https://github.com/brody-lab/jrclust

JRCLUST

https://github.com/brody-lab/jrclust

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: biorxiv.org, nature.com
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

JRCLUST

Basic Info
  • Host: GitHub
  • Owner: Brody-Lab
  • License: apache-2.0
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 78.7 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 1
  • Open Issues: 2
  • Releases: 0
Fork of JaneliaSciComp/JRCLUST
Created about 7 years ago · Last pushed over 1 year ago

https://github.com/Brody-Lab/JRCLUST/blob/main/

# JRCLUST

## Note

**JRCLUST is no longer being actively maintained.**
If you still want to use JRCLUST, we recommend using the [latest release](https://github.com/JaneliaSciComp/JRCLUST/releases/tag/v4.1.0) or cloning from `main`, rather than `master`.

JRCLUST is a scalable and customizable package for spike sorting on [high-density silicon probes](https://www.nature.com/articles/nature24636).
It is written in MATLAB and CUDA.

JRCLUST was originally developed by [James Jun](https://www.simonsfoundation.org/team/james-jun/).

## Installing JRCLUST

If you'd like to
test the latest development code, you can [clone the
repository](https://help.github.com/articles/cloning-a-repository/) to
your computer. If you want to stay on a release, head to the [releases
page](https://github.com/JaneliaSciComp/JRCLUST/releases) and download
the latest release.

Run the following command in MATLAB (you may want to add it to your [startup
script](https://www.mathworks.com/help/matlab/ref/startup.html)):

```matlab
addpath('/path/to/JRCLUST');
```

You may also need to recompile your CUDA codes if you're not on Windows.
Do this with

```matlab
jrclust.CUDA.compileCUDA();
```

## Questions?

Read the documentation [here](https://jrclust.readthedocs.io/en/latest/index.html) and the original bioRxiv paper [here](https://www.biorxiv.org/content/early/2017/01/30/101030).
Still have questions?
Visit our [Gitter community](https://gitter.im/JRCLUST/community) and ask!

Owner

  • Name: Brody-Lab
  • Login: Brody-Lab
  • Kind: organization

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