Cebra
Pricing Model
Free
Deployment
Open Source
No Signup Required
AI Tool Description
Cebra is a machine learning tool that creates high-performance and consistent latent spaces from joint behavioural and neural data.
Cebra provides multi-session and label-free analysis that can be applied to various data types and experiments. The tool uses neural latent embeddings for hypothesis testing and discovery-driven analysis. This makes Cebra ideal for analyzing and decoding behavioural and neural data.
Some of the key features of Cebra include high-accuracy decoding, validated accuracy, multi-session and label-free, and code availability. Use cases for Cebra include analyzing and decoding behavioural and neural data, uncovering complex kinematic features, and producing consistent latent spaces.
Features
- Multi-session and label-free
- High-accuracy decoding
- Code availability
- Neural latent embeddings
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