A Nonlinear Stochastic Differential Model of EEG Dynamics with Bayesian Change-Point Detection for Early Identification of Brain Abnormalities
Electroencephalography (EEG) signals exhibit complex nonlinear and stochastic dynamics that fundamentally reflect underlying neural processes. Despite decades of clinical application, conventional EEG analysis remains constrained by linear assumptions or opaque black-box architectures that obscure mechanistic understan...