Skip to main content

OpenElectrophy : an electrophysiological data- and analysis-sharing framework

Project description

OpenElectrophy is a python module for electrophysioly data analysis (intra- and extra-cellular).
OpenElectrophy is build on top of Neo :
* It includes the powerful Neo IO that can read a quantity of data formats (Plexon, NeuroExplorer, Spike2, TDT, Axon, BlackRock, ...)
* Neo object ready for analyses (AnalogSIgnal, SpikeTrain, RecordingChannel, Segment, Block ...)

But OpenElectrophy also provide:
* A GUI for exploring dataset
* A complete offline spikesorting tool chain = GUI and/or command line.
* A timefrequency toolbox = fast wavelet scalogram plotting + transient oscillation in LFP detection.
* Viewers for neo objects.
* A database for storage.

Project details


Download files

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

Source Distribution

OpenElectrophy-0.3.1.tar.gz (755.9 kB view details)

Uploaded Source

File details

Details for the file OpenElectrophy-0.3.1.tar.gz.

File metadata

File hashes

Hashes for OpenElectrophy-0.3.1.tar.gz
Algorithm Hash digest
SHA256 000d7351bce5ade98b8003c5a86c41e0ab23411862a5ba98469e48f58a21945e
MD5 b445e3e958891ca9557e8690eb6b5265
BLAKE2b-256 174228092fddba489f86eee89c7666f9d02b7d4139065646709db783bb452e8e

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