Changde Du

Characterizing Functional Clusters of V4 Neurons in Digital Twins

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

Representation, Alignment, and Generation: A Comprehensive Survey of Foundation Models for Non-Invasive Brain Decoding

This paper surveys foundation models for non-invasive brain decoding, reviewing their applications and challenges in visual, language, and auditory domains.

Geometric structure of features underlies human VTC object recognition.

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

Neural Encoding for Human Visual Cortex with Deep Neural Networks Learning "What" and "Where"

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.