Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.
The goal of Neo is to improve interoperability between Python tools for analyzing, visualizing and generating electrophysiology data (such as OpenElectrophy, NeuroTools, G-node, Helmholtz, PyNN) by providing a common, shared object model. In order to be as lightweight a dependency as possible, Neo is deliberately limited to represention of data, with no functions for data analysis or visualization.
Neo implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data with support for multi-electrodes (for example tetrodes).
A project with similar aims but for neuroimaging file formats is NiBabel.
Documentation
Download
- Stable version (0.2): http://pypi.python.org/pypi/neo/
- Development version: available using svn
svn checkout https://neuralensemble.org/svn/neo/trunk
License
Neo is distributed under a BSD licence.
Contributing
The people behind the project are very open to discussion. Any feedback is gladly received and highly appreciated! Discussion of Neo takes place on the NeuralEnsemble mailing list:
http://groups.google.com/group/neuralensemble
