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.

.. toctree::
   :maxdepth: 1

   tutorials/01_A_First_Estimate.ipynb
   tutorials/02_Handling_Neural_Data.ipynb

Part 2: Core Concepts for Scientific Rigor
------------------------------------------

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

.. toctree::
   :maxdepth: 1

   tutorials/03_Finding_Temporal_Relationships.ipynb
   tutorials/04_Bias_Correction.ipynb

Part 3: Advanced Analysis and Customization
-------------------------------------------

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

.. toctree::
   :maxdepth: 1

   tutorials/05_Uncovering_Latent_Dimensionality.ipynb
   tutorials/06_Choosing_the_Right_Model_and_Estimator.ipynb
   tutorials/07_Advanced_Customization.ipynb