基本信息
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职业迁徙
个人简介
Our perceptual systems are shaped by the natural environment. We have studied how the statistical priors of 3D natural scenes are encoded in neural codes and neural circuits to facilitate perceptual computation. We are particularly interested in understanding how neural codes and neural computation are organized in a hierarchical compositional structure. In such a structure, elementary concepts can be flexibly combined into higher-order concepts and higher-order concepts can feedback to constrain the detailed high-resolution analysis in the early visual areas. We are interested in not only how the brain solves the challenging problems of visual cognition, but also why the brain might use such strategies and architecture. We answer these questions by recording from primate visual cortex, modeling neural activities using computational circuit models and machine learning approaches, and developing brain-inspired algorithms for solving real-world computer vision problems.
Research Interests: computational neuroscience, primate electrophysiology, computer vision, machine learning, neural data analysis, and circuit modeling.
Research Interests: computational neuroscience, primate electrophysiology, computer vision, machine learning, neural data analysis, and circuit modeling.
研究兴趣
论文共 163 篇作者统计合作学者相似作者
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biorxiv(2023)
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Corentin Massot, Xiaoqi Zhang, Zitong Wang, Harold Rockwell,George Papandreou,Alan Yuille,Tai-Sing Lee
biorxiv(2023)
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Tianye Wang, Hongxun Yao,Tai Sing Lee, Jiayi Hong, Yang Li, Hongfei Jiang, Ian Max Andolina,Shiming Tang
arXiv (Cornell University) (2023)
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Tianye Wang, Haoxuan Yao,Tai Sing Lee, Jiayi Hong, Yang Li, Hongfei Jiang,Ian Max Andolina,Shiming Tang
CoRR (2023)
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CoRR (2023)
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arXiv (Cornell University) (2023)
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Nikolas McNeal, Jennifer Huang, Aniekan Umoren,Shuqi Dai,Roger Dannenberg,Richard Randall,Tai Sing Lee
arxiv(2022)
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