neuralib-metric 0.7.1

Tools for analysis metrics and computational modeling

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.toml for 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:

1. Fork the repository
2. Create a feature branch
3. 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