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-2.10.118.tar.gz (76.4 kB view details)

Uploaded Source

File details

Details for the file efel-2.10.118.tar.gz.

File metadata

  • Download URL: efel-2.10.118.tar.gz
  • Upload date:
  • Size: 76.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for efel-2.10.118.tar.gz
Algorithm Hash digest
SHA256 234a88441bf3949b33b9c3406306ed21ad7846acb7cd2f5d96cfad9a74854a22
MD5 0c1f3dd69c9fbed06ac3e736e82384d9
BLAKE2b-256 6d6b4eb001d542a93bbbba45ae2f133af751554e723159219559d003f7299d6b

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