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

This version

3.0.3

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

efel-3.0.3.tar.gz (85.5 kB view details)

Uploaded Source

File details

Details for the file efel-3.0.3.tar.gz.

File metadata

  • Download URL: efel-3.0.3.tar.gz
  • Upload date:
  • Size: 85.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-3.0.3.tar.gz
Algorithm Hash digest
SHA256 c46359404ea7d0b132ff4d9483b11066a72b69722c8870ad7cc62a748bdc81c4
MD5 c508dd10b5a3f0ace8ea831ba1fb4f6c
BLAKE2b-256 89d9729dff0a9b0f45339bdf05f8b88d0aa63d8045e333fbec2426c1ac733aa8

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