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-2.7.post0.dev15.tar.gz (76.7 kB view details)

Uploaded Source

File details

Details for the file efel-2.7.post0.dev15.tar.gz.

File metadata

File hashes

Hashes for efel-2.7.post0.dev15.tar.gz
Algorithm Hash digest
SHA256 ca8ba893504c124ff2302c1d870ddac081c34329b95209ba63ab94e7d53aea1d
MD5 f35804c98012e74fe4bf8144ca57a0a1
BLAKE2b-256 d469b68cab298a607edf1204cb5d31f1567348f7577383680e7836aac456135a

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