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 http://brian2modelfitting.readthedocs.org
Brian2modelfitting is released under the terms of the CeCILL 2.1 license.
Please report issues at the github issue tracker (https://github.com/brian-team/brian2/issues) or at the brian support mailing list (http://groups.google.com/group/briansupport/)
Installation
Module can be installed with pypi: ` pip install brian2modelfitting `
Testing status
[](https://travis-ci.org/brian-team/brian2modelfitting) [](https://coveralls.io/github/brian-team/brian2modelfitting?branch=master)
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](https://travis-ci.org/brian-team/brian2modelfitting){kind=link}
](https://coveralls.io/github/brian-team/brian2modelfitting){kind=link}