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Cebra

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Learnable latent embeddings for joint behavioral and neural analysis
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Cebra Features

Cebra: Unlocking the Secrets of Neural Data

Discover the power of Cebra, a cutting-edge machine learning tool that revolutionizes the analysis of behavioural and neural data. By harnessing non-linear techniques, Cebra creates consistent and high-performance latent spaces from joint behavioural and neural data recorded simultaneously.

Key Features:

– Neural Latent Embeddings: Uncover hidden patterns and make groundbreaking discoveries with Cebra’s powerful hypothesis testing and analysis capabilities.
– Validated Accuracy: Trust in Cebra’s proven efficacy, validated on a wide range of datasets including calcium and electrophysiology, sensory and motor tasks, and simple or complex behaviours across different species.
– Multi-session and Label-free: Whether you have single or multi-session datasets, Cebra adapts seamlessly to your needs, eliminating the need for labels.
– High-accuracy Decoding: Experience lightning-fast decoding of natural movies from the visual cortex, providing invaluable insights into neural activity.
– Code Availability: Access Cebra’s code on GitHub and dive deeper into the research by reading the pre-print on arxiv.org.

Use Cases:

– Unveil the hidden neural representations underlying behavioural and neural data, gaining a deeper understanding of the brain’s inner workings.
– Map and explore complex kinematic features in neuroscience research, unlocking new possibilities for breakthrough discoveries.
– Create consistent latent spaces across various data types and experiments, ensuring reliable and accurate results.

Cebra is the ultimate tool for neuroscientists seeking to decode and analyze behavioural and neural data, enabling a better understanding of the intricate neural representations involved in adaptive behaviours. Unleash the full potential of your research with Cebra today.

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