Software Open Access
eFEL 2.5
Werner Van Geit; Ruben Moor; Rajnish Ranjan; Luis Riquelme; Christian Roessert
The Electrophys Feature Extract 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.
Files
(1.7 MB)
| Name | Size | |
|---|---|---|
| eFEL-2.5.zip md5:ccebc1e1999e86768f87397dda63c46d |
1.7 MB | Download |
Available in
- Publication date:
- August 3, 2015
- DOI:
-
- Keyword(s):
- electrophysiology neuroscience feature extraction
- Related identifiers:
- Supplement to:
https://github.com/BlueBrain/eFEL/tree/2.5 - License (for files):
- GNU Lesser General Public License 3.0