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Python wrappers for popular spike sorters

Project description

Build Status PyPI version

SpikeSorters

SpikeSorters is a package of the SpikeInterface project that provides wrappers for many popular spike sorting algorithms and a straightforward interface to run them.

Getting Started

To get started with SpikeSorters, you can install it with pip:

pip install spikesorters

You can also get SpikeSorters through the spikeinterface package:

pip install spikeinterface

You can also install SpikeSorters locally by cloning the repo into your code base. If you install SpikeSorters locally, you need to run the setup.py file.

git clone https://github.com/SpikeInterface/spikesorters.git
cd spikesorters
python setup.py install

Examples

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

Documentation

All documentation for SpikeInterface can be found here: https://spikeinterface.readthedocs.io/en/latest/.

Authors

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

Samuel Garcia - Centre de Recherche en Neuroscience de Lyon (CRNL), Lyon, France



For any correspondence, contact Alessio Buccino at alessiop.buccino@gmail.com

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