CEBRA

About CEBRA

CEBRA is a cutting-edge tool designed for researchers in neuroscience, allowing them to analyze behavioral and neural data cohesively. Its innovative use of learnable latent embeddings enables users to uncover neural dynamics and behavioral correlations, enhancing understanding of complex actions across species and tasks.

CEBRA offers free access to its basic functionalities, with premium tiers available for extensive features and dataset analysis. Each subscription includes specialized tools for hypothesis testing and label-free analysis, making the value progressively higher with each upgrade, catering specifically to neuroscience researchers.

CEBRA features a user-friendly interface that simplifies the navigation of complex data sets. Its intuitive design allows users to efficiently access tools for decoding and analyzing neural recordings, ensuring a seamless experience that promotes quick learning and effective data interpretation for scientists and researchers in neuroscience.

How CEBRA works

Users begin by uploading their behavioral and neural datasets to CEBRA, where they can choose between hypothesis-driven or discovery-driven analysis modes. The platform then utilizes advanced machine learning techniques to generate learnable latent embeddings, which reveal hidden structures in the data. Researchers can interact with visual outputs, enabling rapid decoding and insight generation tailored to their specific experiments.

Key Features for CEBRA

Learnable Latent Embeddings

CEBRA's learnable latent embeddings are its standout feature, providing unique insights into the interplay between behavioral actions and neural activity. By compressing complex datasets, CEBRA empowers researchers to extract and decode significant patterns, enhancing their understanding of brain dynamics during various activities.

Joint Behavioral and Neural Analysis

CEBRA excels in joint behavioral and neural analysis, allowing users to leverage simultaneous recordings for deeper insights. This feature enhances the ability to correlate neural dynamics with specific behaviors, providing a comprehensive view of how organisms respond in different contexts and improving experimental outcomes for researchers.

Versatile Data Application

CEBRA supports both calcium imaging and electrophysiology datasets, making it versatile for a range of applications in neuroscience. This feature broadens its usability across various sensory and motor tasks, enabling researchers to adopt the platform in diverse experimental setups, thus maximizing the potential of their data.