.. module:: neo .. image:: images/neologo.png :width: 600 px 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). Neo's data objects build on the quantities_ package, which in turn builds on NumPy by adding support for physical dimensions. Thus Neo objects behave just like normal NumPy arrays, but with additional metadata, checks for dimensional consistency and automatic unit conversion. A project with similar aims but for neuroimaging file formats is `NiBabel`_. Documentation ------------- .. toctree:: :maxdepth: 1 install core usecases io examples api_reference whatisnew developers_guide io_developers_guide authors License ------- Neo is distributed under a 3-clause Revised BSD licence (BSD-3-Clause). Contributing ------------ The people behind the project (see :doc:`authors`) are very open to discussion. Any feedback is gladly received and highly appreciated! Discussion of Neo takes place on the `NeuralEnsemble mailing list `_. `Source code `_ is on GitHub. The `bug tracker `_ is at:: https://github.com/NeuralEnsemble/python-neo/issues .. _OpenElectrophy: https://github.com/OpenElectrophy/OpenElectrophy .. _NeuroTools: http://neuralensemble.org/NeuroTools .. _G-node: http://www.g-node.org/ .. _Neuroshare: http://neuroshare.org/ .. _Helmholtz: https://www.dbunic.cnrs-gif.fr/documentation/helmholtz/ .. _NiBabel: http://nipy.sourceforge.net/nibabel/ .. _PyNN: http://neuralensemble.org/PyNN .. _quantities: http://pypi.python.org/pypi/quantities