AUTHOR=Garcia Samuel , Fourcaud-Trocmé Nicolas 

TITLE=OpenElectrophy: an electrophysiological data- and analysis-sharing framework

JOURNAL=Frontiers in Neuroinformatics

VOLUME=3

YEAR=2009

URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/neuro.11.014.2009

DOI=10.3389/neuro.11.014.2009

ISSN=1662-5196

ABSTRACT=<p>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. It stores all experiment data and meta-data in a single central MySQL database, and 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 methods due to Roux et al. (<xref ref-type="bibr" rid="B8">2007</xref>). OpenElectrophy is open source and is freely available for download at <uri xlink:href="http://neuralensemble.org/trac/OpenElectrophy" xmlns:xlink="http://www.w3.org/1999/xlink">http://neuralensemble.org/trac/OpenElectrophy</uri>.</p>