Open access
Sep 2026
Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data
The generation of synthetic electroencephalography (EEG) data offers a promising strategy to mitigate the limited availability of clinical neurophysiological recordings, particularly intracranial EEG (iEEG), where acquisition is invasive, complex, and restricted to small patient cohorts. Although generative models can...
Inês Silveira, Luís Silva, Dania Furk et al.
· Discover Neuroscience · 0 citations