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Electrophys Feature Extract Library (eFEL)

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 History

This version
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2.13.1

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2.12.11

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2.12.9

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2.12.6

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2.12.4

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2.11.52

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
efel-2.13.1.tar.gz (81.3 kB) Copy SHA256 Checksum SHA256 Source Nov 14, 2017

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