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

2025-10-172025-10-17https://cris-uv.scimago.es/handle/123456789/6610A GENERATIVE MODEL OF EEG DYNAMICAL FUNCTIONAL CONNECTIVITY TO PREDICT NEURODEGENERATIVE-DISEASE PROGRESSION: CLOSING THE GAP BETWEEN BIOPHYSICAL AND MACHINE LEARNING MODELS