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Cebra

Revolutionizes time series analysis, decoding complex neural and behavioral data.

ResearchFree Open Source Free Tier

Screenshots

Cebra screenshot 1

About Cebra

Cebra is an advanced artificial intelligence tool designed to revolutionize the analysis and interpretation of complex time series data. It excels in uncovering hidden structures within data variability, particularly in behavioral and neural data. Cebra can decode activity from a mouse's visual cortex to reconstruct viewed video, bridging the gap between observed behavior and neural activity. Key features include advanced latent embeddings for data compression, high-performance decoding of neural signals, and flexible applications for various research tasks. Cebra is ideal for neuroscientists, behavioral researchers, healthcare data scientists, and educational institutions, providing unmatched insights into neural dynamics and behavior.

Key Features

  • Advanced Latent Embeddings for compressing time series data.
  • Behavioral and Neural Data Analysis for a holistic view.
  • High-Performance Decoding of complex neural signals.
  • Flexible Application for various research tasks.

Use Cases

Neural activity mapping Behavioral data analysis Medical time series analysis Educational tool for advanced courses

Target Audience

neuroscientists behavioral researchers healthcare data scientists educational institutions

Supported Languages

en

Platform Availability

Pricing

Free access to the core Cebra algorithm on GitHub.

Free tier available

Technical Information

License: Open Source

Resources and Community

Growing community on GitHub

Tags

researcheducation

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Cebra