OpenElectrophy

The OpenElectrophy project aims to simplify data- and analysis-sharing for intra- and extra-cellular recordings. In short with OpenElectrophy you will be able to play with neural signals, spikes and oscillations.

OpenElectrophy is a Python module for electrophysiology data analysis (intra- and extra-cellular). OpenElectrophy is built on top of Neo :

• It includes the powerful Neo IO that can read a large number of data formats (Plexon, NeuroExplorer, Spike2, TDT, Axon, BlackRock, ...)
• Neo objects ready for analyses (AnalogSIgnal, SpikeTrain, RecordingChannel, Segment, Block ...)

But OpenElectrophy also provides:

• A GUI for exploring datasets
• 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.

• Documentation
• Download
• Source code
• Mailing list
• Issue tracker

Licence: CeCILL-B