter MR Bild. 35. Arbeitstagung Psychophysiologie und Methodik (APM) [Meeting on Psychophysiology and Methods], Leipzig, Germany (2009)

Sammler, D.; Koelsch, S.; Ball, T.; Brandt, A.; Elger, C. E.; Friederici, A. D.; Huppertz, H.-J.; Knösche, T. R.; Wellmer, J.; Widman, G. et al.; Schulze-Bonhage, A.: The cortical representation of syntax in music and language. Symposium "10 Jahre Epileptologie am Universitätsklinikum Freiburg", Germany (2009)

Knösche, T. R.: Connectivity in the brain - reconstruction of fibre connections using diffusion weighted MR imaging. Neuromeeting Bourgogne, Beaune, France (2009)

Knösche, T. R.; Henniger, D.; Dannhauer, M.; Nan, Y.; Haueisen, J.: Neural networks underlying the processing of phrase structure in culturally familiar and unfamiliar music. 16th International Conference on Biomagnetism (BIOMAG 2008), Sapporo, Japan (2008)

Knösche, T. R.; Dannhauer, M.: Lokalisation von tiefen Quellen im Gehirn. Workshop Biosignalverarbeitung, Germany (2008)

Knösche, T. R.; Gräser, M.: Incorporation of functio-anatomical a priori knowledge into EEG source reconstruction. 16. Deutsches EEG/EP Mapping Meeting, Rauischholzhausen (2007)

Haueisen, J.; Knösche, T. R.: Altruism in evolutionary algorithms for the reconstruction of brain activity. OIPE 2006 – “The 9th Workshop on Optimization and Inverse Problems in Electromagnetics”, Sorrento (2006)

Schmidt, H.; Knösche, T. R.: Action potential propagation in long-range axonal fibre bundles. Bernstein Conference 2019, Berlin, Germany (2019)

Weise, K.; Numssen, O.; Thielscher, A.; Hartwigsen, G.; Knösche, T. R.: TMS Mapping - An effective model-based approach. 4th International Conference on Basic and Clinical Multimodal Imaging (BaCI), Chengdu, China (2019)

Gast, R.; Schmidt, H.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: From damped oscillations to synchronous bursting: Describing the effects of synaptic depres-sion on the collective behavior of spiking neurons. 28th Annual Computational Neuroscience Meeting, CNS*2019, Barcelona, Spain (2019)

Chien, V.; Maess, B.; Knösche, T. R.: How do local neural populations know about the predictability of sound sequences. 28th Annual Computational Neuroscience Meeting, Barcelona, Spain (2019)

Schmidt, H.; Knösche, T. R.: Action potential propagation in long-range axonal fibre bundles. 28th Annual of the Cognitive Neuroscience Society (CNS 2019), Barcelona, Spain (2019)

Numssen, O.; Weise, K.; Thielscher, A.; Knösche, T. R.; Hartwigsen, G.: Determining the stimulation site in TMS: Sensitivities with respect to uncertain model parameters. 9th IMPRS NeuroCom Summer School, Leipzig, Germany (2019)

Weise, K.; Numssen, O.; Thielscher, A.; Hartwigsen, G.; Knösche, T. R.: Determining the stimulation site in TMS: Sensitivities with respect to uncertain model parameters. 25th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Rome, Italy (2019)

Gast, R.; Rose, D.; Möller, H. E.; Weiskopf, N.; Knösche, T. R.: PyRates: A Python framework for rate-based neural simulations. Brain-In-Depth (BID) 2019, International Symposium on layer-dependent MRI: Modeling Cortical Microstructure, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2019)

Gast, R.; Knösche, T. R.; Rose, D.; Möller, H. E.; Weiskopf, N.: PyRates: A Python framework for rate-based neural simulations. 27th Annual Computational Neuroscience Meeting (CNS*2018), Seattle, WA (2018)