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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: http://hdl.handle.net/21.11116/0000-0004-BB5D-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-BB5E-1
Genre: Talk

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 Creators:
Weise, Konstantin1, Author              
Affiliations:
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: 2018-09
 Publication Status: Not specified
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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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