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-2.4.13.tar.gz (60.9 kB view details)

Uploaded Source

File details

Details for the file efel-2.4.13.tar.gz.

File metadata

  • Download URL: efel-2.4.13.tar.gz
  • Upload date:
  • Size: 60.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.4.13.tar.gz
Algorithm Hash digest
SHA256 c05bba2155b6c213137595763ac2cf1e631e4dd39799a2702767c4344279dac7
MD5 49dac764e72cd7ff5efec9c66198324c
BLAKE2b-256 b936449fadbb6bf77a9a3ba77a744403fee4fd6a22881e1802c44911807700aa

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