Changelog¶

Version 0.4.0¶

Correlogram plot supports new square plot matrix mode and count per second in addition to per segment.
New options in spike waveform plot.
DataProvider objects support transparent lazy loading for compatible IOs (currently only Hdf5IO).
DataProvider can be forced to use a certain IO instead of automatically determining it by file extension.
Load parameters for IOs can be specified in DataProvider.
IO class, IO parameters and IO plugins are saved in selections and properly used in startplugin.py
Qt implementation of ProgressBar available in plot.helper (moved from Spyke Viewer).
Loading support for IO plugins (moved from Spyke Viewer).

Added implementations for various spike train metrics.
Added generation functions for poisson spike trains
Added tools module with various utility functions, e.g. binning spike trains or removing objects from Neo hierarchies.
Added explained variance function to spike sorting quality assessment.
Improved legends for plots involving colored lines.
Plots now have a minimum size and scroll bars appear if the plots would become too small.
Renamed plot.ISI to plot.isi for consistency

Added “Home” and “Pan” tools for plots (useful when no middle mouse button is available).
Changed default grid in plots to show only major grid.
Added a method to DataProvider for refreshing views after object hierarchy changed.
New parameter for DataProvider AnalogSignal methods: AnalogSignalArrays can be automatically converted and returned.
Significantly improved speed of spike density estimation and optimal kernel size calculation.
Spike sorting quality assessment using gaussian clusters is now possible without prewhitening spikes or providing prewhitened means.
Renamed “spyke-plugin” script to “spykeplugin”

Initial documented public release.