Neuroinformatics is a discipline that combines neuroscience with data science to manage, analyze, and model the enormous complexity of brain data. It provides computational infrastructure for integrating experimental, clinical, and genetic information into coherent frameworks.

The Neuroinformatics session focuses on databases, modeling tools, and machine-learning approaches that advance neural data integration and prediction. Researchers showcase how open data and AI platforms accelerate brain discovery and collaborative research.

At the Neuroinformatics Conference, data scientists, neuroscientists, and bioengineers explore innovations in brain atlas development, connectomics, and neural simulation. Topics include cloud infrastructure, standardized metadata, and AI-driven analysis of neural networks.

This session is ideal for those building bridges between computation and biology. Attendees will learn how big data pipelines, open-source repositories, and interoperability frameworks enable reproducible neuroscience.

Recent collaborations in Neural Network Models demonstrate how computational maps can simulate cognition and pathology, making neuroinformatics essential to precision neurology.