CEBRA
About CEBRA
CEBRA is a pioneering platform that combines behavioral and neural data analysis, allowing researchers to uncover neural dynamics in adaptive behaviors. Its unique non-linear techniques produce high-performance latent spaces, making it essential for neuroscientists exploring the relationship between behavior and neural activity.
CEBRA offers free access to its core features, with options for premium subscriptions granting enhanced functionalities. Users can benefit from improved analysis tools and extended support. Upgrading unlocks advanced capabilities that facilitate deeper insights into complex neural and behavioral datasets.
CEBRA features a user-friendly interface that streamlines navigating through behavioral and neural data analysis tools. Its intuitive design enables researchers to quickly access essential functionalities, promoting efficient research workflows while enhancing the overall user experience.
How CEBRA works
Users begin by onboarding to CEBRA, where they can upload their behavioral and neural datasets. The platform utilizes advanced algorithms to analyze these datasets, creating latent embeddings that highlight correlations between behavior and neural activity. Users navigate through various analysis tools and features, simplifying the exploration process and enabling researchers to extract significant insights.
Key Features for CEBRA
Joint Data Analysis
The joint data analysis feature of CEBRA enables researchers to effortlessly integrate and examine behavioral and neural datasets. This unique capability facilitates in-depth exploration of correlations between actions and neural dynamics, making CEBRA an invaluable tool in neuroscience research.
High-Performance Latent Spaces
CEBRA's high-performance latent spaces provide researchers with robust insights into neural and behavioral patterns. This key feature enhances the analytical capabilities of users, allowing for the discovery of underlying structures in complex datasets, thereby promoting innovative findings in neuroscience.
Hypothesis-Driven Testing
CEBRA supports hypothesis-driven testing, allowing users to validate predictions against behavioral and neural data. This feature empowers researchers with the tools to test specific theories, enhancing credibility and fostering deeper understandings of the relationship between neural activity and behavior.
