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Samuel Garcia
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Neo and OpenElectrophy
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flier/eppy-handout.tex

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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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%_________________________________neo_______________________________________
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\ndproject{Neo}{http://packages.python.org/neo/}{neo_logo.png}{.2}{-0.25em}{0em}
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Neo is a package for representing electrophysiology data in Python, together with support
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for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer,
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AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these
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formats plus non-proprietary formats including HDF5.
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The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing
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and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node,
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Helmholtz, PyNN) by providing a common, shared object model. In order to be as
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lightweight a dependency as possible, Neo is deliberately limited to represention of data,
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with no functions for data analysis or visualization.
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Neo implements a hierarchical data model well adapted to intracellular and extracellular
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electrophysiology and EEG data with support for multi-electrodes (for example tetrodes).
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Neo's data objects build on the quantities package, which in turn builds on NumPy by
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adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays,
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but with additional metadata, checks for dimensional consistency and automatic unit conversion.
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A project with similar aims but for neuroimaging file formats is NiBabel.
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%____________________OpenElectrophy______________________________________
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\ndproject{OpenElectrophy}{http://packages.python.org/OpenElectrophy/}{OpenElectrophy_logo.png}{.2}{-0.25em}{0em}
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OpenElectrophy is build on top of neo.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item A GUI on top of neo.
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\item A collection of method for spike sorting and powerfull GUI.
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\item A wavelet method for analysing transient oscillations in LFP.
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\item A customisable database to organize datasets.
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\end{itemize}
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%___________________________________________________________________________
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%___________________________________________________________________________
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\ndsection{Metadata Management}%

pics/OpenElectrophy_icon.png

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pics/OpenElectrophy_logo.png

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pics/neo_logo.png

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