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spack.io : py-efel
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.
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purl: pkg:spack/py-efel
Keywords: computational-neuroscience, electrophysiology, neurons, neuroscience, python
License: Other
Latest release: 7 months ago
First release: 7 months ago
Dependent packages: 3
Stars: 58 on GitHub
Forks: 38 on GitHub
Total Commits: 610
Committers: 21
Average commits per author: 29.048
Development Distribution Score (DDS): 0.441
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Last synced: 2 days ago