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Rework wording of odML and Neuroshare Tools
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flier/eppy-handout.tex

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Paris, Aug. 2011.}
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\ndproject{Neuroshare Tools}{http://g-node.org/neuroshare-tools}{bccn_ns.png}{.2}{-0.25em}{0em}
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\ndproject{Neuroshare Tools}{http://g-node.org/neuroshare-tools}{G-Node_neuroshare.png}{.2}{-0.25em}{0em}
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Neuroshare is a standardized API for accessing
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neurophysiology data stored in vendor-specific binary formats
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in a vendor-neutral way.
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Neuroshare is a standardized API for accessing neurophysiology
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data stored in vendor-specific binary formats in a vendor-neutral
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way. The G-Node Neuroshare Tools provide libraries and utilities
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built on Neuroshare and Python to work with Neuroshare compatible
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files on various platforms.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item Access neuroshare compatible files directly from Python
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\item Convert any data file supported by neuroshare to the HDF5 format
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\item Automatically detects file types and loads the corresponding neuroshare libraries
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\item Use 32-bit MS Windows libraries under Linux \& Mac OS X with nsWineProxy
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\item High-level pythonic API that hides the details of the underlying C API
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\item Support for Linux and Mac OS X
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\item High-level Python library to access Neuroshare compatible data-files
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\item Automatically detects file types and loads the corresponding vendor library
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\item Support for GNU/Linux, MacOS~X, and Windows
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\item Neuroshare-WineProxy enables the use of vendor libraries for Windows under GNU/Linux and MacOS~X
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\item Comes with a tool to convert any data file supported by Neuroshare to the HDF5 format
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\end{itemize}
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Use the {open metadata Markup Language} to annotate data with information about the stimulus, data acquisition, and experimental conditions.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item Developer friendly libraries for Python \& Java
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\item Fully functional editor for Linux, Windows \& MacOS X
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\item Developer friendly libraries for Python and Java
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\item Fully functional graphical editor for Linux, Windows, and MacOS~X
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\item Support for the latest odML specification
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\end{itemize}
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