CEBRA

About CEBRA

CEBRA is a groundbreaking tool that merges behavioral and neural data analysis for neuroscience research. It employs advanced machine learning techniques to extract meaningful latent embeddings, enhancing our understanding of neural dynamics during adaptive behaviors. Researchers benefit from high-performance, consistent results in both simple and complex tasks across various species.

CEBRA offers flexible pricing with tiers catering to different research needs. The basic tier provides access to essential features, while premium options unlock advanced machine learning capabilities. Upgrading allows users to leverage state-of-the-art neural data analysis tools, significantly enhancing research outcomes and insights.

CEBRA features an intuitive user interface designed for seamless navigation and accessibility. Its layout simplifies the data analysis process, allowing researchers to quickly access powerful tools for joint behavioral and neural data modeling. User-friendly elements enhance the overall experience, making CEBRA adept at accommodating various research requirements.

How CEBRA works

Users begin with a simple onboarding process in CEBRA, integrating their behavioral and neural datasets. The platform employs sophisticated machine learning algorithms to analyze this data, generating meaningful latent embeddings. Researchers can effortlessly navigate the main features, utilizing tools for hypothesis testing or label-free options, ensuring efficiency and ease of use throughout their investigations.

Key Features for CEBRA

Joint Behavioral and Neural Data Analysis

CEBRA excels in combining behavioral and neural data, enabling researchers to unveil underlying behavioral correlates. This unique capability empowers scientists to enhance their studies with precise neural dynamics interpretations, improving both hypothesis-driven and discovery-driven approaches to data analysis.

High-Performance Latent Embeddings

CEBRA generates high-performance latent embeddings, crucial for understanding the complexities of neural activity. With its innovative machine learning techniques, researchers gain valuable insights into behavioral patterns, enhancing the quality and depth of their analytical work across species and tasks.

Rapid Decoding of Neural Data

CEBRA offers rapid decoding of neural activity from complex datasets, transforming how researchers interpret data. By utilizing advanced algorithms, it enables quick and accurate decoding of processes, facilitating immediate insights into visual and motor tasks for deeper understanding.