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Modelfitting Toolbox for the Brian 2 simulator

Project description

Model Fitting Toolbox for Brian 2 simulator, to allow the user to find the best fit of the parameters for recorded traces and spike trains.

By default, we support a range of global derivative-free optimization methods, that include popular methods for model fitting, such as: Differential Evolution, Particle Swarm Optimization and Covariance Matrix Adaptation (provided by the Nevergrad) as well as Bayesian Optimization for black box functions (provided by Scikit-Optimize).

Documentation for Brian2modelfitting can be found at

Brian2modelfitting is released under the terms of the CeCILL 2.1 license.

Please report issues at the github issue tracker ( or at the brian support mailing list (


Module can be installed with pypi: ` pip install brian2modelfitting `

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brian2modelfitting-0.4.tar.gz (236.0 kB view hashes)

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