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-3.0.5.tar.gz (85.5 kB view details)

Uploaded Source

File details

Details for the file efel-3.0.5.tar.gz.

File metadata

  • Download URL: efel-3.0.5.tar.gz
  • Upload date:
  • Size: 85.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-3.0.5.tar.gz
Algorithm Hash digest
SHA256 bc057d5c06d24fa20e37636cd5e6451be76f809fc5a74a14b3808cb596ae9b05
MD5 278253ad787a92f366ba7164733b6bb5
BLAKE2b-256 102093e1b08d6fbe3b9d91db0205dd431164b6c3526b4298f26021aeebca66d2

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