Huzheng Yang

Upgrading Voxel-wise Encoding Model via Integrated Integration over Features and Brain Networks

This paper improves voxel-wise encoding models by integrating DNN features and brain network information, achieving better prediction of whole-brain neural activity during naturalistic video perception.

Does nonlinearity exist in the functional connectivity?

The paper examines non-linear functional connectivity using resting-state fMRI data and finds that non-normal distribution patterns are rare and inconsistent across subjects.

Effective Ensemble of Deep Neural Networks Predicts Neural Responses to Naturalistic Videos

The paper describes an ensemble of deep neural networks that predict neural responses to naturalistic videos using multiple input perspectives, achieving state-of-the-art performance.

Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder

This paper develops an Edge-weighted Graph Attention Network to classify Bipolar Disorder from healthy controls using structural and functional brain data, achieving improved accuracy and F1-score.