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-2.9.10.tar.gz (77.0 kB view details)

Uploaded Source

File details

Details for the file efel-2.9.10.tar.gz.

File metadata

  • Download URL: efel-2.9.10.tar.gz
  • Upload date:
  • Size: 77.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.9.10.tar.gz
Algorithm Hash digest
SHA256 2cb15936cfdb1ab27b6f0c4c99d37d6901871ed94b85d3f6969d895d7c6bfc5d
MD5 babf765a54be13b5c73e1b1f41b87713
BLAKE2b-256 fafca48fb89204f85efa64d168547fa7a0befc95c2e88bcfd52159a5bd18ae51

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