Cebra

Introduction

Cebra is an advanced artificial intelligence tool designed to revolutionize the analysis and interpretation of complex time series data. Focused on uncovering hidden structures within data variability, Cebra shines for its capability to handle both behavioral and neural data simultaneously. It's not just a tool; it's a breakthrough method capable of decoding activity from a mouse's visual cortex to reconstruct viewed video, showcasing its power in bridging the gap between observed behavior and neural activity.

Features

• Advanced Latent Embeddings: Cebra employs learnable latent embeddings to compress time series data, revealing hidden structures and dynamics.
• Behavioral and Neural Data Analysis: Tailored to excel with data combining behavioral observations with neural recordings, providing a holistic view.
• High-Performance Decoding: Capable of decoding complex neural signals into meaningful outputs, such as reconstructing video from visual cortex activity.
• Flexible Application: Designed to support various tasks, from hypothesis testing to discovery-driven exploration, across different species and data types.