Skip to main content

Python package for automatic post-processing and merging of multiple spike-sorting analyses.

Project description

Python version Documentation Status Build status Coverage report

Lussac 2.0

You can use the version 1 with git checkout v1

Lussac is an automated and configurable analysis pipeline for post-processing and/or merging multiple spike-sorting analyses. The goal is to improve the yield and quality of data from multielectrode extracellular recordings by comparing the outputs of different spike-sorting algorithms and/or multiple runs with different parameters. For more information, check out our preprint.

Installation

You can install the latest release version of Lussac:

# OPTIONAL: Use a conda environment.
conda create -n lussac python=3.12  # Must be >= 3.10
conda activate lussac

pip install lussac
# pip install --upgrade lussac  # To upgrade in case a new version is released.

Or if you prefer downloading the latest developmental version:

# Download Lussac in any directory you want.
git clone https://github.com/BarbourLab/lussac.git --branch dev
cd lussac

# OPTIONAL: Use a conda environment.
conda create -n lussac python=3.12  # Must be >= 3.10
conda activate lussac

# Install Lussac.
pip install -e ".[dev]"

# To upgrade Lussac.
git pull

# If you want to check whether the installation was successful (optional)
pytest

Documentation

You can find the documentation here.

Migration from Lussac1

Lussac2 is not backwards-compatible with Lussac1. We advise you to make a new conda environment, and to remake your params.json file (which is also not backwards-compatible).

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

lussac-2.0.0rc2.tar.gz (57.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

lussac-2.0.0rc2-py3-none-any.whl (66.8 kB view details)

Uploaded Python 3

File details

Details for the file lussac-2.0.0rc2.tar.gz.

File metadata

  • Download URL: lussac-2.0.0rc2.tar.gz
  • Upload date:
  • Size: 57.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for lussac-2.0.0rc2.tar.gz
Algorithm Hash digest
SHA256 caa3d4b914a0ea0e68b51f70a64490b3af99fae427c2e168104818c03b6e9f22
MD5 0b0fcff9ebf15636287e77a6c482994e
BLAKE2b-256 8f54c52e9b2a5b6d078465bf2bef2d13379f3fa4a816753908bdef1108f3fa0e

See more details on using hashes here.

File details

Details for the file lussac-2.0.0rc2-py3-none-any.whl.

File metadata

  • Download URL: lussac-2.0.0rc2-py3-none-any.whl
  • Upload date:
  • Size: 66.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for lussac-2.0.0rc2-py3-none-any.whl
Algorithm Hash digest
SHA256 d8b54f0e26b16fe8e3d18139aabd6f9c06b3a7e77d50c26bb4fdf18ef822d702
MD5 7cccf6345d0e9eba01e8fcaae2fa4839
BLAKE2b-256 d829d58eac885fc98cf76e2989e96a90e38c07ee0b81aef5d5ce007cc7e40fb5

See more details on using hashes here.

Supported by

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