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Electrophys Feature Extraction Library
======================================
The Electrophys Feature Extract Library (eFEL) allows neuroscientists to
automatically extract eFeatures from time series data recorded from neurons
(both in vitro and in silico). Examples are the action potential width and
amplitude in voltage traces recorded during whole-cell patch clamp experiments.
The user of the library provides a set of traces and selects the eFeatures to be
calculated. The library will then extract the requested eFeatures and return the
values to the user.

The core of the library is written in C++, and a Python wrapper is included.
At the moment we provide a way to automatically compile and install the library
as a Python module. Soon instructions will be added on how to link C++ code
directly with the eFEL.

The source code of the eFEL is located on github:
`BlueBrain/eFEL <https://github.com/BlueBrain/eFEL>`_

.. toctree::
   :maxdepth: 3

   installation
   examples
   eFeatures
   api
   developers

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`