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Python toolkit for analysis, visualization, and comparison of spike sorting output

Project description

Build Status PyPI version


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.

Getting Started

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 file.

git clone
cd spikecomparison
python install


For more information about how to use SpikeComparison, please checkout these examples.


All documentation for SpikeInterface can be found here:


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

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spikecomparison-0.2.2.tar.gz (21.6 kB view hashes)

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