Explainable machine learning for cognitive neuroscience
research framework begun in Washington University in St. Louis, 2025
This project develops an explainable machine learning framework for cognitive neuroscience. The goal is to learn complex relationships between neural signals and cognitive behavior, then explain model decisions in a way that supports scientific interpretation rather than only predictive performance.
