What is Cebra?

Cebra is an advanced machine learning application that specializes in compressing time series data while uncovering concealed patterns and fluctuations. Its exceptional capabilities lie in the analysis of behavioral neural data, particularly in decoding the activity within the visual cortex of a mouse brain to reconstruct visual content that was previously viewed.

Cebra Use Cases

• Creating efficient latent spaces for sensory motor tasks and behaviors in different species.
• Utilizing unlabeled single and multi-session datasets for hypothesis testing.
• Examining visual cortex activity in mouse brain to reconstruct observed videos.
• Efficiently storing and analyzing time series data through compression.
• Mapping rat hippocampus data to reveal intricate kinematic characteristics.