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Empirical Inference Article 2022

Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models

Thumb ticker sm hennig lowres cropped
Probabilistic Numerics, Empirical Inference
Philipp Hennig
Affiliated Researcher

Author(s): Oesterle, J. and Krämer, N. and Hennig P. and Berens, P.
Journal: Journal of Computational Neuroscience
Volume: 50
Number (issue): 4
Pages: 485--503
Year: 2022
Month: August
Bibtex Type: Article (article)
DOI: 10.1007/s10827-022-00827-7
State: Published
Electronic Archiving: grant_archive

BibTex 

@article{Oesterleetal22,
  title = {Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models},
  journal = {Journal of Computational Neuroscience},
  volume = {50},
  number = {4},
  pages = {485--503},
  month = aug,
  year = {2022},
  slug = {oesterleetal22},
  author = {Oesterle, J. and Kr{\"a}mer, N. and P., Hennig and Berens, P.},
  month_numeric = {8}
}