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pro vyhledávání: '"Knösche, Thomas"'
Mathematical models allow us to gain a deeper understanding of real-world dynamical systems. One of the most powerful mathematical frameworks for modeling real-world phenomena are systems of differential equations. In the majority of fields that use
Externí odkaz:
http://arxiv.org/abs/2302.03763
Autor:
Eichelbaum, Sebastian, Wiebel, Alexander, Hlawitschka, Mario, Anwander, Alfred, Knösche, Thomas, Scheuermann, Gerik
Diffusion tensor images and higher-order diffusion images are the foundation for neuroscience researchers who are trying to gain insight into the connectome, the wiring scheme of the brain. Although modern imaging devices allow even more detailed ana
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32506
https://ul.qucosa.de/api/qucosa%3A32506/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32506/attachment/ATT-0/
Autor:
Hlawitschka, Mario, Scheuermann, Gerik, Anwander, Alfred, Knösche, Thomas, Tittgemeyer, Marc, Hamann, Bernd
This paper presents a method to reduce time complexity of the computation of higher–order tensor lines. The method can be applied to higher–order tensors and the spherical harmonics representation, both widely used in medical imaging. It is based
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A32979
https://ul.qucosa.de/api/qucosa%3A32979/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A32979/attachment/ATT-0/
As uncertainty and sensitivity analysis of complex models grows ever more important, the difficulty of their timely realizations highlights a need for more efficient numerical operations. Non-intrusive Polynomial Chaos methods are highly efficient an
Externí odkaz:
http://arxiv.org/abs/2202.02192
Low-dimensional descriptions of neural network dynamics are an effective tool for bridging different scales of organization of brain structure and function. Recent advances in deriving mean-field descriptions for networks of coupled oscillators have
Externí odkaz:
http://arxiv.org/abs/2101.06057
Publikováno v:
In NeuroImage 1 November 2023 281
Autor:
Gast, Richard1,2 (AUTHOR) richard.gast@northwestern.edu, Knösche, Thomas R.3 (AUTHOR), Kennedy, Ann1,2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 12/27/2023, Vol. 19 Issue 12, p1-24. 24p.
Autor:
Numssen, Ole, Zier, Anna-Leah, Thielscher, Axel, Hartwigsen, Gesa, Knösche, Thomas R., Weise, Konstantin
Publikováno v:
In NeuroImage 15 December 2021 245
In spite of the large amount of existing neural models in the literature, there is a lack of a systematic review of the possible effect of choosing different initial conditions on the dynamic evolution of neural systems. In this short review we inten
Externí odkaz:
http://arxiv.org/abs/1605.07074
Publikováno v:
In NeuroImage 1 April 2020 209