{ "info": { "author": "Aleksandra Teska, Marcel Stimberg, Romain Brette, Dan Goodman", "author_email": "team@briansimulator.org", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Science/Research", "License :: OSI Approved :: CEA CNRS Inria Logiciel Libre License, version 2.1 (CeCILL-2.1)", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "brian2modelfitting\n==================\n\n\nModel Fitting Toolbox for Brian 2 simulator, to allow the user to find the best fit of the parameters for recorded traces and spike trains.\n\nBy 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).\n\nDocumentation for Brian2modelfitting can be found at http://brian2modelfitting.readthedocs.org\n\nBrian2modelfitting is released under the terms of the CeCILL 2.1 license.\n\nPlease 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/)\n\n\nInstallation\n------------\nModule can be installed with pypi:\n```\npip install brian2modelfitting\n```\n\n\nTesting status\n--------------\n[![Build Status](https://travis-ci.org/brian-team/brian2modelfitting.svg?branch=master)](https://travis-ci.org/brian-team/brian2modelfitting) \n[![Coverage Status](https://coveralls.io/repos/github/brian-team/brian2modelfitting/badge.svg?branch=dev)](https://coveralls.io/github/brian-team/brian2modelfitting?branch=dev)", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": 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