Cebra

Discover CEBRA: A versatile library for estimating Consistent EmBeddings using high-dimensional data, ideal for biology and neuroscience research.

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Cebra's Top Features

Consistent embeddings of high-dimensional recordings

Self-supervised learning algorithms in PyTorch

Integration with popular data analysis libraries

Support for a variety of biology and neuroscience datasets

Multiple installation options (conda, pip, docker)

Open source under Apache 2.0 license

Active development and community contributions

High accuracy and performance in latent space modeling

Comprehensive documentation and usage guides

Support for analyzing both single and multi-session data

Frequently asked questions about Cebra

CEBRA is a library for estimating Consistent EmBeddings of high-dimensional Recordings using Auxiliary variables, primarily for biology and neuroscience datasets.

CEBRA is implemented in Python, utilizing self-supervised learning algorithms in PyTorch.

CEBRA is used for analyzing high-dimensional biological and neural recordings, including compressing time series data to reveal hidden structures in data variability.

CEBRA can be installed using conda, pip, or docker. Please refer to the dedicated Installation Guide on the CEBRA documentation site.

Yes, CEBRA is open source software available under the Apache 2.0 license since version 0.4.0.

Yes, CEBRA offers integrations for libraries like scikit-learn and matplotlib, and supports computing embeddings on DeepLabCut outputs.

CEBRA was initially developed by Steffen Schneider, Jin H. Lee, and Mackenzie Mathis. It is currently maintained by Steffen Schneider, Célia Benquet, and Mackenzie Mathis.

Step-by-step usage instructions for CEBRA are available under the Usage tab on the CEBRA documentation site.

Guidelines for contributing to CEBRA can be found under the Contributing tab on the CEBRA documentation site.

CEBRA supports a variety of datasets commonly used in biological and neuroscience research, including those from the mouse visual cortex and rat hippocampus.