CEBRA

CEBRA is a method for analyzing neural and behavioral data through latent embeddings.
August 15, 2024
Web App, Other
CEBRA Website

About CEBRA

CEBRA is revolutionizing neuroscience by offering a sophisticated method for joint behavioral and neural analysis. Designed for researchers, it effectively maps neural activity to behavior using innovative latent embedding techniques. With capabilities for multi-session datasets, CEBRA provides unique insights into behavioral dynamics, making it indispensable for advancing neuroscience.

CEBRA provides a robust framework for data analysis with flexible pricing tiers tailored to research needs. Users can access basic tools for free, with premium options offering advanced features and additional support. Upgrading enhances data processing capabilities, granting researchers greater insights and accuracy in their analyses.

CEBRA features an intuitive and modern user interface that ensures a seamless experience. Its layout allows researchers to easily navigate through datasets, access features, and visualize results. The user-friendly design assists in efficient data handling while providing powerful analytical tools that enhance neuroscience research.

How CEBRA works

Users start by onboarding into CEBRA, where they upload their behavioral and neural datasets. The platform's intuitive interface guides them through processing their data using advanced machine learning techniques. Researchers can explore latent embeddings, conduct hypothesis testing, and visualize the connections between behavior and neural activity, making data analysis straightforward and insightful.

Key Features for CEBRA

Joint Behavioral and Neural Data Analysis

CEBRA's joint behavioral and neural data analysis capability allows researchers to uncover intricate relationships between neural activity and behavior patterns. This innovative feature makes it easier to decode complex behaviors and draw meaningful conclusions, enhancing the understanding of brain-behavior interactions in various species.

High-Performance Latent Spaces

CEBRA excels at generating high-performance latent spaces that reveal hidden structures within neural and behavioral data. This unique feature enables researchers to perform comprehensive analyses, fostering new insights and facilitating hypothesis testing. CEBRA transforms complex datasets into understandable representations for deeper scientific exploration.

Multi-Session Dataset Integration

CEBRA supports integration of multi-session datasets, enhancing the analysis of longitudinal studies in neuroscience. This feature allows researchers to track behavioral and neural changes over time, significantly improving the depth of insights gained from complex datasets and making it ideal for robust behavioral investigations.

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