SpikeInterface: a unified framework for spike sorting
| Latest Release |
|
| Documentation |
|
| License |
|
| Build Status |
|
| Codecov |
|
| @spikeinterface |
SpikeInterface is a Python framework designed to unify preexisting spike sorting technologies into a single code base.
With SpikeInterface, users can:
- read/write many extracellular file formats.
- pre-process extracellular recordings.
- run many popular, semi-automatic spike sorters (also in Docker/Singularity containers).
- post-process sorted datasets.
- compare and benchmark spike sorting outputs.
- compute quality metrics to validate and curate spike sorting outputs.
- visualize recordings and spike sorting outputs in several ways (matplotlib, sortingview, in jupyter)
- export report and export to phy
- offer a powerful Qt-based viewer in separate package spikeinterface-gui
- have some powerful sorting components to build your own sorter.
Please have a look at the eLife paper that describes in detail this project
You can also have a look at the spikeinterface-gui.
Documentation
All documentation for spikeinterface can be found here.
Some useful jupyter notebook tutorials can be found in spiketutorials.
There are also some useful notebooks on our blog that cover advanced benchmarking and sorting components.
How to install spikeinteface
You can install the new spikeinterface version with pip:
pip install spikeinterface[full]
The [full] option installs all the extra dependencies for all the different sub-modules.
To install all interactive widget backends, you can use:
pip install spikeinterface[full, widgets]
To get the latest updates, you can install spikeinterface from sources:
git clone https://github.com/SpikeInterface/spikeinterface.git
cd spikeinterface
pip install -e .
cd ..
Citation
If you find SpikeInterface useful in your research, please cite:
@article{buccino2020spikeinterface,
title={SpikeInterface, a unified framework for spike sorting},
author={Buccino, Alessio Paolo and Hurwitz, Cole Lincoln and Garcia, Samuel and Magland, Jeremy and Siegle, Joshua H and Hurwitz, Roger and Hennig, Matthias H},
journal={Elife},
volume={9},
pages={e61834},
year={2020},
publisher={eLife Sciences Publications Limited}
}
Release files for spikeinterface 0.96.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spikeinterface-0.96.1.tar.gz | 412.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spikeinterface-0.96.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.0 MB
Release files / spikeinterface-0.96.1.tar.gz
| Download URL | spikeinterface-0.96.1.tar.gz |
|---|---|
| Size | 412.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
10999cd49313ae686c4a061d6ec0350bc1dd110be71f60e3870eaddd85c5bd2a
|
|
BLAKE2b-256 checksum How to use checksums |
89c14eb993732a018af436a254046e50adffeb08357bcc35ed58e6fcc62cd743
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
Release files / spikeinterface-0.96.1-py3-none-any.whl
| Download URL | spikeinterface-0.96.1-py3-none-any.whl |
|---|---|
| Size | 594.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0578715ba679998502f74a44f6c2fc4b725681601866eebbf8bdf1bbc3ac1655
|
|
BLAKE2b-256 checksum How to use checksums |
4c303ebadeadb24c194510e74984ade39734aedc3d94def04fcf38c920150b0c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.14
|
