We are delighted to announce the first (beta) release of the brian2modelfitting package, a model fitting toolbox for Brian 2. This toolbox enables you to fit a Brian 2 single cell model to spike train or trace data (e.g. from current-clamp or voltage-clamp recordings). Models can be simultaneously optimized over several inputs (e.g. currents), using global, gradient-free optimization methods (provided by the Nevergrad package), or using Bayesian optimization (provided by scikit-optimize).
The package can be installed from pypi (note that the package requires Python 3):
pip install brian2modelfitting
Please have a look at the documentation for more details: https://brian2modelfitting.readthedocs.io/
This project is the result of Aleskandra Teska's hard work over the summer as part of the Google Summer of Code 2019 (under the umbrella of the INCF organization). Since this is a first release, there are certainly still bugs and small inconveniences, do not hesitate to let us know via the github bug tracker. For more general discussions, also feel free to start a discussion on the brian-de...@googlegroups.com mailing list.
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