Uncertainty quantification in computational neuroscience: The application of 
generalized polynomial chaos

Weise, Konstantin

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Uncertainty quantification in computational neuroscience: The application of generalized polynomial chaos

Weise, K. (2018). Uncertainty quantification in computational neuroscience: The application of generalized polynomial chaos. Talk presented at 52nd Annual Conference of the German Society for Biomedical Engineering (BMT 2018). Aachen, Germany. 2018-09-26 - 2018-09-28.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-BB5D-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-BB5E-1

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Creators:
Weise, Konstantin¹, Author

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1Methods and Development Unit - MEG and Cortical Networks, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205650

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Dates: Created: 2018-09

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Title: 52nd Annual Conference of the German Society for Biomedical Engineering (BMT 2018)

Place of Event: Aachen, Germany

Start-/End Date: 2018-09-26 - 2018-09-28

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