Convolutional neural network models of V1 responses to complex patterns. - Yimeng Zhang; Tai Sing Lee; Ming Li; Fang Liu; Shiming Tang (J. Comput. Neurosci., 2019)

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons. - Ziniu Wu; Harold Rockwell; Yimeng Zhang; Shiming Tang; Tai Sing Lee (PLoS Comput. Biol., 2021)

Decoding Pixel-Level Image Features From Two-Photon Calcium Signals of Macaque Visual Cortex. - Yijun Zhang 003; Tong Bu; Jiyuan Zhang; Shiming Tang; Zhaofei Yu; Jian K. Liu; Tiejun Huang 001 (Neural Comput., 2022)

A large calcium-imaging dataset reveals a systematic V4 organization for natural scenes. - Tianye Wang; Haoxuan Yao; Tai Sing Lee; Jiayi Hong; Yang Li; Hongfei Jiang; Ian Max Andolina; Shiming Tang (CoRR, 2023)

Incremental Learning and Self-Attention Mechanisms Improve Neural System Identification. - Isaac Lin; Tianye Wang; Shang Gao; Shiming Tang; Tai Sing Lee (CoRR, 2024)

Self-Attention-Based Contextual Modulation Improves Neural System Identification. - Isaac Lin; Tianye Wang; Shang Gao; Shiming Tang; Tai Sing Lee (ICLR, 2025)