SpykeViewer

It is based on the Neo library, which enables it to load a wide variety of data formats used in electrophysiology. At its core, Spyke Viewer includes functionality for navigating Neo object hierarchies and performing operations on them.

A central design goal of Spyke Viewer is flexibility. For this purpose, it includes an embedded Python console for exploratory analysis, a filtering system, and a plugin system. Filters are used to semantically define data subsets of interest. Spyke Viewer comes with a variety of plugins implementing common neuroscientific plots (e.g. rasterplot, peristimulus time histogram, correlogram, and signal plot). Custom plugins for other analyses or plots can be easily created and modified using the integrated Python editor or external editors.

Users can download and share additional plugins and other extensions at the Spyke Repository. Among the extensions hosted at the site are plugins for spike detection and spike sorting.