Transformer-Based Modeling of Directed Transfer Entropy Connectivity for EEG-Based ADHD Classification in Children
Alejandra Gomez-Rivera, Julián David Pastrana-Cortés, Andrés Marino Álvarez-Meza, Julian Gil-Gonzalez, David Cárdenas-Peña · 2026
Read Transformer-Based Modeling of Directed Transfer Entropy Connectivity for EEG-Based ADHD Classification in Children by Alejandra Gomez-Rivera, Julián David Pastrana-Cortés, Andrés Marino Álvarez-Meza, Julian Gil-Gonzalez, David Cárdenas-Peña (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13611253.txt.
Description
Alejandra Gomez-Rivera and four co-authors build a transformer based model that sorts children with ADHD from brain wave records by mapping directed links between brain sites. Brain wave tests are cheap and need no surgery, but their signals shift over time. The study came out in twenty twenty-six.
The model, called CTE-Net, first uses a transformer to set context for each signal window. Filters and delay maps then reshape the signals. A smooth module gauges how much one site helps predict another, in both orders, for all pairs of sensors. Those link scores feed the sorting step. Tests used a public child brain wave set with equal groups.
Catalog record
| CREATOR | Alejandra Gomez-Rivera, Julián David Pastrana-Cortés, Andrés Marino Álvarez-Meza, Julian Gil-Gonzalez, David Cárdenas-Peña |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 76 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |