Neural Sensing

Theoretical analysis of EEG sensing system limits using Fisher information metrics.

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.