NeuraPy is a collection of python modules useful for analyzing data obtained in neurophysiological experiments.
- cerebus - a package for loading .nev and .nsx files saved by BlackRock's Cerebus software
- lablib - a package for loading lablib data files
- monkeylogic - a package for loading data files saved by the MonkeyLogic program
- neuralynx - a package for reading files produced by neuralynx boxes
- neuroexplorer - a package for reading/writing .nex files for the neuroexplorer/offline sorter programs
- signal - a package for processing sampled continuous signals (filtering etc.)
- nframe - a package (framework) using Pandas DataFrame objects for processing neural data in concert with epoch based behavioral data
- Grab the latest code from the zip package or grab it from github by doing
git git://github.com/kghose/neurapy.git
- Add the directory containing
neurapy
to your modules path (e.g by adding a line to one of your .pth files) - Some of the modules make use of the matplotlib package, which should be installed
Typically, from your script, you will import one of the sub-modules e.g
from neurapy.lablib import lablib as ll
For module specific instructions look at the readme files in each module's directory and look at the documentation in the source
neurapy is available for download for neurophysiologists in the hope that the programs may of use to other researchers. No claim is made that the code works and is free of bugs, but I would appreciate bug reports ([email protected])
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This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
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This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
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