Skip to main content

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

efel-2.3.64.tar.gz (59.7 kB view details)

Uploaded Source

File details

Details for the file efel-2.3.64.tar.gz.

File metadata

  • Download URL: efel-2.3.64.tar.gz
  • Upload date:
  • Size: 59.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.3.64.tar.gz
Algorithm Hash digest
SHA256 2b6b49f5c29c4658d6e6775923dc4120d17bb41cfda862eb53fb1391a61f67b4
MD5 9760de3417a6c35ced4df9085780bc61
BLAKE2b-256 0c95c14b6422e852be74cf0008b3c6d3bf05dd850ea1e8b22f57640781eefe73

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page