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-2.10.129.tar.gz (76.8 kB view details)

Uploaded Source

File details

Details for the file efel-2.10.129.tar.gz.

File metadata

  • Download URL: efel-2.10.129.tar.gz
  • Upload date:
  • Size: 76.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.10.129.tar.gz
Algorithm Hash digest
SHA256 9fd04e957008268f059a08de37968c9528b0a4e73aa025c94bb7bab0e7df8387
MD5 2061d1f765c0e79b0386f3eddbc202f0
BLAKE2b-256 5e9dbc42ee685b2a6a83d2d0a86cc9f9d0add48688221b1d9157ca44851dfc70

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page