Information-theoretic Error Bounds for Source Localization in Neural Sensing
Theoretical analysis of EEG sensing system limits using Fisher information metrics.
Source Localization
Machine Learning for Neural Sensing
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.