Tutorials

This series of tutorials provides a guided tour through the features of NeuralMI, from basic usage to advanced, scientifically rigorous analyses. We recommend following them in order to build a comprehensive understanding of the library.

Part 1: The Fundamentals

These tutorials cover the essential mechanics of the library.

• Tutorial 1: A First MI Estimate
• Tutorial 2: Handling Neural Data

Part 2: Core Concepts for Scientific Rigor

Learn how to go beyond a single estimate to perform robust analyses.

• Tutorial 3: Uncovering Temporal Dynamics in Neural Data
• Tutorial 4: A Better Standard - Bias Correction

Part 3: Advanced Analysis and Customization

Explore the library’s most powerful features and learn how to extend it.

• Tutorial 5: Uncovering Latent Dimensionality
• Tutorial 6: Choosing the Right Model and Estimator
• Tutorial 7: Advanced Customization with Custom Models