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J. D. Pastrana-Cortés

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Open access Sep 2026

Transformer-Based Modeling of Directed Transfer Entropy Connectivity for EEG-Based ADHD Classification in Children

The Contextualized Transfer Entropy Network (CTE-Net) is proposed, an end-to-end deep-learning architecture that combines global content-based contextualization with nonlinear and directed EEG connectivity estimation and exhibited the lowest within-subject dispersion among the analyzed representation stages.

Alejandra Gomez-Rivera, J. D. Pastrana-Cortés, A. Álvarez-Meza et al. · 0 citations

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