Cebra

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CEBRA is a machine-learning method that can be used to compress time series in a way that reveals ot0
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What is Cebra?

Cebra is a machine learning tool used to compress time series data and reveal hidden structures and variability. It excels in analyzing behavioral neural data and can decode activity in the visual cortex of a mouse brain to reconstruct viewed video. Cebra can also be applied to rat hippocampus data and 2-photon neuropixels recordings to map the space and uncover complex kinematic features. The tool uses behavioral and neural data in a joint, learnable, and self-supervised manner to produce consistent high-performance latent spaces. It is validated for accuracy and utility across sensory motor tasks and simple and complex behaviors across species. Cebra also allows single and multi-session datasets to be leveraged for hypothesis testing without the need for labeling. The pre-print paper and software implementation for the algorithm are available on arxiv and Github respectively.



More information on Cebra

Launched
2022-04-01
Pricing Model
Free
Starting Price
Global Rank
4576596
Country
Month Visit
13.2K
Tech used
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Top 5 Countries

29.2%
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Traffic Sources

66.97%
17.64%
13.69%
1.7%
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Updated Date: 2024-04-30
Cebra was manually vetted by our editorial team and was first featured on September 4th 2024.
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