Python toolkit for analysis, visualization, and comparison of spike sorting output
SpikeComparison is a package of the SpikeInterface project that was designed to compare and benchmark the output of spike sorting algorithms. SpikeComparison provides functionality for comparisons of outputs with and without ground truth.
To get started with SpikeComparison, you can install it with pip:
pip install spikecomparison
You can also get SpikeComparison through the spikeinterface package:
pip install spikeinterface
You can also install SpikeComparison locally by cloning the repo into your code base. If you install SpikeComparison locally, you need to run the setup.py file.
git clone https://github.com/SpikeInterface/spikecomparison.git cd spikecomparison python setup.py install
For more information about how to use SpikeComparison, please checkout these examples.
All documentation for SpikeInterface can be found here: https://spikeinterface.readthedocs.io/en/latest/.
Samuel Garcia - Centre de Recherche en Neuroscience de Lyon (CRNL), Lyon, France
Alessio Paolo Buccino - Center for Inegrative Neurolasticity (CINPLA), Department of Biosciences, Physics, and Informatics, University of Oslo, Oslo, Norway
Cole Hurwitz - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland
Jeremy Magland - Center for Computational Biology (CCB), Flatiron Institute, New York, United States
Matthias Hennig - The Institute for Adaptive and Neural Computation (ANC), University of Edinburgh, Edinburgh, Scotland
For any correspondence, contact Samuel Garcia firstname.lastname@example.org
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