[SciPy-User] [ANN] release of Neo 0.2.0
Mon Feb 13 03:09:11 CST 2012
Dear scipy list,
We are proud to announce the 0.2.0 release ofNeo
<http://neuralensemble.org/neo>, a Python library for working with
electrophysiology data, whether from biological experiments or from
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 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
thequantities <http://pypi.python.org/pypi/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.
fromPyPI <http://pypi.python.org/pypi/neo>or from theINCF Software
CNRS - UMR5292 - INSERM U1028 - Universite Claude Bernard LYON 1
Equipe R et D
50, avenue Tony Garnier
69366 LYON Cedex 07
Tél : 04 37 28 74 24
Fax : 04 37 28 76 01
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