CEBRA
About CEBRA
CEBRA is a cutting-edge platform designed to analyze and decode joint neural and behavioral data. It utilizes advanced machine-learning techniques to create high-performance latent spaces, enabling researchers to uncover hidden structures in complex datasets. CEBRA empowers neuroscientists to derive insights into neural dynamics, enhancing research capabilities.
CEBRA offers flexible pricing plans suitable for researchers and institutions. Plans may include options for individual users or teams, each providing access to unique features. Upgrading unlocks advanced functionalities, such as multi-session analysis and enhanced decoding capabilities, catering to various neuroscience research needs.
The user interface of CEBRA is designed for intuitive navigation, ensuring a seamless user experience. Its layout features easy access to key tools and functionalities, enabling researchers to efficiently analyze their datasets. CEBRA's user-friendly design minimizes the learning curve, enhancing usability for all users.
How CEBRA works
Users begin by onboarding with CEBRA and uploading their neural and behavioral datasets. The platform then utilizes advanced machine learning algorithms to analyze the data, producing learnable latent embeddings. Researchers can navigate the intuitive interface to explore insights, conduct hypothesis testing, and visualize their findings, all while benefiting from CEBRA's powerful features.
Key Features for CEBRA
Learnable latent embeddings
CEBRA's learnable latent embeddings uniquely capture the relationship between behavioral actions and neural activity. This feature empowers researchers to decode neural dynamics effectively, providing valuable insights into complex behaviors and improving the accuracy of analyses across various datasets and species.
High-performance latent spaces
CEBRA generates high-performance latent spaces that enhance the understanding of neural representations. This feature allows researchers to leverage their datasets effectively, facilitating deeper insights into neuronal dynamics and supporting both hypothesis-driven and discovery-driven approaches in neuroscience research.
Multi-session datasets capability
CEBRA's ability to handle multi-session datasets is a key feature that enhances its research applicability. By integrating data from multiple sessions, researchers can conduct comprehensive analyses and improve the robustness of their findings, ultimately leading to more accurate interpretations of neural dynamics and behavior.
