CEBRA
About CEBRA
CEBRA is an advanced tool designed for neuroscience researchers, enabling them to connect behavioral actions with neural activity through learnable latent embeddings. This unique platform allows users to analyze large datasets effectively, gaining insights into neural representations and uncovering intricate behavioral patterns using both supervised and self-supervised learning approaches.
CEBRA offers users free access to its core functionalities, with additional premium features available for a subscription fee. The pricing plans are designed to provide value for both individual researchers and larger institutions, granting enhanced capabilities for decoding and testing hypotheses using complex behavioral and neural datasets.
CEBRA's user interface is designed for intuitive navigation, enhancing the research experience. Its clean layout and well-organized features allow researchers to easily access tools for analyzing joint datasets. CEBRA prioritizes user experience, making it simple to explore latent embeddings and neural behaviors efficiently.
How CEBRA works
To start using CEBRA, users sign up and upload their behavioral and neural datasets. The platform utilizes advanced machine-learning techniques to create latent embeddings, revealing correlations and dynamics in the data. Users can navigate through features such as hypothesis testing and label-free analysis, facilitating an interactive and insightful research experience.
Key Features for CEBRA
Learnable latent embeddings
The learnable latent embeddings feature of CEBRA allows researchers to reveal hidden structures in behavioral and neural data. By employing advanced machine-learning techniques, CEBRA helps users to efficiently decode complex neural activities, facilitating a deeper understanding of adaptive behavior patterns and underlying dynamics.
Integration of multimodal data
CEBRA excels in integrating behavioral and neural data, providing a holistic approach to neuroscience research. This key feature allows users to leverage both calcium and electrophysiology datasets effectively, enhancing the understanding of neural dynamics during various sensory and motor tasks across multiple species.
High-accuracy decoding
CEBRA offers high-accuracy decoding of natural movies from visual cortex data, showcasing its ability to process complex visual information. This feature not only enhances research on neural encoding but also aids in real-time decoding tasks, making it invaluable for researchers studying visual processing in the brain.
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