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-2.10.59.tar.gz (75.4 kB view details)

Uploaded Source

File details

Details for the file efel-2.10.59.tar.gz.

File metadata

  • Download URL: efel-2.10.59.tar.gz
  • Upload date:
  • Size: 75.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.10.59.tar.gz
Algorithm Hash digest
SHA256 93867f7cd9f3d94265b53c81078282fdce497bdc7605bab35c883eb1138642a4
MD5 03c89c0b14e5802550f9b85bcc1383c0
BLAKE2b-256 449cae699fdd97b72f428a5dc22115f0b7394ad690383ad40655cfaea3d46240

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