Neuralyzer
  • Introduction
  • Getting Started
  • Learning Resources
  • Reference Guides
    • User Guide
    • Developer Guide
    • API Reference

Neuralyzer

Complex Neuroscience Analysis. No Coding Required.

A powerful, cross-platform toolkit for visualizing and analyzing experimental data.

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Synchronized Visualization

Experience your data in perfect context. Neuralyzer provides temporally synchronized playback of high-speed video, analog traces, and spike data, reproducing the entire experiment. Navigate seamlessly between different levels of abstraction—from raw data points to complex analysis results—to verify every insight.

Powerful Analysis

Access a comprehensive suite of built-in algorithms for tracking, signal processing, and behavioral quantification. For advanced needs, native Python support allows you to integrate custom analysis routines and instantly visualize the results within the application.

Data Management

Tame your experimental data. Streamline your workflow from data ingestion to dataset generation. Visualize and create deep learning labels directly on your data, manage complex experimental hierarchies, and export labeled videos for training or presentation.


Community & Support

Learning Resources

Master Neuralyzer with our comprehensive collection of tutorials and how-to guides. Explore Resources

Join the Discussion

Connect with other users, ask questions, and share your feedback on GitHub. GitHub Discussions

Developer Documentation

Interested in contributing? Dive into our technical guides and API reference. Developer Guide