Decode neural activity patterns to reveal behavioral correlations
CEBRA is a machine learning tool that analyzes brain activity and behavior data together to uncover hidden relationships. It helps researchers understand how neural signals relate to actions or sensory inputs like video perception. Works with various data types including calcium imaging and electrophysiology recordings across different animal species.
Creates interpretable data representations for joint neural-behavior analysis
Combines data from multiple experiments for stronger conclusions
Works with mouse, rat, and other experimental model data
Supports both supervised and self-supervised analysis approaches
CEBRA uniquely combines behavioral and neural data in both supervised and self-supervised learning approaches to produce consistent, interpretable latent spaces.
Yes, CEBRA supports analysis of multi-session datasets for more robust hypothesis testing.
While CEBRA enables high-accuracy decoding, current implementations focus on offline analysis of recorded datasets.
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Recent data shows that CEBRA has 5.2K monthly visits (49.1% increase from the previous month), 50.0% bounce rate, and average 1.60 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 2 countries worldwide, led by United States contributing 80% of total traffic. SEO performance is shown by 5 tracked keywords, with "cebra" being the top-performing keyword with 20.1K monthly searches. See below for more info.
Monthly Visits
5.2K
Pages per Visit
1.60
Bounce Rate
50.0%
Average Time on Site
30s
| SEO Keyword | Volume | CPC |
|---|---|---|
| cebra | 20.1K | $0.06 |
| cebra multi animal models | 0 | - |
| cebra partial labelling semi supervosed | 0 | - |
| cebras | 2.4K | $0.14 |
| zebra ai | 1.8K | $1.52 |
| Source | Traffic Share |
|---|---|
| Direct | 48% |
| Search | 39% |
| Social | 7% |
| Referrals | 5% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 80% |
 | 20% |
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