20 lines
1.2 KiB
Plaintext
20 lines
1.2 KiB
Plaintext
Neo is a package for representing electrophysiology data in Python, together
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with support for reading a wide range of neurophysiology file formats, including
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Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for
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writing to a subset of these formats plus non-proprietary formats including
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HDF5.
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The goal of Neo is to improve interoperability between Python tools for
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analyzing, visualizing and generating electrophysiology data (such as
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OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common,
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shared object model. In order to be as lightweight a dependency as possible,
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Neo is deliberately limited to represention of data, with no functions for data
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analysis or visualization.
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Neo implements a hierarchical data model well adapted to intracellular and
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extracellular electrophysiology and EEG data with support for multi-electrodes
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(for example tetrodes). Neo's data objects build on the quantities_ package,
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which in turn builds on NumPy by adding support for physical dimensions. Thus
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neo objects behave just like normal NumPy arrays, but with additional metadata,
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checks for dimensional consistency and automatic unit conversion.
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