Information-theoretic Error Bounds for Source Localization in Neural Sensing
Theoretical analysis of EEG sensing system limits using Fisher information metrics.
Theoretical analysis of EEG sensing system limits using Fisher information metrics.
EEG source imaging for identifying infarct core and penumbra in ischemic stroke patients.
Study of how EEG electrode density affects deep learning-based source imaging performance.
Designing ML pipelines for learning predictive biomarker representations from high-dimensional neural recordings, source localization via convex optimization and deep learning, and posterior inference using conditional diffusion models.