Author

Shi Tang

Chinese University of Hong Kong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Alicia Che· 1 shared Amanda Wu· 1 shared Amira Ibrahim· 1 shared Annabel ChangiD· 1 shared Bernardo Luis SabatiniiD· 1 shared Chenxin Liu· 1 shared Emilia Favuzzi· 1 shared Emory K. Farrell· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Alicia Che

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Sensory neurons gate a cortical plasticity window for immune encoding

Zachary H. Gursky, Shi Tang, Min Wu, Chenxin Liu, Shao-Yu Fang, Emory K. Farrell, Suganya Subramanian, Amanda Wu, Patricia Colom Díaz, Amira Ibrahim, Stefano Berto, Alicia Che, Emilia Favuzzi

The paper shows that sensory neurons open a multi-day cortical plasticity window aligned with immune responses, mediated by sequential activation of inhibitory and excitatory interneurons.

bioRxiv · Nov 3, 2026 · PreprintNeuroscience

Striatum supports fast learning but not memory recall

Kimberly Reinhold, Marci Iadarola, Shi Tang, Annabel Chang, Whitney N. Kuwamoto, Madeline A Albanese, Senmiao Sun, Richard Hakim, Joshua Zimmer, Wengang Wang, Bernardo Luis Sabatini

The paper shows that striatal activity is required for trial-to-trial learning improvements but not for memory recall.

Nature · May 7, 2025Peer-reviewedNeuroscience

Distinct Neurodevelopmental Patterns and Intermediate Integration-Based Predictive Modeling in Autism Spectral Disorder

Yanlin Wang, Shiqiang Ma, Ruimin Ma, Linxia Xiao, Shi Tang, Yanjie Wei, Yi Feng Pan

This study identifies distinct neurodevelopmental patterns in ASD and introduces LMFGCN, a deep-learning model that improves ASD classification by integrating cortical morphology data.

bioRxiv · Jun 26, 2023 · PreprintNeuroscience