Fan Cheng

This study reconstructs visual illusory experiences from brain activity using a decoding technique and deep neural networks, showing that reconstructions match illusory percepts.

This study develops a neural code converter to align brain activity patterns across individuals, enabling inter-individual visual image reconstruction while preserving hierarchical representations.

This paper develops a statistical framework for connexel-wise analysis in brain-wide association studies, improving power and reducing false positives using spatial information from fMRI data.

This paper introduces sKPCR, a method for identifying voxel-phenotype associations in dense connectomes, showing better reproducibility and overlap with existing schizophrenia findings.