Cebra
Cebra is a machine learning tool that compresses time series neural data to reveal hidden structures and variability in mouse visual cortex and rat hippocampus recordings.
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Key Features
Time Series Compression
Reduces dimensionality while preserving data variability.
Neural Decoding
Decodes visual cortex and sensorimotor activity effectively.
Spatial Mapping
Maps hippocampal data to uncover kinematic features.
Multi-Session Support
Leverages single and multi-session datasets for analysis.
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Why Choose Cebra
Self-Supervised:
Learns latent spaces without requiring labeled data.Cross-Species:
Validates across multiple species and neural datasets.High Accuracy:
Produces consistent embeddings for precise decoding.
Pricing
For current prices, visit the official page.
About Cebra
Cebra is a machine learning tool that compresses time series neural data to reveal hidden structures and variability in mouse visual cortex and rat hippocampus recordings.
What Cebra Does
Cebra compresses time series behavioral and neural data to reveal hidden structures and variability, aiding in decoding neural activity and mapping spatial features. It benefits researchers by enabling efficient analysis of complex neural recordings.
The tool uses a self-supervised learning algorithm that jointly embeds behavioral and neural data into consistent latent spaces. It supports multiple data types, including 2-photon and Neuropixels recordings, and can decode visual cortex activity and hippocampal spatial representations.
Typical applications include reconstructing viewed videos from mouse visual cortex data, decoding trajectories in sensorimotor cortex, and mapping rat hippocampus activity to spatial navigation, supporting neuroscience and computational biology research.
Pros & Cons
Versatile
Applicable to diverse neural and behavioral datasets.
Open Source
Code and documentation available on GitHub.
Technical Setup
Requires expertise in machine learning and neuroscience.
Limited Pricing Info
No publicly detailed pricing available.
Frequently Asked Questions
Cebra analyzes behavioral and neural time series data, including 2-photon and Neuropixels recordings.
Pricing details are not publicly available; visit the official page for current information.
No, it supports self-supervised learning and can work without labeled datasets.
Documentation and code are accessible via links on the official Cebra website and GitHub repository.
Yes, it has been validated on data from mice, rats, and primates.
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