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Front Neuroinform. 2013 Nov 11;7:26. doi: 10.3389/fninf.2013.00026. eCollection 2013.

Spyke Viewer: a flexible and extensible platform for electrophysiological data analysis.

Author information

1
Department of Software Engineering and Theoretical Computer Science, Neural Information Processing Group, TU Berlin Berlin, Germany ; Bernstein Center for Computational Neuroscience Berlin, Germany.

Abstract

Spyke Viewer is an open source application designed to help researchers analyze data from electrophysiological recordings or neural simulations. It provides a graphical data browser and supports finding and selecting relevant subsets of the data. Users can interact with the selected data using an integrated Python console or plugins. Spyke Viewer includes plugins for several common visualizations and allows users to easily extend the program by writing their own plugins. New plugins are automatically integrated with the graphical interface. Additional plugins can be downloaded and shared on a dedicated website.

KEYWORDS:

data analysis; data sharing; electrophysiology; python; software; spike sorting; visualization

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