Electrophys Feature Extract Library (eFEL)
Maintainers
Project description
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.
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| efel-3.0.22.tar.gz (85.9 kB) Copy SHA256 hash SHA256 | Source | None | Aug 3, 2018 |
