What is CEBRA?

CEBRA is an advanced machine learning technique designed to compress time series data, unveiling hidden structures and patterns. It excels in analyzing behavioral and neural data collected simultaneously, and can even decode visual cortex activity in mice to reconstruct the videos they are viewing.

What Makes CEBRA Unique?

CEBRA effectively integrates behavioral and neural data in either a supervised or self-supervised manner, resulting in consistent and high-performance latent spaces that reveal significant relationships within the data. Its embeddings facilitate precise decoding and hypothesis testing.

Key Features

• Compatible with calcium and electrophysiology data
• Applicable to sensory, motor, and complex behaviors
• Supports both single and multi-session datasets
• Operates label-free in a self-supervised manner
• Uncovers neural dynamics during natural behaviors
• Enables rapid and accurate decoding of stimuli from neural data
• Maintains consistent spaces across modalities such as 2-photon and Neuropixels

Pros & Cons Table

Who is Using CEBRA?

CEBRA is ideal for:

• Neuroscientists exploring the connections between neural activity and behavior
• Researchers working with electrophysiology and calcium imaging data
• Scientists focused on decoding stimuli and dynamics from neural data
• Experts studying sensory systems, motor control, and hippocampal spatial tuning

Support Options

For assistance, users can access the following resources:

• CEBRA GitHub Repo – Official implementation
• CEBRA Paper – Published in Nature
• CEBRA Preprint – Available on ArXiv
• CEBRA Twitter – Follow for updates
• CEBRA Mailing List – Subscribe for news
• CEBRA Email – Contact the authors

Pricing

Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official CEBRA website.

Integrations and API

CEBRA can be integrated with various data analysis tools and platforms, enhancing its usability across different research environments.

FAQ

For frequently asked questions regarding CEBRA, please refer to the official documentation or community forums.

Useful Links and Resources

• CEBRA GitHub Repo
• CEBRA Paper
• CEBRA Preprint
• CEBRA Twitter
• CEBRA Mailing List