Separating Intrinsic Ambiguity from Estimation Uncertainty in Deep Generative Models for Linear Inverse Problems
Disentangling intrinsic ambiguity from estimation uncertainty in deep generative models for linear inverse problems.
Interpreting Neural Combinatorial Optimization via Evolving Programmatic Bottlenecks
Interpreting neural combinatorial optimization via evolving programmatic bottlenecks.
Information-theoretic Error Bounds for Source Localization in Neural Sensing
Theoretical analysis of EEG sensing system limits using Fisher information metrics.
Identifying Neural Biomarkers of Risk-Taking from Intracranial EEG Recordings
Machine learning pipeline for identifying neural biomarkers of risk-taking behavior from intracranial EEG recordings.
DeepFocus: A Transnasal Approach for Optimized Deep Brain Stimulation of Reward Circuit Nodes
End-to-end simulation and optimization platform for deep brain stimulation, achieving >100x efficiency over state-of-the-art methods.
EEG Source Imaging of Infarct Core and Penumbra for Ischemic Stroke Patients
EEG source imaging for identifying infarct core and penumbra in ischemic stroke patients.
Effects of EEG Electrode Numbers on Deep Learning-Based Source Imaging
Study of how EEG electrode density affects deep learning-based source imaging performance.