eFEL

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Authors: Rajnish Ranjan, Werner A. H. Van Geit, Ruben Moor, Christian Rössert, Juan Luis Riquelme, Tanguy Damart, Aurélien Tristan Jaquier, Anil Tuncel, Darshan Mandge, İlkan Kılıç
Cited by: 1

Abstract

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.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 April 2026