Chen,Guozhang

Chen, Guozhang is an Assistant Professor at the School of Computer Science, Peking University. His research focuses on the computational principles of the brain, particularly the relationship between its structure and function. He explores how the brain's physiology and dynamics contribute to its computational capabilities, with applications in brain-inspired and brain-like computing frameworks. His work intersects computing, neuroscience, and physics, with specific interests in areas such as autonomous driving and robotics. Chen has published extensively in top-tier journals, including Science Advances and Nature Communications.

Guozhang Chen's research focuses on Computational Neuroscience, Artificial Intelligence, and Statistical Physics. His work explores brain-like visual processing through data-based large-scale models of the primary visual cortex, emphasizing robust and versatile visual mechanisms. Chen investigates how neural activity patterns and population dynamics contribute to visual attention and learning in deep neural networks. His studies also examine the role of neural heterogeneity in reliable information processing and the impact of transient dynamics on neural coding. Additionally, he develops brain-inspired frameworks for stereo depth estimation and integrates anatomy, physiology, and function in cortical circuit simulations. His research bridges computational models with biological systems to uncover principles of neural computation and learning.