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Description

The Electrophys Feature Extraction Library (eFEL) allows neuroscientists to automatically extract features 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 features to be calculated. The library will then extract the requested features 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.

Repository

https://github.com/BlueBrain/eFEL.git

Project Slug

efel

Last Built

1 month ago passed

Maintainers

Home Page

https://github.com/BlueBrain/eFEL

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Tags

python, neuroscience, electrophysiology, computational-neuroscience, neurons

Project Privacy Level

Public

Short URLs

efel.readthedocs.io
efel.rtfd.io

Default Version

latest

'latest' Version

master