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-2.11.35.tar.gz (80.2 kB view details)

Uploaded Source

File details

Details for the file efel-2.11.35.tar.gz.

File metadata

  • Download URL: efel-2.11.35.tar.gz
  • Upload date:
  • Size: 80.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.11.35.tar.gz
Algorithm Hash digest
SHA256 7c9e1f20aa82f5bab061b1bb4ca2bf28a3e6e3eaab37046a70ec5a6cdde5262b
MD5 8d42cff53a5a5982b4082b6655876176
BLAKE2b-256 4b2923427aa2c42aa48549daffbe43a2db43a56567307993fa3a629efad42559

See more details on using hashes here.

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