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-2.3.36.tar.gz (58.7 kB view details)

Uploaded Source

File details

Details for the file efel-2.3.36.tar.gz.

File metadata

  • Download URL: efel-2.3.36.tar.gz
  • Upload date:
  • Size: 58.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.3.36.tar.gz
Algorithm Hash digest
SHA256 5b22214b8a514ca0f80c16f1de5a9061a64029df3d6d65a1b6ec5442a212e35c
MD5 dfd25f107ff5d1dd2f83b3075a1171f6
BLAKE2b-256 f1167e784b22b76db5c2d9c47e620b03a530f24b71d6434f6f1e552d6d766492

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