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Cebra

CEBRA

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Overview

Mapping behavioural actions to neural activity is a fundamental goal of neuroscience. As our ability to record large neural and behavioural data increases, there is growing interest in modeling neural dynamics during adaptive behaviors to probe neural representations. In particular, neural latent embeddings can reveal underlying correlates of behavior, yet, we lack non-linear techniques that can e

Focus Area

Open-Source Non-Linear Dimensionality Reduction for Neural & Behavioral Data

Core Features & Capabilities

Neural Signal Decoding: Maps complex brain activity (EEG, fMRI, two-photon imaging) to behavioral metrics.
Supervised & Self-Supervised Compression: Compresses high-dimensional neural datasets into visual low-dimensional spaces.
Cross-Subject Alignment: Aligns neural recordings across multiple experimental subjects for comparative research.

Best For

Generating presentation slides from prompts or docs
Content WritersSoftware DevelopersDesigners

Integrations

GitHubLinear

Architecture & Security

Open-Source Python Machine Learning Library: Jointly developed by EPFL researchers; available on PyPI and GitHub.

Pricing Details

Open-Source Tool: $0 (Completely free for academic research and scientific usage).

Quick Info

PricingSubscription
ComplexityIntermediate
DeploymentCloud
Time to ValueFew minutes
API AvailableYes
Free TrialNo
Open SourceNo

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