neuralib-metric
Analysis metrics and computational modeling tools for neuroscience research, providing dimensionality reduction, Bayesian decoding, and locomotion analysis.
Overview
neuralib-metric provides Python tools for analyzing neural activity and behavior. It includes:
- Rastermap: Dimensionality reduction and visualization of neural recordings
- Bayesian Decoding: Position decoding from neural activity
- Locomotion Analysis: Movement epoch detection and position tracking
Installation
From PyPI
pip install neuralib-metric
With Optional Dependencies
# Rastermap support
pip install neuralib-metric[rastermap]
# All features
pip install neuralib-metric[all]
From Source (uv recommended)
git clone https://github.com/ytsimon2004/neuralib2.git
cd neuralib2/packages/neuralib-metric
uv pip install -e . # Basic installation
uv pip install -e ".[all]" # With optional features
Requirements
- Python 3.11 or 3.12
- Core dependencies:
neuralib-utils,numpy,numba - See
pyproject.tomlfor optional dependencies
Documentation
- Main Documentation: https://neuralib2.readthedocs.io/
- GitHub Repository: https://github.com/ytsimon2004/neuralib2
- Issue Tracker: https://github.com/ytsimon2004/neuralib2/issues
License
BSD 3-Clause License. See LICENSE file for details.
Contributing
Contributions are welcome! Please:
- Fork the repository
- Create a feature branch
- Submit a pull request with clear description
For bug reports and feature requests, use the GitHub issue tracker.
Acknowledgments
This package integrates with:
- Rastermap - Dimensionality reduction for neural data
1 maintainer
Metadata
1 maintainer
Release files for neuralib-metric 0.7.2
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Release files / neuralib_metric-0.7.2.tar.gz
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