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-2.11.7.tar.gz (77.9 kB view details)

Uploaded Source

File details

Details for the file efel-2.11.7.tar.gz.

File metadata

  • Download URL: efel-2.11.7.tar.gz
  • Upload date:
  • Size: 77.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.11.7.tar.gz
Algorithm Hash digest
SHA256 18c6d03cad6eb4b734e5d2acf18402afe7ab520b27f8295de40c0ea938ae0873
MD5 427dc94836c3762c9a2f91f300584f7d
BLAKE2b-256 42ed53e28fb976294bf2992854383c28fe44ee67d2bb3790b3c31ce5d6a168f7

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