Feng Liu

NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning

NeuroNarrator translates EEG segments into clinical narratives using spectro-spatial grounding and temporal state-space reasoning, enabling interpretable clinical interpretation.

Contrastive functional connectivity defines neurophysiology-informed symptom dimensions in major depression

This paper identifies two neurophysiology-informed symptom dimensions in MDD using contrastive functional connectivity analysis of fMRI data.

Detection of High-Frequency Oscillations from Intracranial EEG Data with Switching State Space Model

This paper uses a Switching State Space Model to automatically detect high-frequency oscillations in intracranial EEG data, improving accuracy compared to manual annotation.

Electrophysiological Brain Network Estimation with Simultaneous Scalp EEG and Intracranial EEG: Inference Algorithm and Applications

This paper introduces a framework integrating scalp EEG and intracranial EEG to estimate whole-brain electrophysiological networks using a state-space model and EM algorithm, showing improved performance over methods using only scalp EEG.

Task-Related EEG Source Localization via Graph Regularized Low-Rank Representation Model

This paper proposes a novel EEG source localization method that uses a graph-regularized low-rank representation model to improve task-related source reconstruction by eliminating spurious signals.