Python wrappers for popular spike sorters
Project description
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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