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-2.6.32.tar.gz (61.5 kB view details)

Uploaded Source

File details

Details for the file efel-2.6.32.tar.gz.

File metadata

  • Download URL: efel-2.6.32.tar.gz
  • Upload date:
  • Size: 61.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.6.32.tar.gz
Algorithm Hash digest
SHA256 878abec2c8e4ebfe4b197b10c4cc0520f6a47946dd1a09ae4282cb817f77ee3f
MD5 3275ea87d18c83b30186dbe294dbdf23
BLAKE2b-256 d75775e77f2612ef791005bc6a70d2cfff453a2a445e8e78173382ce75c4a956

See more details on using hashes here.

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