Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience

Computational models in neuroscience typically contain many parameters that are poorly constrained by experimental data. Uncertainty quantification and sensitivity analysis provide rigorous procedures to quantify how the model output depends on this parameter uncertainty. Unfortunately, the applicat...

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Bibliographic Details
Main Authors: Simen Tennøe, Geir Halnes, Gaute T. Einevoll
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-08-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fninf.2018.00049/full