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)
3 maintainers
Release files for brian2modelfitting 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| brian2modelfitting-0.4.tar.gz | 236.0 kB | Details |
Release files / brian2modelfitting-0.4.tar.gz
| Download URL | brian2modelfitting-0.4.tar.gz |
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| Size | 236.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0.post20191101 requests-toolbelt/0.9.1 tqdm/4.46.1 CPython/3.8.0
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](https://travis-ci.org/brian-team/brian2modelfitting){kind=link}
](https://coveralls.io/github/brian-team/brian2modelfitting){kind=link}