OpenElectrophy: an electrophysiological data- and analysis-sharing framework
Résumé
Progress in experimental tools and design is allowing the acquisition of increasingly large datasets. Storage, manipulation and efficient analyses of such large amounts of data is now a primary issue. We present OpenElectrophy, an electrophysiological data and analysis sharing framework developed to fill this niche. Based on the object-oriented language Python, it stores all experiment data and meta-data in a single central SQL-type database. It also provides a graphic user interface to visualize and explore the data, and a library of functions for user analysis scripting in Python. It implements multiple spike sorting methods, and oscillation detection based on the ridge extraction method due to Roux et. al. [1]. OpenElectrophy is open-source and is freely available for download at http://neuralensemble.org/trac/OpenElectrophy.
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