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-2.6.21.tar.gz (61.5 kB view details)

Uploaded Source

File details

Details for the file efel-2.6.21.tar.gz.

File metadata

  • Download URL: efel-2.6.21.tar.gz
  • Upload date:
  • Size: 61.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.6.21.tar.gz
Algorithm Hash digest
SHA256 48ad6f29bb728cdb997cd1d140a121d5b06c4e1f9d0291fc75eca47d95e5de78
MD5 861c15cddd3e7152fce3e5296f91af53
BLAKE2b-256 c5aec30604a2d42e0bfd827fd20ea5624a171a5d631fed7e578fc3edd13c0640

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