Python widgets for spike sorting and electrophysiology
SpikeWidgets is a package of the SpikeInterface project that was designed for visualization of various aspects of the spike sorting pipeline. The widgets include: raster plots, autocorrelograms, crosscorrelograms, isi distributions, and more.
To get started with SpikeWidgets, you can install it with pip:
pip install spikewidgets
You can also get SpikeWidgets through the spikeinterface package:
pip install spikeinterface
You can also install SpikeWidgets locally by cloning the repo into your code base. If you install SpikeWidgets locally, you need to run the setup.py file.
git clone https://github.com/SpikeInterface/spikewidgets.git cd spikewidgets python setup.py install
For more information about how to use SpikeWidgets, please checkout these examples.
All documentation for SpikeInterface can be found here: https://spikeinterface.readthedocs.io/en/latest/.
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 email@example.com
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