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BluePyEfe aims at easing the process of reading experimental recordings and extracting batches of efeatures from these recordings. To do so, it combines trace reading functions and features extraction functions from the eFel library.

BluePyEfe outputs protocols and features files in the format used by BluePyOpt for neuron electrical model building.

• Python 3.6+ (still compatible with Python 2.7+)
• Pip (installed by default in newer versions of Python)
• eFEL eFeature Extraction Library (automatically installed by pip)
• Numpy (automatically installed by pip)
• Pandas (automatically installed by pip)
• Scipy (automatically installed by pip)
• Neo (automatically installed by pip)
• The instruction below are written assuming you have access to a command shell on Linux / UNIX / MacOSX / Cygwin

To install BluePyEfe, clone the repository, enter the resulting directory, and run:

pip install -e .

For a quick start, have a look at the notebook examples/example.ipynb

This work has been partially funded by the European Union Seventh Framework Program (FP7/2007­2013) under grant agreement no. 604102 (HBP), the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 720270, 785907 (Human Brain Project SGA1/SGA2).