Huiguang He

The paper uses digital twins of V4 neurons to identify functional clusters that match known visual maps and reveal integration rules through lesion studies.

This study investigates how VTC features influence object manifold separability using ANN modeling, fMRI, and MEG, showing dynamic geometric adjustments in neural representations.

This paper introduces a deep neural network framework to learn 'what' and 'where' in human visual cortex encoding, achieving better performance with fewer prior assumptions.