xEEGNet: Towards explainable AI in EEG dementia classification.

Journal: Journal of neural engineering
Published Date: Aug 2, 2025

Abstract

OBJECTIVE: This work presents xEEGNet, a novel, compact, and explainable neural network for EEG data analysis. It is fully interpretable and reduces overfitting through a major parameter reduction.

Authors

  • Andrea Zanola
  • Louis Fabrice Tshimanga
    Department of Neuroscience, University of Padua, Padua, Padua, Veneto, 35128, ITALY.
  • Federico Del Pup
  • Marco Baiesi
    Physics and Astronomy Department "Galileo Galilei", University of Padova, Via Marzolo 8, 35131, Padua, Italy.
  • Manfredo Atzori

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals