BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

@article{Geit2016BluePyOptLO,
  title={BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience},
  author={Werner Van Geit and Michael Gevaert and Giuseppe Chindemi and Christian A. R{\"o}ssert and Jean-Denis Courcol and Eilif B. M{\"u}ller and Felix Sch{\"u}rmann and Idan Segev and Henry Markram},
  journal={Frontiers in Neuroinformatics},
  year={2016},
  volume={10}
}
At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parameterizing such models to conform to the multitude of available experimental constraints is a global non-linear optimisation problem with a complex fitness landscape, requiring numerical techniques to find suitable approximate solutions. Stochastic optimisation approaches, such as evolutionary algorithms, have been shown to be effective, but often the setting up of such optimisations… 

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