GPL-Style Open Source Yes CNRS NITRC OpenElectrophy Yes The OpenElectrophy project aims to simplify data- and analysis-sharing for intra- and extra-cellular recordings. 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. OpenElectrophy EEG/MEG, GPL-Style Open Source http://www.nitrc.org/projects/openelectrophy/, http://neuralensemble.org/OpenElectrophy/