CEBRA

Explore the groundbreaking intersection of neuroscience and machine learning with CEBRA—revolutionizing the way we understand neural dynamics and behavior. CEBRA, a trailblazing method, goes beyond traditional linear models to offer non-linear techniques that meld behavioral and neural data for profound insights into the workings of the brain. Our sophisticated algorithm harnesses this complexity, embodying a cutting-edge approach to generating learnable latent embeddings. Its exceptional performance with calcium and electrophysiology datasets, across a vast array of tasks and behaviors, makes it indispensable for researchers. Delve into previously hidden correlations, embark on both hypothesis-led and discovery-driven investigations, and decode intricate patterns. Whether your study involves a single session or multiple, CEBRA stands as an indispensable beacon, illuminating the intricate spaces where behavior meets brain activity.

Key Features

• Non-Linear Embedding Techniques: Leverages advanced non-linear methods to merge behavioral and neural data revealing dynamic neural activity.

• Flexible Application: Suitable for diverse datasets including calcium imaging and electrophysiology and across various sensory and motor tasks.

• Label-Free Decoding: Provides the ability to decode complex kinematic features and reconstruct visual experiences without the need for external labeling.

• Multi-Session Analysis: Facilitates the exploration of consistent latent spaces in single and multi-session datasets for robust hypothesis testing.

• Rapid High-Accuracy Decoding: Empowers high-speed precise decoding of natural movies from the visual cortex advancing our understanding of neural representation.