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By modeling EEG dynamics in continuous time with Neural ODEs, ODEBrain avoids error accumulation and captures instantaneous, nonlinear brain activity better than recurrent architectures.
Personalized calibration can boost the coverage of conformal prediction by over 20% in EEG seizure classification, a task plagued by distribution shifts.
