CEBRA

About CEBRA

CEBRA is an innovative platform for neuroscientists, enabling the analysis of joint behavioral and neural data. Its primary feature is the generation of high-performance latent embeddings that reveal hidden structures in data. Users benefit from hypothesis testing and label-free analysis, enhancing their insights into neural dynamics.

CEBRA offers a free access model with options for premium features based on research institutional needs. Each tier enhances user capabilities, allowing more advanced analytics and support. Upgrading provides access to exclusive tools that amplify research effectiveness and streamline the analysis process, ensuring robust results from data.

CEBRA’s user interface is designed for intuitive navigation, facilitating seamless interaction with complex neural data. Its clean layout provides users with straightforward access to tools, filters, and visual analytics. With CEBRA, researchers experience a user-friendly environment that enhances usability and fosters effective data exploration.

How CEBRA works

Users start by uploading their behavioral and neural datasets to CEBRA. The platform guides them through preprocessing their data, followed by selecting analysis methods. Users can choose hypothesis-driven or discovery-driven approaches, generating latent embeddings that facilitate decoding neural activities or mapping behaviors. Encouraged by its interactive visualizations, researchers can efficiently interpret results, making CEBRA vital for advancing their studies in neuroscience.

Key Features for CEBRA

Joint Data Processing

CEBRA uniquely combines behavioral and neural data processing, enabling researchers to uncover meaningful insights. By leveraging its state-of-the-art algorithms, users access robust latent embeddings, improving their understanding of neural dynamics and enhancing scientific inquiry in neuroscience.

High-Performance Latent Embeddings

CEBRA offers high-performance latent embeddings, which are crucial for revealing hidden patterns within complex data. This feature allows users to conduct in-depth analyses across various datasets, improving the accuracy and consistency of their findings in behavioral neuroscience.

Flexible Data Utilization

CEBRA’s flexibility in utilizing single and multi-session datasets empowers researchers to perform comprehensive tests and analyses. This feature enhances the platform's appeal, enabling a wide range of applications from exploratory studies to deep hypothesis-driven research in neuroscience.