Skip to main content

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

spikesorters-0.4.4.tar.gz (64.1 kB view details)

Uploaded Source

File details

Details for the file spikesorters-0.4.4.tar.gz.

File metadata

  • Download URL: spikesorters-0.4.4.tar.gz
  • Upload date:
  • Size: 64.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/54.1.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.6.7

File hashes

Hashes for spikesorters-0.4.4.tar.gz
Algorithm Hash digest
SHA256 0d77978cc21ff5c5b815248a8c650d92e33049441c375edd4f76c92fc9471815
MD5 a96f128be7f3ce2054c23a5626ff50d0
BLAKE2b-256 4093caf5984db7d4d4246c0e951ee96c525b23eaa2f9e7e69263bbb8e4b036c3

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page