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-2.6.12.tar.gz (61.5 kB view details)

Uploaded Source

File details

Details for the file efel-2.6.12.tar.gz.

File metadata

  • Download URL: efel-2.6.12.tar.gz
  • Upload date:
  • Size: 61.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.6.12.tar.gz
Algorithm Hash digest
SHA256 02e99ee71b5850ed4faab80db12704194ee6ac061cb0f79ee37c7458a28a3889
MD5 5645390b01610ae90b57726b21a12888
BLAKE2b-256 bf6c0f70c11e5322d5068dea5c99e867f7fd0e11835d3421eb0175c3c229a7f7

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