Unleashing the Power of CEBRA: Discover Correlations and Uncover Mechanisms

CEBRA is a powerful machine learning tool designed specifically for scientists seeking to unravel the mysteries of behavior and neural activity. By employing advanced non-linear techniques, CEBRA effortlessly generates consistent and high-performance latent spaces from joint behavioral and neural data. This groundbreaking capability allows researchers to create a mapping between behavioral actions and neural activity, helping them gain a deeper understanding of neural dynamics during adaptive behaviors and identify underlying correlations of behavior.

One of CEBRA's remarkable features is its ability to generate neural latent embeddings, which can be utilized for hypothesis testing as well as discovery-driven analysis. This versatility ensures that researchers have the flexibility they need to tailor the parameters and settings to match their specific research requirements. Furthermore, CEBRA is designed with user-friendliness in mind, boasting an intuitive interface and streamlined workflows that make it accessible and straightforward to use.

With CEBRA at their disposal, scientists are empowered to generate data-driven insights and reveal the hidden mechanisms behind behavior. The correlations between behavior and neural activity become apparent, allowing for a more comprehensive understanding of how these two domains intertwine. By unlocking these insights, researchers can delve deeper into the complexities of behavior and uncover the intricate workings of the brain.