Taicheng Huang (黄泰诚)

Welcome to my homepage! I am currently a postdoc researcher in Department of Psychology at Tsinghua University. After September, I will come to Shanghai Mental Health Center to investigate psychiatric disorder.

I got my Ph.D. degree in the State Key Laboratory of Cognitive Neuroscience and Learning at Beijing Normal University (BNU), majoring in Cognitive neuroscience. I have several years of experience in human high-level vision and intuition inference processes, including face recognition, object recognition and intuitive physics. I combine neuroscience techniques (e.g., MRI, EEG), psychophysics experimental design, and computational methods (e.g., deep neural networks, and traditional machine learning) to figure out how humans successfully perform flexible cognitive abilities. Under the consideration of manipulation, in the near future I hope to combine patient and animal experiments to investigate the predictive nature of the brain, which in my opinion, is the key to understanding cognition.

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I'm interested in Psychophysics and Neuroscience. Particularly, I focus on:

• Game-based experimental design
• Functions of dorsal pathway
• Predictive coding and its neurocircuit

A world model on stochastic gravity knowledge allows humans to perform stability inference, suggesting predictive coding as a necessary ability for humans to perform intuition, and have adaptation to the dynamic natural environment.

A Cross-modal Deep Learning Framework for Brain Anatomo-functional Mapping.

A dataset prepared for the whole-body somatotopic mapping. Feel free to use it.

This study revealed age-related changes in the navigation network organization as increasing modularity under resting-state and increasing flexibility under task-state.

We revealed DCNNs form an object space like human being with an axis specifically encoding real-world size of objects to perform object recognition.

We found DCNNs emerged semantic relatedness spontaneously during the acquisition of object recognition ability.

We investigated interindividual variability of the functional visual motion region, in addition with a published atlas.

Design