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-2.10.28.tar.gz (77.2 kB view details)

Uploaded Source

File details

Details for the file efel-2.10.28.tar.gz.

File metadata

  • Download URL: efel-2.10.28.tar.gz
  • Upload date:
  • Size: 77.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.10.28.tar.gz
Algorithm Hash digest
SHA256 9b155372c0da8c9534f5d760b12c6e7f5fd0d273aaf97bb6e6f591abfed6f5c8
MD5 47cc8cc8ed3a14e38007bb1706efef50
BLAKE2b-256 e11c4503df26571b2fe71ee7b7dfd70ed490451bff9fc0b397965122517efb3a

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