A GENERATIVE MODEL OF EEG DYNAMICAL FUNCTIONAL CONNECTIVITY TO PREDICT NEURODEGENERATIVE-DISEASE PROGRESSION: CLOSING THE GAP BETWEEN BIOPHYSICAL AND MACHINE LEARNING MODELS

2025-04-022025-04-02https://cris-uv.scimago.es/handle/123456789/1338A GENERATIVE MODEL OF EEG DYNAMICAL FUNCTIONAL CONNECTIVITY TO PREDICT NEURODEGENERATIVE-DISEASE PROGRESSION: CLOSING THE GAP BETWEEN BIOPHYSICAL AND MACHINE LEARNING MODELS